Laurent Perrinet

TL;DR: PyNN increases the productivity of neuronal network modelling by providing high-level abstraction, by promoting code sharing and reuse, and by providing a foundation for simulator-agnostic analysis, visualization and data-management tools.

TL;DR: This work explores the idea that saccadic eye movements are optimal experiments, in which data are gathered to test hypotheses or beliefs about how those data are caused, and provides a plausible model of visual search that can be motivated from the basic principles of self-organized behavior.

TL;DR: The present transform not only achieves important mathematical properties, it also follows as much as possible the knowledge on the receptive field properties of the simple cells of the Primary Visual Cortex (V1) and on the statistics of natural images to make it a promising tool for processing natural images.

TL;DR: Rank Order Coding is an alternative to conventional rate coding schemes that uses the order in which a neuron's inputs fire to encode information, and orientation like receptive fields arise in neurons despite the fact that the input neurons never fired more than once.

TL;DR: It is shown that a single deficit in the postsynaptic gain of prediction error units can account for several features of smooth pursuit in schizophrenia: namely, a reduction in motor gain and anticipatory eye movements during visual occlusion, a paradoxical improvement in tracking unpredicted deviations from target trajectories and a failure to recognise and exploit regularities in the periodic motion of visual targets.