EnaS: a new software for neural population analysis in large scale spiking networks

Fusion of ANNs as decoder of retinal spike trains for scene reconstruction

“…The third class represents a detailed retinal model based on circuits that predict individual or collective responses measured at the ganglion cell level [12,29]. These models have the following characteristics: a) Understand how to accurately reproduce spike activity statistics at the population level [30]; b) Coordinate connectionomics and present simple computational rules for visual motion detection [31]; and c) Investigate how such canonical microcircuits implement different retinal processing modules [32]. Since the third model can specifically explore the process of retinal image processing, we chose this model to simulate the generation of retinal RGCs spike trains.…”

PRANAS: A New Platform for Retinal Analysis and Simulation

“…The third class is based on detailed retinal models reproducing its circuitry, in order to predict the individual or collective responses measured at the ganglion cells level (Pelayo et al, 2004 ; Wohrer and Kornprobst, 2009 ; Lorach et al, 2012 ; Martinez-Alvarez et al, 2013 ). In PRANAS, we are interested in this third class of models because they allow to explore several aspects of retinal image processing such as (i) understanding how to reproduce accurately the statistics of the spiking activity at the population level (Nasser et al, 2013a ), (ii) reconciling connectomics and simple computational rules for visual motion detection (Kim et al, 2014 ), and (iii) investigating how such canonical microcircuits can implement the different retinal processing modules cited in e.g., Gollisch and Meister ( 2010 ). More precisely, the PRANAS platform has integrated and extended the VIRTUAL RETINA simulator (Wohrer and Kornprobst, 2009 ) 1 initially developed in our team to do large scale retina simulations.…”