Dr. Angelo Arleo (Director of Research CNRS)

Vision Institute
Aging in Vision and Action Lab
CNRS – INSERM – University Pierre&Marie Curie
17, rue Moreau F-75012 Paris, France
Phone: +33 (0)1 53 46 26 52
Mobile: +33 (0)6 46 84 09 56

email:

Angelo Arleo is a Director of Research (DR2) at CNRS and a team leader at the Vision Institute, Paris, where he explores the perceptual and cognitive consequences of visual aging in humans. He is the Chairholder of the ANR–Essilor research chair SILVERSIGHT, which pioneers fundamental research on healthy visual aging, action and autonomy to foster innovative health care developments.

His research is primarily centred on the neural processes mediating multisensory integration, contextual learning, and spatial cognitive functions. He also focuses on adaptive neural computation and brain information processing. His approach combines experimental neuroscience and computational modelling to cross-link different organization levels, from single cell to behaviour. In addition, the validation of models through robotic implementations inscribes some aspects of his research within a neuroengineering framework.

He received a MSc degree from the University of Mathematical Science of Milan, Italy, in 1996. He joined Wulfram Gerstner’s Laboratory of Computational Neuroscience at the EPFL (Swiss Federal Institute of Technology Lausanne, Switzerland) where he received his PhD in 2000. He did a postdoctoral training in experimental neuroscience in Alain Berthoz’s Laboratory of Physiology of Perception and Action at Collège de France, Paris, from 2001-2003. He worked as an associate R&D fellow at CSL Sony, Paris, from 2004 to 2006. He received his Habilitation to Direct Research (HDR) in Life Science from the University Pierre and Marie Curie, Paris, in 2005. He was appointed as a CNRS researcher in 2006. From 2007 to 2013 he directed the Adaptive NeuroComputation (ANC) group in the unit of Neurobiology of Adaptive Processes, directed by Jean Mariani, at the University Pierre & Marie Curie, in Paris. In 2012 he was appointed as a Director of Research at CNRS. In 2014, he joined the Vision Institute, directed by José-Alain Sahel, as the head of the new Aging in Vision and Action research lab.

Keywords: Healthy aging, spatial cognition, active exploration, multisensory integration, neural coding, learning mechanisms, memory, experimental neuroscience, neurocomputational modelling, autonomy loss, visual aids, rehabilitation.

 

 CV and Publication List (pdf): [ download ]

 

Publications

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2023

  1. Durteste M, Van Poucke L, Combariza S, Benziane B, Sahel J-A, Ramanoel S and Arleo A (2023) The vertical position of visual information conditions spatial memory performance in healthy aging. Communications Psychology (in press).
  2. Bécu M, Sheynikhovich D, Ramanoël S, Tatur G, Ozier-Lafontaine A, Authié CN, Sahel J-A and Arleo A (2023) Landmark-based spatial navigation across the human lifespan. eLife, 12:e81318.
  3. Sheynikhovich D, Otani S, Bai J and Arleo A (2023) Long-term memory, synaptic plasticity, and dopamine in rodent medial prefrontal cortex: Role in executive functions. Frontiers in Behavioral Neuroscience, (in press).

2022

  1. Durteste M, Van Poucke L, Combariza S, Benziane B, Ramanoel S and Arleo A (2022) The vertical position of visual information conditions spatial memory performance in healthy ageing. In 17th International Conference for Young Researchers in Psychology (JSJC), Lille, France.
  2. Naveilhan C, Delaux A, Durteste M, Lebrun J, Zory R, Arleo A and Ramanoel S (2022) Top-down modulation of brain visual coding of navigational affordances during spatial decision task. In 17th International Conference for Young Researchers in Psychology (JSJC), Lille, France.
  3. Durteste M, Van Poucke L, Combariza S, Benziane B, Ramanoel S and Arleo A (2022) The vertical position of visual information conditions spatial memory performance in healthy aging. BioRxiv Preprint.
  4. Ramanoel S, Durteste M, Delaux A, Habas C and Arleo A (2022) The neural underpinnings of visual information processing for spatial navigation in healthy aging. In 22nd conference of the European Society for Cognitive Psychology (ESCOP), Lille, France.
  5. Rocco G, Ramanoel S, Habas C, Arleo A, Meste O, Magnié-Mauro MN and Lebrun J (2022) When fNIRS meets fMRI to complement cerebellar exploration. In IEEE International Symposium on Biomedical Imaging (ISBI), Kolkata, India.
  6. Ramanoel S, Durteste M, Bizeul A, Ozier-Lafontaine A, Becu M, Sahel AJ, Habas C and Arleo A (2022) Selective neural coding of object, feature, and geometry spatial cues in humans. Human Brain Mapping.
  7. Ramanoel S, Durteste M, Perot V, Habas C and Arleo A (2022) An appraisal of the role of the neocerebellum for spatial navigation in healthy aging. The Cerebellum.
  8. Durteste M, VanPoucke L, Combariza S, Benziane B, Ramanoel S and Arleo A (2022) Spatial memory in healthy ageing is modulated by upper-lower visual field asymmetries. In Federation of European Neuroscience Societies (FENS), Paris, France.
  9. Durteste M, VanPoucke L, Benziane B, Ramanoel S and Arleo A (2022) The vertical position of visual information influences memory in healthy aging. In Colloque des Jeunes Chercheurs en Sciences Cognitives (CJC-SCo), Paris, France.
  10. Delaux A, Durteste M, Ariztegui A, Benziane B, Ramanoel S and Arleo A (2022) Functional implications of vertical coding biases in scene-selective regions on spatial orientation: evidence from source localized EEG recording. In Federation of European Neuroscience Societies (FENS), Paris, France.
  11. Ramanoel S, Durteste M, Delaux A, de Saint Aubert J-B and Arleo A (2022) Future trends in brain aging research: visuo-cognitive functions at stake during mobility and spatial navigation. Aging Brain, 2:100034.
  12. Luque NR, Naveros F, Abadiab I, Ros E and Arleo A (2022) Electrical coupling regulated by GABAergic nucleo- olivary afferent fibres facilitate cerebellar sensory-motor adaptation. Neural Networks, 155:422-438.
  13. Luque NR, Naveros F, Sheynikhovich D, Ros E and Arleo A (2022) Computational epidemiology study of homeostatic compensation during sensorimotor aging. Neural Networks, 146:316-333.

2021

  1. Delaux A, de Saint Aubert J-B, Ramanoel S, Bécu M, Gehrke L, Klug M, Chavarriaga R, Sahel J-A, Gramann K and Arleo A (2021) Mobile brain/body imaging of landmark-based navigation with high-density EEG. European Journal of Neuroscience, 54(12):8256-8282.
  2. Agathos PC, Ramanoel S, Becu M, Bernardin D, Habas C and Arleo A (2021) Postural control interacts with spatial learning in older adults navigating in an ecological environment. In 19ème Congrès International de l'Association des Chercheurs en Activités Physiques et Sportives (ACAPS), Montpellier, France.
  3. Allard R, Ramanoel S, Silvestre D and Arleo A (2021) Variance-dependent neural activity in an unvoluntary averaging task. Attention, Perception, and Psychophysics, 83:1094-1105.
  4. Braham chaouche A, Rezaei M, Silvestre D, Arleo A and Allard R (2021) Functionally Assessing the Age-Related Decline in the Detection Rate of Photons by Cone Photoreceptors. Frontiers in Aging Neuroscience, 13:870.
  5. Allard R and Arleo A (2021) The false aperture problem: Global motion perception without integration of local motion signals. Psychological Review (in press).
  6. Sahel J-A, Boulanger-Scemama E, Pagot C, Arleo A, Galluppi F, Martel JN, Degli Esposti S, Delaux A, de Saint Aubert J-B, de Montleau C, Gutman E, Audo I, Duebel J, Picaud S, Dalkara D, Blouin L, M. T and Roska B (2021) Partial recovery of visual function in a blind patient after optogenetic therapy. Nature Medicine, doi:10.1038/s41591-021-01351-4.
  7. Rossi E, Eandi CM, Snyder V, Grieve K, Dansingani KK, Arleo A, Chablani J, Mrejen S, Martel J, Sahel J-A and Paques M (2021) A new method for visualizing drusen and their progression in adaptive optics ophthalmoschopy. Translation Vision Science & Technology, 10(14):19.

2020

  1. Durteste M, Ramanoel S, Bécu M, Habas C and Arleo A (2020) Age-related differences in brain regions linked to visuo-spatial processing during landmark-based navigation. In 15ème Journée Scientifique des Jeunes Chercheurs en Psychologie.
  2. Bécu M, Sheynikhovich D, Ramanoel S, Tatur G, Ozier-Lafontaine A, Sahel JA and Arleo A (2020) Modulation of spatial cue processing across the lifespan: a geometric polarization of space restores allocentric navigation strategies in children and older adults. In Interdisciplinary Navigation Symposium (iNAV).
  3. Durteste M, Ramanoel S, Bécu M, Habas C and Arleo A (2020) Age-related differences in brain regions linked to visuo-spatial processing during landmark-based navigation. In Neuromatch 3.0, vol. 3.
  4. Ramanoel S, Durteste M, Bécu M, Habas C and Arleo A (2020) Differential Brain Activity in Regions Linked to Visuospatial Processing During Landmark-Based Navigation in Young and Healthy Older Adults. Frontiers in Human Neuroscience, 14:552111.
  5. Bécu M, Sheynikhovich D, Ramanoël S, Tatur G, Ozier-Lafontaine A, Sahel J-A and Arleo A (2020) Modulation of spatial cue processing across the lifespan: a geometric polarization of space restores allocentric navigation strategies in children and older adults. bioRxiv.
  6. Bécu M, Sheynikhovich D, Tatur G, Agathos C, Bologna LL, Sahel JA and Arleo A (2020) Age-related preference for geometric spatial cues during real-world navigation. Nature Human Behaviour, 4(1):88-99.
  7. Sheynikhovich D, Carrillo R, Cherifi YI, Luque N, Bologna L-L and Arleo A (2020) Aging Human Avatar: a computational modeling platform to study neural correlates of aging. In Computational approaches for ageing and age-related diseases (CompAge), 1-2 September 2020, Paris, France.
  8. Li T, Arleo A and Sheynikhovich D (2020) A model of a panoramic visual representation in the dorsal visual pathway: the case of spatial reorientation and memory-based search. bioRxiv.
  9. Li T, Arleo A and Sheynikhovich D (2020) Modeling place cells and grid cells in multi-compartment environments: hippocampal-entorhinal loop as a multisensory integration circuit. Neural Networks, 121:37-51.
  10. Agathos CP, Ramanoel S, Bécu M, Bernardin D, Habas C and Arleo A (2020) Postural control while walking interferes with spatial learning in older adults navigating in a real Environment. Frontiers in Aging Neuroscience, 12:588653.
  11. Luque NR, Naveros F, Carrillo RR, Ros E and Arleo A (2020) A computational model of homeostatic cerebellar compensation of ageing in vestibulo-ocular reflex adaptation. bioRxiv.
  12. Naveros F, Luque NR, Ros E and Arleo A (2020) VOR adaptation on a humanoid iCub robot using a spiking cerebellar model. IEEE Trans Cybern, 50(11):4744-57.
  13. Braham chaouche A, Silvestre D, Trognon A, Arleo A and Allard R (2020) Age-related decline in motion contrast sensitivity due to lower absorption rate of cones and calculation efficiency. Scientific Reports, 10(1):16521.
  14. Rossi E, Eandi CM, Snyder V, Grieve K, Dansingani KK, Arleo A, Chablani J, Mrejen S, Martel J, Sahel J-A and Paques M (2020) A new method for visualizing drusen and their progression in adaptive optics ophthalmoschopy. In Invest. Ophthalmol. Vis. Sci., 61(7):203.
  15. Traber GL, della Volpe-Waize M, Maloca P, Schmidt-Erfurth U, Rubin G, Roska B, Cordeiro MF, Otto T, Weleber R, Lesmes LA, Arleo A and Scholl HPN (2020) New technologies for outcome measures in glaucoma: review by the European Vision Institute Special Interest Focus Group. Ophthalmic Research, 63:88-96.

2019

  1. Ramanoel S, York E, Le Petit M, Lagrené K, Habas C and Arleo A (2019) Age-related differences in functional and structural connectivity in spatial navigation brain network. Frontiers in Neural Circuits, 13:69.
  2. Ramanoel S, Durteste M, Bizeul A, Bécu M, Habas C and Arleo A (2019) Age-related differences in the neural bases of landmark versus geometric spatial cue processing. In Colloque International: Vieillissement, tours, contours et perspectives, Tours, France.
  3. Ramanoel S, Durteste M, Bizeul A, Ozier-Lafontaine A, Bécu M, Rossignol N, Habas C and Arleo A (2019) Distinct cerebral structures are involved in landmark vs. geometry based spatial navigation. In Society for Neuroscience (SfN), Chicago, USA.
  4. Li T, Arleo A and Sheynikhovich D (2019) Modeling place cells and grid cells in multi-compartment environments: hippocampal-entorhinal loop as a multisensory integration circuit. bioRxiv.
  5. Nael V, Peres K, Dartigues JF, Letenneur L, Amieva H, Arleo A, Scherlen AC, Tzourio C, Berr C, Carriere I, Delcourt C and Helmer C (2019) Vision loss and 12-year risk of dementia in older adults: the 3C cohort study. Eur. J. Epidemiol., 34:141-152.
  6. Nael V, Moreau G, Monferme S, Cougnard-Gregoire A, Scherlen AC, Arleo A, Korobelnik JF, Delcourt C and Helmer C (2019) Prevalence and Associated Factors of Uncorrected Refractive Error in Older Adults in a Population-Based Study in France. JAMA Ophthalmol, 137(1):3-11.
  7. Agathos CP, Ramanoël S, Bécu M, Baranton K, Bernardin D and Arleo A (2019) Cognitive-motor interference in older adults while navigating in an ecological environment. In International Society for Posture and Gait Research (ISPGR), Edinburgh, UK.
  8. Agathos CP, Ramanoël S, Bécu M, Baranton K, Bernardin D and Arleo A (2019) An alternative view of dual-tasking in older adults: Cognitive-motor interference while navigating in an ecological environment. Neurophysiologie Clinique, 49(6):414.
  9. Luque NR, Naveros F, Carrillo RR, Ros E and Arleo A (2019) Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation. PLoS Comput. Biol., 15(3):e1006298.
  10. Silvestre D, Arleo A and Allard R (2019) Healthy aging impairs photon absorption efficiency of cones. Invest. Ophthalmol. Vis. Sci., 60:544-551.
  11. Silvestre D, Arleo A and Allard R (2019) Considerable age-related contrast sensitivity loss due to less efficient cones. In ARVO Annual Meeting 2019, Vancouver, Canada.
  12. Lagrené K, Bécu M, Seiple W, Raphanel Bataille M, Combariza S, Paques M, Aubois A, Duclos B, Girmens J-F, Eandi C, Mohand-Said S and Arleo A (2019) Healthy and pathological visual aging in a French follow-up cohort study. Investigative Ophthalmology & Visual Science - ARVO, 60:5915.
  13. Duvelle E, Grieves RaHV, Poucet B, Arleo A, Jeffery K and Save E (2019) Insensitivity of place cells to the value of spatial goals in a two-choice flexible navigation task. Journal of Neuroscience, 39(13):2522-2541.
  14. Arleo A, Becu M, Tatur G and Sheynikhovich D (2019) Impact of healthy aging on ocular fixation stability and microsaccades during optic flow. In ARVO Annual Meeting 2019, Vancouver, Canada.

2018

  1. Bécu M, Tatur G, Sheynikhovich D, Ramanoel S, Agathos C, Ozier-Lafontaine A and Arleo A (2018) Age-related preference for geometric cues: when aging does not impair allocentric strategies. In iSCAN 2018, Magdeburg, Germany.
  2. Bécu M, Tatur G, Sheynikhovich D, Ramanoel S, Agathos C and Arleo A (2018) Age-related preference for geometric cues during real-world navigation: behavioral and neuroimaging correlates. In Interdisciplinary Navigation Symposium (iNav), Mont-Tremblant, Canada.
  3. Bécu M, Tatur G, Sheynikhovich D, Agathos C, Bologna LL and Arleo A (2018) Age-related preference for geometric cues during real-world navigation. In Forum of Neuroscience (FENS), Berlin, Germany, pages 345.
  4. Bécu M, Tatur G, Sheynikhovich D, Ramanoel S, Agathos C and Arleo A (2018) Age-related preference for geometric cues during real-world navigation: behavioral and neuroimaging correlates. In Spatial Cognition 2018, Tübingen, Germany.
  5. Raphanel M, Shaughness G, H. Seiple W and Arleo A (2018) Current practice in low vision rehabilitation of age-related macular degeneration and usefulness of virtual reality as a rehabilitation tool. Journal of Aging Science, 6(2):194.
  6. Huth J, Masquelier T and Arleo A (2018) Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing. Frontiers in Neuroinformatics, 12:9.
  7. Huth J, Masquelier T and Arleo A (2018) What has Deep Learning ever done for us? Simulating the Visual System with convis. In 11th FENS Forum 2018.
  8. Sheynikhovich D, Bécu M, Wu C and Arleo A (2018) Unsupervised detection of microsaccades in high-noise regime. Journal of Vision, 18(6):1-16.
  9. Li T, Arleo A and Sheynikhovich D (2018) Bidirectional interactions between place-cells and grid-cells in the vision- and self-motion driven spatial representation model. In Spatial Cognition 2018, Tübingen, Germany, Berlin, Germany.
  10. Li T, Arleo A and Sheynikhovich D (2018) Bidirectional interactions between place-cells and grid-cells in the vision- and self-motion driven spatial representation model. In 11th FENS Forum of Neuroscience, Berlin, Germany.
  11. Li T, Arleo A and Sheynikhovich D (2018) Vision-based model of primate spatial cognition: coordinate transformations, limited visual field and reorientation. In 2nd Interdisciplinary Navigation Symposium, iNAV 2018, Quartier Tremblant, Canada.
  12. Nael V, Scherlen AC, Arleo A and Helmer C (2018) Impact of sensory impairment on cognition and autonomy in older adults. In French Society of Ophthalmology, Paris, France.
  13. Nael V, Monfermé S, Moreau G, Cougnard-Grégoire A, Scherlen A-C, Arleo A, Korobelnik JF, Delcourt C and Helmer C (2018) Uncorrected refractive errors in older adults: prevalence according to the presence of age-related eye disease. In ARVO 2017, Baltimora, USA.
  14. Nael V, Moreau G, Pérès K, Arleo A, Scherlen A-C, Dartigues J-F, Tzourio C, Berr C, Delcourt C and Helmer C (2018) Visual loss and cognitive decline in older adults: resuls from a French population-based cohort study. In Alzheimer Association International Conference, Chicago, USA.
  15. Luque NR, Naveros F, Carrillo RR, Ros E and Arleo A (2018) Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation. bioRxiv:347252.
  16. Naveros F, Garrido JA, Arleo A, Ros E and Luque NR (2018) Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1-9.
  17. Tartaglia EM, Boucly C, Tatur G and Arleo A (2018) Eye-movements as a signature of age-related differences in global planning strategies for spatial navigation. bioRxiv.
  18. Boucly C, Tatur G, Arleo A and Tartaglia EM (2018) Eye-movements as a signature of age-related differences in global planning strategies for spatial navigation. In GDR ISIS 2018, Paris.
  19. Silvestre D, Arleo A and Allard R (2018) Absorption efficiency of cones is considerably affected with heathy aging. In ECVP.
  20. Silvestre D, Arleo A and Allard R (2018) Internal noise sources limiting contrast sensitivity. Scientific Reports, 8(1):2596.
  21. Brasselet R and Arleo A (2018) Category structure and categorical perception jointly explained by similarity-based information theory. Entropy, 20(7):527.

2017

  1. Ramanoel S, York E, Lagrené K, Habas C and Arleo A (2017) Age-related changes in fuctional connectivity on scene processing and spatial navigation networks. In Neuroscience Workshop Saclay: Neural Circuit and Behavior.
  2. Ramanoel S*, Bécu M*, Tatur G, Lagrené K, Habas C and Arleo A (2017) Age-related changes in spatial learning of a real environment and gray-matter integrety. In Neuroscience Workshop Saclay: Neural Circuit and Behavior (* shared st authorship).
  3. Bécu M, Tatur G, Bourefis A, Sheynikhovich D and Arleo A (2017) Age-related changes in gaze dynamics during real-world navigation. In Poster session presented at European Conference on Eye Movements, Wuppertal, Germany.
  4. Bécu M, Tatur G, DeDieuleveult A, Wu C, Marchesotti S, Sheynikhovich D and Arleo A (2017) Effect of aging on ocular fixation and microsaccades during optic flow. In Poster session presented at European Conference on Eye Movements, Wuppertal, Germany.
  5. Bécu M, Tatur G, Bourefis A, Bologna LL, Sheynikhovich D and Arleo A (2017) Age-related changes in gaze dynamics during real-world navigation. In Journal of Vision, vol. 17(10), pages 540.
  6. Huth J, Masquelier T and Arleo A (2017) The convis toolbox: Population Simulation of the Visual System with Automatic Differentiation using Theano. In CNS.
  7. Huth J, Masquelier T and Arleo A (2017) The convis toolbox: Population Simulation of the Visual System with Automatic Differentiation using Theano. In Bernstein Conference.
  8. Huth J, Mayer E, Masquelier T and Arleo A (2017) Effects of Noise on Contrast Gain Control. In European Retina Meeting.
  9. Huth J, Masquelier T and Arleo A (2017) Convis: A Toolbox To Fit and Simulate Filter-based Models of Early Visual Processing. bioRxiv:169284.
  10. Li T, Arleo A and Sheynikhovich D (2017) Coordinate-transformation spiking neural network for spatial navigation. In HBP 2017: Collaborative and Integrative Modeling of Hippocampus, Paris, France.
  11. Li T, Arleo A and Sheynikhovich D (2017) Coordinate-transformation spiking neural network for spatial navigation. In 3e Symposium des Neurosciences Computationnelles de l'UPMC, Paris, France.
  12. Li T, Arleo A and Sheynikhovich D (2017) Coordinate-transformation spiking neural network for spatial navigation. In 26th Annual Computational Neuroscience Meeting (CNS2017), vol. 18 (Suppl), pages P239, BMC Neuroscience 18 (Suppl).
  13. Nael V, Peres K, Carriere I, Daien V, Scherlen AC, Arleo A, Korobelnik JF, Delcourt C and Helmer C (2017) Visual Impairment, Undercorrected Refractive Errors, and Activity Limitations in Older Adults: Findings From the Three-City Alienor Study. Invest. Ophthalmol. Vis. Sci., 58(4):2359-2365.
  14. Nael V, Pérès K, Dartigues JF, Arleo A, Scherlen AC, Tzourio C, Berr C, Delcourt C and Helmer C (2017) Visual loss and 12 years risk of dementia in older adults:a french population-based cohort study. In Alzheimer’s and Parkinson’s Diseases 2017, Vienna, Austria.
  15. Nael V, Monfermé S, Moreau G, Cougnard-Grégoire A, Scherlen AC, Arleo A, Korobelnik JF, Delcourt C and Helmer C (2017) Uncorrected refractive errors in older adults: prevalence according to the presence of age-related eye disease. In Association for Research in Vision and Ophtalmology 2017, Baltimore, Md, US.
  16. Luque N, Naveros F, Carrillo R, Ros E and Arleo A (2017) Silent and bursting states of Purkinje cell activity modulate VOR adaptation. In CNS 2017, Antwerp, Belgium.
  17. Allard R and Arleo A (2017) Factorizing the motion sensitivity function into equivalent input noise and calculation efficiency. Journal of Vision, 17(1):17.
  18. Allard R and Arleo A (2017) Reducing luminance intensity can improve motion perception in noise. Scientific Reports, 7:43140.
  19. Allard R and Arleo A (2017) Photopic motion sensitivity at high temporal frequencies is limited by the dark light of the eye, not quantal noise. In Vision Sciences Society.
  20. Silvestre D, Cavanagh P, Arleo A and Allard R (2017) Adding temporally localized noise can enhance the contribution of target knowledge on contrast detection. Journal of Vision, 17:1-10.
  21. Silvestre D, Arleo A and Allard R (2017) Spatiotemporal maps of quantal noise, dark light and late neural noise limiting contrast sensitivity. In Vision Sciences Society.
  22. Lagrené K and Arleo A (2017) Vieillissement naturel des fonctions visuelles. In Robert, P-Y., editors, Rapport Société Francaise d'Ophtalmologie 2017 - Déficiences Visuelles, chpt. 3, pages 41-45, Elsevier.
  23. Arleo A, Becu M, Tatur G, DeDieuleveult A, Wu C, Marchesotti S and Sheynikhovich D (2017) Effect of aging on ocular fixation and microsaccades during optic flow. In Journal of vision, vol. 17(10), pages 890.

2016

  1. Huth J, Masquelier T, Allard R and Arleo A (2016) Modeling the Visual System with respect to Aging. In IK Interdisciplinary College.
  2. Huth J, Masquelier T, Allard R and Arleo A (2016) Using Equivalent Internal Noise as a Constraint on Vision Models. In Bernstein Conference.
  3. Jules Étienne C, Arleo A and Allard R (2016) Maximizing noise energy for noise-masking studies. Behavior Research Methods:1-13.
  4. Allard R and Arleo A (2016) Perception of global object motion without integration of local motion signals. In European Conference on Visual Perception.
  5. Allard R and Arleo A (2016) Position-based vs energy-based motion processing. In Vision Sciences Society meeting, St. Pete Beach, Florida, USA.
  6. Silvestre D, Arleo A and Allard R (2016) Contrast sensitivity: Measuring late internal noise across spatial frequencies. In Vision Sciences Society meeting, St. Pete Beach, Florida, USA.
  7. Arleo A (2016) Vieillissement naturel, vision et cognition. In CNRS, editors, Ecole Th'matique Interdisciplinaire CNRS 2016, pages 141-149.
  8. Logiaco L, Quilodra R, Procyk E and Arleo A (2016) Evidence for temporally sensitive and non-linear processing of spiking signals for behavioral update. In Computational and Systems Neuroscience (COSYNE).

2015

  1. Allard R and Arleo A (2015) The temporal efficiency function of the energy-based and feature tracking motion systems. In Vision Sciences Society meeting, St. Pete Beach, Florida, USA.
  2. Logiaco L, Deger M, Schwalger T, Arleo A and Gerstner W (2015) A dynamic non-linear mean field method for networks of adapting neurons in the asynchronous state. In Beyond Mean Field Workshop, Gottingen, Germany.
  3. Logiaco L, Quilodran R, Procyk E and Arleo A (2015) Spatiotemporal spike coding of behavioral adaptation in the dorsal anterior cingulate cortex. PLoS Biology, 13(8):e1002222.
  4. Jehenne B, Raspopovic S, Capogrosso M, Arleo A and Micera S (2015) Recording properties of an electrode implanted in the peripheral nervous system: a human computational model. In IEEE EMBS Neural Engineering Conference (NER'15).

2014

  1. Logiaco L, Deger M, Schwalger T, Arleo A and Gerstner W (2014) Towards the control of bistable attractors by temporally modulated inputs. In Bernstein Conference, Gottingen, Germany.

2013

  1. Sheynikhovich D, Otani S and Arleo A (2013) Dopaminergic control of LTD/LTP threshold in prefrontal cortex. Journal of Neuroscience, 33(34):13914-26.
  2. Bengtsson F, Brasselet R, Johansson RS, Arleo A and Jörntell H (2013) Integration of sensory quanta in cuneate nucleus neurons in vivo. PloS One, 8(2):e56630.
  3. Passot J-B, Luque NR and Arleo A (2013) Coupling internal cerebellar models enhances online adaptation and supports offline consolidation in sensorimotor tasks. Frontiers in Computational Neuroscience, 7:95.
  4. Arleo A, Déjean C, Allegraud P, Khamassi M, Zugaro MB and Wiener SI (2013) Optic flow stimuli update anterodorsal thalamus head direction neuronal activity in rats. Journal of Neuroscience, 33(42):16790-5.
  5. Bologna LL*, Pinoteau J*, Passot J-B, Garrido JA, Vogel J, Ros Vidal E and Arleo A (2013) A closed-loop neurobotic system for fine touch sensing. Journal of Neural Engineering, 10(4):046019.
  6. Duvelle E, Hok V, Poucet B, Arleo A and Save E (2013) Goal-related firing and the representation of goal value in hippocampal place cells. In French Society for Neuroscience Meeting, Lyon, France.
  7. Logiaco L, Quilodran R, Gerstner W, Procyk E and Arleo A (2013) Modulation of a decision-making process by spatiotemporal spike patterns decoding. In 22th Computational Neuroscience Meeting, Paris, France.
  8. Jarlier F, Arleo A, Petit GH, Lefort JM, Fouquet C, Burguière E and Rondi-Reig L (2013) A Navigation Analysis Tool (NAT) to assess spatial behavior in open-field and structured mazes. Journal of Neuroscience Methods, 215(2):196-209.

2012

  1. Sheynikhovich D, Otani S and Arleo A (2012) The role of dopamine in LTP/LTD threshold modulation in the prefrontal cortex. In 8th FENS Forum of Neuroscience, Barcelona,Spain.
  2. Sheynikhovich D, Grèzes F, King J-R and Arleo A (2012) Exploratory behaviour depends on multisensory integration during spatial learning. In LNCS - Artificial Neural Networks and Machine Learning, vol. 7552, pages 296-303, Springer.
  3. Logiaco L, Quilodran R, Rothé M, Procyk E and Arleo A (2012) The spatiotemporal structure of anterior cingulate cortex activity contributes to behavioural adaptation coding. In 8th FENS Forum of Neuroscience, Barcelona,Spain.
  4. Pinoteau J*, Bologna LL*, Garrido J and Arleo A (2012) A Closed-loop neurorobotic system for investigating Braille-reading finger kinematics. In Isokoski, P. and Springare, J., editors, LNCS - Haptics: Perception, Devices, Mobility, and Communication, vol. 7282, pages 407-418, Springer.
  5. Bologna LL*, Pinoteau J*, Garrido J and Arleo A (2012) Active tactile sensing in a neurorobotic Braille-reading system. In Proceedings of the 4th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2012), pages 1925-1930, Rome, Italy.
  6. Passot J-B, Sheynikhovich D, Duvelle E and Arleo A (2012) Contribution of cerebellar sensorimotor adaptation to hippocampal spatial memory. PLoS ONE, 7(4):e32560.

2011

  1. Sheynikhovich D, Otani S and Arleo A (2011) The role of phasic and tonic dopamine for long-term plasticity in the rat prefrontal cortex: a computational model. In Proceedings of the 10th French Society for Neuroscience Meeting, Marseille, France.
  2. Sheynikhovich D, Otani S and Arleo A (2011) The role of tonic and phasic dopamine for long-term synaptic plasticity in the prefrontal cortex: a computational model. Journal of Physiology P, 105 (1-3):45-52.
  3. Brasselet R, Johansson RS and Arleo A (2011) Quantifying neurotransmission reliability through metrics-based information analysis. Neural Computation, 23(4):852-881.
  4. Bologna LL, Pinoteau J, Brasselet R, Maggiali M and Arleo A (2011) Encoding/decoding of first and second order tactile afferents in a neurorobotic application. Journal of Physiology P, 105 (1-3):25-35.
  5. Martinet LE, Sheynikhovich D, Benchenane K and Arleo A (2011) Spatial learning and action planning in a prefrontal cortical network model. In Proceedings of the 10th French Society for Neuroscience Meeting, Marseille, France.
  6. Passot JB, Sheynikhovich D, Rondi-Reig L and Arleo A (2011) A neurocomputational study of the role of the cerebellum in spatial cognition. In Proceedings of the 10th French Society for Neuroscience Meeting, Marseille, France.
  7. Arleo A, Brasselet R, Bologna LL, Pinoteau J, Jörntell H and Johansson RS (2011) Neural coding in the early stages of the somatosensory pathway: a metrical information theory analysis of human microneurography data. In Proceedings of the 10th French Society for Neuroscience Meeting, Marseille, France.
  8. Martinet L-E, Sheynikhovich D, Benchenane K and Arleo A (2011) Spatial Learning and Action Planning in a Prefrontal Cortical Network Model. PLoS Comput Biol, 7(5):e1002045.
  9. Brasselet R, Johansson RS and Arleo A (2011) Isometric coding of spiking haptic signals by peripheral somatosensory neurons. In Cabestany, J. et al., editors, LNCS - Advances on Computational Intelligence, vol. 6691, pages 528-536, Springer.

2010

  1. Sheynikhovich D, Dolle L, Chavarriga R and Arleo A (2010) Minimal model of strategy switching in the plus-maze navigation task. In Doncieux, S. et al., editors, LNAI - Simulation of Adaptive Behavior, vol. 6226, pages 390-401, Springer-Verlag.
  2. Sheynikhovich D, Otani S and Arleo A (2010) The role of dopamine in long-term plasticity in the rat prefrontal cortex: a computational model. In Frontiers in Systems Neuroscience, Conference Abstract: Computational and Systems Neuroscience (Cosyne).
  3. Sheynikhovich D, Otani S and Arleo A (2010) The role of dopamine in long-term plasticity in the rat prefrontal cortex: a computational model. In FENS Abstracts, vol. 5.
  4. Sheynikhovich D and Arleo A (2010) A reinforcement learning approach to model interactions between landmarks and geometric cues during spatial learning. Brain Research, 1365:35-47.
  5. Sheynikhovich D, Otani S and Arleo A (2010) A modeling study of the role of tonic vs. phasic dopamine input to the prefrontal cortex. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 77-81.
  6. Passot J-B, Luque N and Arleo A (2010) Internal models in the cerebellum: a coupling scheme for online and offline learning in procedural tasks. In From Animals to Animats 11, pages 435-446, Springer Berlin Heidelberg.
  7. Brasselet R, Johansson RS and Arleo A (2010) Quantifying neurotransmission through an entropy measure embedding spike train metrics. In Workshop on Shapes of Brain Dynamics, Paris, France.
  8. Brasselet R, Johansson RS and Arleo A (2010) Quantifying neurotransmission through an entropy measure embedding spike train metrics. In Workshop on Dendrites, Neurones and Networks, Warwick, UK.
  9. Brasselet R and Arleo A (2010) Local metrical information: application to the perceptual magnet effect. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 132-136.
  10. Bologna LL, Brasselet R, Maggiali M and Arleo A (2010) Effective encoding/decoding of spiking signals from an artificial touch sensor. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 120-125.
  11. Martinet L-E and Arleo A (2010) A model of prefrontal columnar organisation for multiscale spatial planning. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 167-172.
  12. Passot J-B and Arleo A (2010) A new coupling scheme of cerebellar internal models: online and offline adaptation in procedural tasks. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 95-99.
  13. Arleo A, Nieus T, Bezzi M, D'Errico A, D'Angelo E and Coenen OJM (2010) How synaptic release probability shapes neuronal transmission: Information theoretic analysis in a cerebellar granule cell. Neural Computation, 22(8):2031-2058.
  14. Arleo A and Rondi-Reig L (2010) Multimodal sensory integration and concurrent navigation strategies for spatial cognition in real and artificial organisms. In Dolins, F. and Mitchell, R., editors, Spatial Perception, Spatial Cognition, chpt. 11, pages 281-320, Cambridge University Press.
  15. Martinet L-E, Sheynikhovich D, Benchenane K and Arleo A (2010) Integrating a hippocampal and a cortical model for spatial navigation planning. In 14th International Conference on Cognitive and Neural Systems (ICCNS'10), Boston, USA.
  16. Martinet L-E and Arleo A (2010) A cortical column model for multiscale spatial planning. In Doncieux, S. et al., editors, LNAI - Simulation of Adaptive Behavior, vol. 6226, pages 347-358, Springer-Verlag.
  17. Passot J-B, Luque N and Arleo A (2010) Internal models in the cerebellum: a coupling scheme for online and offline learning in procedural tasks. In Doncieux, S. et al., editors, LNAI - Simulation of Adaptive Behavior, vol. 6226, pages 435-446, Springer-Verlag.
  18. Bologna LL, Brasselet R, Maggiali M and Arleo A (2010) Neuromimetic encoding/decoding of spatiotemporal spiking from an artificial touch sensor. In Proceedings of the International Joint Conference on Neural Networks (IJCNN) (in press).
  19. Brasselet R, Johansson RS and Arleo A (2010) Quantifying neurotransmission by taking into account the metrical properties of spike trains. In SIMAI - Symposium on new trends in scientific computing: computational Biology, Abs. N. 628, Cagliari, Italy.
  20. Brasselet R, Johansson RS and Arleo A (2010) Quantifying neurotransmission through an entropy measure embedding spike train metrics. In Workshop on Spike Train Measures and Their Applications to Neural Coding, Plymouth, UK.

2009

  1. Sheynikhovich D, Chavarriaga R, Strösslin T, Arleo A and Gerstner W (2009) Is There a Geometric Module for Spatial Orientation?: Insights From a Rodent Navigation Model. In Proceedings of the 4th Computational Cognitive Neuroscience Conf, Boston, USA.
  2. Sheynikhovich D, Otani S and Arleo A (2009) Role of dopamine for long-term plasticity in the rat prefrontal cortex: a computational model. In Renaud, S. and Saighi, S., editors, Proceedings of the Fourth french conference on computational neuroscience (Neurocomp), vol. 4, pages 30.
  3. Sheynikhovich D, Chavarriaga R, Strösslin T, Arleo A and Gerstner W (2009) Is there a geometric module for spatial orientation? Insights from a rodent navigation model. Psychological Review, 116(3):540-566.
  4. Brasselet R, Johansson R and Arleo A (2009) Optimal context separation of spiking haptic signals by second-order somatosensory neurons. Advances in Neural Information Processing Systems, 22.
  5. Martinet L-E, Sheynikhovich D, Benchenane K and Arleo A (2009) Integrating a hippocampal and a cortical model for spatial navigation planning. In Fourth Computational Cognitive Neuroscience Conference (CCNC'09), Boston, USA.
  6. Martinet L-E, Sheynikhovich D and Arleo A (2009) A cortical column model for studying spatial navigation planning. In Proceedings of the Fourth french conference on computational neuroscience (Neurocomp), vol. 4, pages 24, Bordeaux, France.
  7. Martinet L-E, Sheynikhovich D, Meyer J-A and Arleo A (2009) Multimodal encoding in a cortical model for spatial navigation planning. In BMC Neuroscience - Eighteenth Annual Computational Neuroscience Meeting, vol. 10 (Suppl1), pages 338, Berlin, Germany.
  8. Passot J-B, Rondi-Reig L and Arleo A (2009) Cerebellum and spatial cognition: a connectionist approach. In Verleysen, M., editors, Proceedings of the European Symposium on Artificial Neural Network: Advances in Computational Intelligence and Learning, vol. 17, pages 287-292.
  9. Passot J-B, Arabo A, Sheynikhovich D, Rondi-Reig L and Arleo A (2009) Studying the role of the cerebellum in spatial cognition through a neurocomputational approach. In Renaud, S. and Saighi, S., editors, Proceedings of the Fourth french conference on computational neuroscience (Neurocomp), vol. 4, pages 26.
  10. Passot J-B, Rondi-Reig L and Arleo A (2009) Modeling cerebellar learning for spatial cognition. In BMC Neuroscience - Eighteenth Annual Computational Neuroscience Meeting, vol. 10 (Suppl1), pages 141.
  11. Bologna LL, Maggiali M, Sandini G and Arleo A (2009) Encoding/Decoding of spatiotemporal signals from an artificial touch sensor. In Proceedings of the Humanoids Conference, Paris, France.
  12. Brasselet R, Johansson RS and Arleo A (2009) Optimal context separation of spiking haptic signals by second-order somatosensory neurons. In Bengio, Y. et al., editors, Advances in Neural Information Processing Systems 22, vol. 22, pages 180-188.
  13. Brasselet R, Johansson RS and Arleo A (2009) Fast encoding/decoding of haptic microneurography data based on first spike latencies. In Renaud, S. and Saighi, S., editors, Proceedings of the Fourth french conference on computational neuroscience (Neurocomp), vol. 4, pages 5.
  14. Brasselet B, Johansson RS, Coenen OJ-MD and Arleo A (2009) Fast encoding/decoding of haptic microneurography data based on first spike latencies. In BMC Neuroscience - Eighteenth Annual Computational Neuroscience Meeting, vol. 10 (Suppl1), pages 349.
  15. Brasselet R, Johansson RS and Arleo A (2009) Fast encoding/decoding of haptic microneurography data based on first-spike latency. In Proceedings of the Humanoids Conference, Paris, France.
  16. Martinet L-E, Sheynikhovich D, Meyer J-A and Arleo A (2009) A cortical model for spatial navigation planning. In Journées Francophones Planification Décision Apprentissage (JFPDA 2009), Paris, France.
  17. Martinet L-E, Sheynikhovich D, Meyer J-A and Arleo A (2009) Multimodal encoding in a cortical model for spatial navigation planning. In Colloque des Jeunes Chercheurs en Sciences Cognitives (CJCSC'09), Toulouse, France.

2008

  1. Martinet L-E, Fouque B, Passot J-B, Meyer JA and Arleo A (2008) Modelling the cortical columnar organisation for topological state-space representation, and action planning. In Asada, M. et al., editors, LNAI – Simulation of Adaptive Behavior, vol. 5040, pages 137-147, Springer-Verlag.
  2. Martinet L-E, Passot J-B, Fouque B, Meyer JA and Arleo A (2008) Map-Based Spatial Navigation: A Cortical Column Model for Action Planning. In Freksa, C. et al., editors, LNAI - Spatial Cognition, vol. 5248, pages 39-55, Springer-Verlag.
  3. David FO, Arleo A, Leresche N and Lambert RC (2008) Dynamical effects of the T-current potentiation upon the oscillatory activity of thalamocortical neurons associated to sleep: a predictive model. In Proceedings of the Workshop on Mathematical Neuroscience, Edinburgh, UK.
  4. David FO, Arleo A, Leresche N and Lambert RC (2008) Dynamical effects of the T-current potentiation upon the oscillatory activity of thalamocortical neurons associated to sleep: a predictive model. In FENS Abstracts, vol. 4: 047.8.

2007

  1. Arleo A and Rondi-Reig L (2007) Multimodal sensory integration and concurrent navigation strategies for spatial cognition in real and artificial organisms. Journal of Integrative Neuroscience, 6(3):327-366.
  2. Arleo A and Chavarriaga R (2007) (editors). Special Issue on Multisensory integration and parallel memory systems for spatial cognition. Journal of Integrative Neuroscience, 6(3).
  3. Bezzi M, Arleo A, Nieus T, D'Errico A, D'Angelo E and Coenen OJ-M (2007) Information theoretic quantification of neural transmission following changes in release probability. In Computational and Systems Neuroscience (Cosyne) 2007, pages 284.

2006

  1. Bezzi M, Nieus T, Arleo A, D'Errico A, D'Angelo E and Coenen OJ-M (2006) Quantitative characterization of information transmission in a single neuron. In Ijspeert, A. J. et al., editors, Proceedings of the EPFL-Latsis Symposium on Dynamical principles for neuroscience and intelligent biomimetic devices, Switzerland.
  2. Bezzi M, Arleo A, Coenen OJ-M, Nieus T and D'Angelo E (2006) Quantitative characterization of information transmission in a single neuron. In Alexandre, F. et al., editors, Proceedings of Neurocomp Conference, vol. 1, pages 134-136.

2005

  1. Arleo A, Battaglia F, Déjean C, Zugaro MB and Wiener SI (2005) Rat anterodorsal thalamic head direction neurons are modulated by hippocampal theta rhythm. In Society for Neuroscience Abstracts, No. 198.18, Washington DC, USA.
  2. Arleo A (2005) Thesis of Habilitation to Direct Research: The neural bases of spatial cognition and information processing in the brain. Life Science Dept, University Pierre and Marie Curie Paris, France.
  3. Arleo A and Gerstner W (2005) Head direction cells and place cells in models for navigation and robotic applications. In Wiener, S. I. and Taube, J. S., editors, Head direction cells and the neural mechanisms of spatial orientation, chpt. 19, pages 433-457, MIT Press.
  4. Bezzi M, Arleo A and Coenen OJ-MD (2005) Exploring the neural code by information theory. In Aquilano, D. et al., editors, Proceedings of the NeuroMat Workshop, pages 183-189, Milan, Italy.
  5. Bezzi M, Nieus T, Arleo A, D'Angelo E and Coenen OJ-M (2005) Reti neuronali impulsive per il controllo di robot: il progetto SpikeForce. In Atti del Convegno Nazionale ANIPLA-BIOSYS 2005, pages 226-235, Milan, Italy.
  6. Rondi-Reig L, Petit G, Arleo A and Burguiere E (2005) The starmaze: a new paradigm to characterize multiple spatial navigation strategies. In Measuring Behavior, 5th Int Conf on Methods and Techniques in Behavioral Research, pages 386-390, Wageningen.
  7. D'Angelo E, Nieus T, Bezzi M, Arleo A and Coenen OJM (2005) Modeling synaptic transmission and quantifying information transfer in the granular layer of the cerebellum. In Cabestany, J. et al., editors, LNCS - Computational Intelligence and Bioinspired Systems, vol. 3512, pages 107-114.
  8. d'Erfurth A, Peyrache A, Guillot A and Arleo A (2005) Un modèle computationnel biomimétique de navigation pour le robot-rat Psikharpax. In Guéré, E., editors, Proceedings of the National Conference RJCIA, pages 327-330, resses Universitaires Grenoble.
  9. Coenen OJM, Bezzi M, Arleo A, Nieus T, D'Errico A and D'Angelo E (2005) Quantitative characterization of information transmission in a single neuron. In Society for Neuroscience Abstracts, vol. No. 823.3, Washington DC, USA.
  10. Boucheny C, Brunel N and Arleo A (2005) A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system. Journal of Computational Neuroscience, 18(2):205-227.
  11. Burguière E, Arleo A, Hojjati M, Elgersma Y, De Zeeuw CI, Berthoz A and Rondi-Reig L (2005) Spatial navigation impairment in mice lacking cerebellar LTD: a motor adaptation deficit?. Nature Neuroscience, 8(10):1292-1294.

2004

  1. O.J.M. Coenen CBMBDMMPAERRCEMORABBAATNED (2004) Adaptive spiking cerebellar models and real-time simulations. In 34th Society for Neuroscience annual meeting (2004), San Diego, USA.
  2. Arleo A, Smeraldi F and Gerstner W (2004) Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning. IEEE Transactions on Neural Networks, 15(3):639-652.
  3. Wiener SI, Arleo A, Déjean C, Boucheny C, Khamassi M and Zugaro MB (2004) Optic field flow signals update the activity of head direction cells in the rat anterodorsal thalamus. In FENS Abstracts, vol. 2: A007.19, Lisbon, Portugal.
  4. Arleo A, Boucheny C, Degris T, Brunel N and Wiener SI (2004) Head direction cells and spatial orientation in rats: Experimental findings and computational modeling. In Proceedings of the Workshop on Neurorobotic Models in Neuroscience and Neuroinformatics, Los Angeles, USA.
  5. Arleo A, Déjean C, Boucheny C, Khamassi M, Zugaro MB and Wiener SI (2004) Optic field flow signals update the activity of head direction cells in the rat anterodorsal thalamus. In Proceedings of the XXIII Int Congress of the Barany Society, Paris, France.
  6. Arleo A, Degris T, Boucheny C and Wiener SI (2004) The neural basis of spatial orientation in rats: Electrophysiology, computational modeling, and robotics. In Meyer, J.-A. and Guillot, A., editors, Proceedings of the Int. Conference Towards Artificial Rodents, Paris, France.
  7. Zugaro MB, Arleo A, Déjean C, Burguière E, Khamassi M and Wiener SI (2004) Rat anterodorsal thalamic head direction neurons depend upon dynamic visual signals to select anchoring landmark cues. European Journal of Neuroscience, 20(2):530-536.
  8. Degris T, Lachèze L, Boucheny C and Arleo A (2004) A spiking neuron model of head-direction cells for robot orientation. In Schaal, S. et al., editors, Proceedings of the Eighth International Conference on Simulation of Adaptive Behavior, From Animals to Animats, vol. 8, pages 255-263, MIT Press.
  9. Degris T, Sigaud O, Wiener SI and Arleo A (2004) Rapid response of head direction cells to reorienting visual cues: A computational model. Neurocomputing, 58-60C:675-682.
  10. Burguière E, Rutteman M, Arleo A, Wiener SI, Zeeuw CIDe, Berthoz A and Rondi-Reig L (2004) Deficit during spatial navigation in L7-PKCI mice lacking cerebellar Long-Term Depression: a motor learning problem?. In FENS Abstracts, vol. 2, A042.5, Lisbon, Portugal.
  11. Coenen OJ-M, Boucheny C, Bezzi M, Marchal D, Arnold MP, Ros E, Carillo ROEM, Gis R, Barbour B, Arleo A, Nieus T and D'Angelo E (2004) Adaptive spiking cerebellar models and real-time simulations. In Society for Neuroscience Abstracts, No. 827.4, San Diego, USA.
  12. Bezzi M, Nieus T, Arleo A, D'Angelo E and Coenen OJ-M (2004) Information transfer at the mossy fiber-granule cell synapse of the cerebellum. In Society for Neuroscience Abstracts, No. 827.5, San Diego, USA.
  13. Wiener SI and Arleo A (2004) Neurobiologically based proposals for structuring navigation strategies for autonomous agents. In Meyer, J.-A. and Guillot, A., editors, Proceedings of the Int Conference Towards Artificial Rodents, Paris, France.
  14. Wiener SI, Arleo A, Déjean C, Boucheny C, Khamassi M and Zugaro MB (2004) Optic field flow signals update the activity of head direction cells in the rat anterodorsal thalamus. In Society for Neuroscience Abstracts, No. 209.2, San Diego, USA.

2003

  1. Zugaro MB, Arleo A, Berthoz A and Wiener SI (2003) Rapid spatial reorientation and head direction cells. Journal of Neuroscience, 23(8):3478-3482.
  2. Wiener SI and Arleo A (2003) Persistent activity in limbic system neurons: neurophysiological and modeling perspectives. Journal of Physiology P, 97(4-6):547-555.
  3. Déjean C, Zugaro MB, Arleo A and Wiener SI (2003) La parallaxe de mouvement décide quels repères visuels mettent à jour les cellules de direction de la tête chez le rat. In Proceedings of 6th French Society for Neuroscience Meeting, Rouen, France.
  4. Degris T, Brunel N and Arleo A (2003) Rapid response of head direction cells to reorienting visual cues: A computational model. In De Schutter, E., editors, Proceedings of the Computational Neuroscience Meeting, Elsevier.
  5. Arleo A (2003) Hippocampal place cells and head direction cells: Computational Modeling and Electrophysiological Experiments. In Buelthoff, H. H. et al., editors, Proceedings of the 6th Perception Conference, pages 40-41, Knirsch Verlag Germany.
  6. Zugaro MB, Arleo A, Déjean C and Wiener SI (2003) Dynamic visual signals are crucial for the selection of anchoring distal cues by anterodorsal thalamic head direction cells. In Society for Neuroscience Abstracts, No. 519.16, New Orleans, USA.

2002

  1. Strösslin T, Krebser C, Arleo A and Gerstner W (2002) Combining Multimodal Sensory Input for Spatial Learning. In Dorronsoro, J. R., editors, LNCS - Artificial Neural Networks, vol. 2415, pages 87-92, Springer.
  2. Arleo A (2002) Processing multimodal sensory information for spatial learning and navigation: Computational modeling, robotics, and rat experiments. In Prescott, T. and Webb, B., editors, Proceedings of the Workshop on Robotics and Theoretical Biology, pages 9, Edinburgh, U.K..
  3. Zugaro MB, Arleo A, Berthoz A and Wiener SI (2002) Rapid reorientation in rat anterodorsal thalamic head direction cells. In Society for Neuroscience Abstracts, No. 584.7, Orlando, USA.
  4. Arleo A and Gerstner W (2002) A model of rat spatial learning system: studying the interrelation between idiothetic and allothetic cues. In FENS Abstracts, vol. 1: A075.6.
  5. Zugaro MB, Arleo A, Berthoz A and Wiener SI (2002) Rapid reorientation in rat anterodorsal thalamic head direction cells. In FENS Abstracts, vol. 1: A041.37.

2001

  1. Arleo A and Gerstner W (2001) Spatial orientation in navigating agents: modeling head-direction cells. Neurocomputing, 38-40(1-4):1059-1065.
  2. Arleo A, Smeraldi F, Hug S and Gerstner W (2001) Place Cells and Spatial Navigation based on 2D Feature Extraction, Path Integration, and Reinforcement Learning. In Leen, T. K. et al., editors, Advances in Neural Information Processing Systems, vol. 13, pages 89-95, MIT Press.
  3. Arleo A and Gerstner W (2001) Hippocampal spatial model for state space representation in robotic reinforcement learning. In Wiering, M. A., editors, Proceedings of the Fifth European Workshop on Reinforcement Learning, pages 1-3, CKI, Utrecht University.
  4. Arleo A and Gerstner W (2001) Spatial Memory and Cognitive Navigation, The Role of the Rat Hippocampus. In Apfelbach, R. et al., editors, Advances in Ethology 36, Supplements to Ethology, pages 56-57, Blackwell-Verlag.

2000

  1. Arleo A and Gerstner W (2000) Modeling rodent head-direction cells and place cells for spatial learning in bio-mimetic robotics. In Meyer, J.-A. et al., editors, Proceedings of the 6th Int Conf on Simulation of Adaptive Behavior, from Animals to Animats, pages 236-245, MIT Press, Cambridge MA.
  2. Arleo A and Gerstner W (2000) Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity. Biological Cybernetics, 83(3):287-299.
  3. Arleo A (2000) Spatial learning and navigation in neuromimetic systems, modeling the rat hippocampus. ISBN 3-89825-247-7, Verlag-dissertation.

1999

  1. Arleo A and Gerstner W (1999) Neuro-mimetic navigation systems: A computational model of the rat Hippocampus. In Drogoul, A. and Meyer, J.-A., editors, Proceedings of the Conference on Situated Artificial Intelligence (IAS99), pages 193-211, Hermès, Paris.
  2. Arleo A and Gerstner W (1999) A vision-driven model of hippocampal place cells and temporally asymmetric LTP-induction for action learning. In Willshaw, D. and Murry, A., editors, Proceedings of the Ninth International Conference on Artificial Neural Networks, vol. 1, pages 132-137, IEE Press, London.
  3. Arleo A, del R. Millán J and Floreano D (1999) Efficient learning of variable-resolution cognitive maps for autonomous indoor navigation. IEEE Transctions on Robotics and Automation, 15(6):990-1000.
  4. Arleo A, del R. Millán J and Gerstner W (1999) Hippocampal spatial model for state space representation in reinforcement learning. Technical Report 99/316, Swiss Federal Institute of Technology, Lausanne, Switzerland.
  5. Arleo A and Gerstner W (1999) Spatial models and autonomous navigation in neuromimetic systems. In Proceedings of the 3rd Int Conference on Cognitive and Neural Systems, Boston, MA.

1998

  1. Arleo A, Floreano D and Gerstner W (1998) Modélisation de l'hippocampe: Représentation spatiale et navigation des systèmes autonomes. In Journées des Jeunes Chercheurs en Robotique, JJCR10, pages 25-30, Amiens, France.

1997

  1. del R. Millán J and Arleo A (1997) Neural network learning of variable grid-based maps for the autonomous navigation of robots. In Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, pages 40-45, IEEE Computer Society Press.
  2. Arleo A and del R. Millán J (1997) Software application NELVAM, NEural network Learning of VAriable grid-based Maps, European Copyright ref. 2545.

1996

  1. Arleo A (1996) Neural networks based on active local learning for efficient exploration of unknown environments. Master's Thesis, University of Mathematical Science, Milan, Italy.