activity
19992024
most citedA discrete time neural network model with spiking neurons II. Dynamics with noise

53 citations · 420 across the 41 of their papers we have counts for

collaborators

43 papers

q-bio.NC2024

How does the inner retinal network shape the ganglion cells receptive field : a computational study

Evgenia Kartsaki, Gerrit Hilgen, Evelyne Sernagor +1

We consider a model of basic inner retinal connectivity where bipolar and amacrine cells interconnect, and both cell types project onto ganglion cells, modulating their response ou…

nlin.AO2023

The non linear dynamics of retinal waves

Bruno Cessac, Dora Matzakou-Karvouniari

We investigate the dynamics of stage II retinal waves via a dynamical system, grounded on biophysics, and analysed with bifurcation theory. We show how the nonlinear cells coupling…

math.DS2022

Retinal processing: insights from mathematical modelling

Bruno Cessac

The retina is the entrance of the visual system. Although based on common biophysical principles the dynamics of retinal neurons is quite different from their cortical counterparts…

q-bio.NC2020

The Retina as a Dynamical System

Bruno Cessac

Considering the retina as a high dimensional, non autonomous, dynamical system, layered and structured, with non stationary and spatially inhomogeneous entries (visual scenes), we…

q-bio.NC2020★ 3 cited

Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics

Rodrigo Cofré, Cesar Maldonado, Bruno Cessac

The Thermodynamic Formalism provides a rigorous mathematical framework to study quantitative and qualitative aspects of dynamical systems. At its core there is a variational princi…

q-bio.QM2020

On the potential role of lateral connectivity in retinal anticipation

Selma Souihel, Bruno Cessac

We analyse the potential effects of lateral connectivity (amacrine cells and gap junctions) on motion anticipation in the retina. Our main result is that lateral connectivity can-u…