Yves Frégnac

The paper presents a comprehensive spiking model of cat primary visual cortex constrained by anatomical and functional data, showing it matches experimental statistics and generates realistic neural activity.

The paper develops a spiking model of the cortico-thalamic loop to explain competitive interactions in visual processing and validates it against experimental data.

This paper shows how horizontal connectivity in V1 affects spiking latency and gain through contextual effects in motion and contour integration.

This study uses large-scale spiking neural networks to simulate cortical optogenetic stimulation and develops a protocol for translating visual stimuli into light activation patterns for vision restoration.