Laurent Perrinet

Pooling in a predictive model of V1 explains functional and structural diversity across species

This study introduces a computational model that explains the emergence of complex cells and orientation maps in V1 across species through a single mechanism, pooling.

Dynamical processing of orientation precision in the primary visual cortex

The paper investigates how V1 neurons process orientation precision in natural stimuli and finds that some neurons show invariant responses to input precision, enhancing robust orientation recognition through population coding.

A dual foveal-peripheral visual processing model implements efficient saccade selection

The paper develops a dual visual processing model that improves saccade selection efficiency by combining foveal accuracy with peripheral visual field analysis.

Humans adapt their anticipatory eye movements to the volatility of visual motion properties

This paper shows humans adapt anticipatory eye movements to volatile visual motion, using a probabilistic model to better match behavior than classical models.

Anticipatory responses along motion trajectories in awake monkey area V1

The paper investigates how anticipatory neural responses in monkey V1 arise from horizontal and feedback pathways during motion integration of translating objects.

Cortical suppressive waves shape the representation of long-range apparent motion

The paper investigates how suppressive waves in V1 shape the representation of long-range apparent motion using voltage-sensitive dye imaging in monkeys.

Speed-Selectivity in Retinal Ganglion Cells is Modulated by the Complexity of the Visual Stimulus

The paper shows that retinal ganglion cells adjust their response to complex naturalistic stimuli more efficiently than to simple artificial ones, suggesting the retina encodes motion information more effectively with complex stimuli.