Tianyi LI (PhD student)

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 54

email:

Research interests: 

During my PhD, I am interested in modelling human vision mechanism and how our brain uses visual information for spatial cognitive functions. As we know, with the support of vision, human can easily perform spatial localisation and navigation tasks. The computational principles set forth in my modelling approach are grounded on neurobiological data. Currently, I am focusing on coordinate transformation occurring based on the interplay between processing in the parietal and retrosplenial cortices. Modelling hippocampal place cells and head direction cells will also be part of my PhD project.

Short bio:

My undergraduate degree was qualified by the Software Engineering Department of the University of South China in 2011. Then, I obtained a Master of Science degree in Computational Intelligence and Robotics in the University of Sheffield in January 2015. Now, I am pursuing my PhD program at the Vision Institute (Aging in Vision and Action lab).

Keywords: 

coordinate transformation; navigation; localisation; place cells; head direction cells; parietal cortex; retrosplenial cortex; hippocampus.

 

CV (pdf): [ download ]

 

Publications

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2020

  1. 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.
  2. 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.

2019

  1. Li T (2019) Vision, multisensory ingration and aging in an integrated computational model of spatial memory. Ph.D. Thesis, Sorbonne University, Paris.
  2. 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.

2018

  1. 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.
  2. 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.
  3. 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.

2017

  1. 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.
  2. 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.
  3. 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).