Laureline Logiaco's Phd defence

2015-10-07 at 13:30

UCL R+0 conference room or amphi at XV-XX


Spatiotemporal spike coding of behavioral adaptation in the dorsal anterior cingulate cortex

We investigated the coding properties of spike trains recorded from the dorsal Anterior Cingulate Cortex (dACC) of monkeys. dACC is thought to trigger behavioral adaptation. We found evidence for (i) high spike count variability, and (ii) temporal reliability (favored by temporal correlations) which respectively hindered and favored information transmission when monkeys were cued to switch their behavioral strategy. We also assessed which characteristic of dACC spike trains was predictive of behavioral variability. Consistent with temporal coding, high vs. low firing rates were not robustly associated with different behavioral responses. By contrast, deviations from the prototypical temporal pattern reliably predicted slower responses of the monkeys. To further investigate the mechanism of temporal modulation in dACC, we developed a mean-field model of recurrent networks of adapting spiking neurons. This model allowed us to study the effect of temporal drive on downstream networks with a putative cognitive function.