PRANAS: A New Platform for Retinal Analysis and Simulation

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE

(2017) Pietro Quaglio et al.   Frontiers in Computational Neuroscience

Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task

(2016) E. Torre et al.   JOURNAL OF NEUROSCIENCE

Large-scale spatiotemporal spike patterning consistent with wave propagation in motor cortex

(2015) Kazutaka Takahashi et al.   Nature Communications

Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike Trains

(2014) Hassan Nasser et al.   Entropy

Space–time wiring specificity supports direction selectivity in the retina

(2014) Jinseop S. Kim et al.   NATURE

Exact computation of the maximum-entropy potential of spiking neural-network models

(2014) R. Cofré et al.   PHYSICAL REVIEW E

Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses

(2013) Rodrigo Cofré et al.   CHAOS SOLITONS & FRACTALS

Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method

(2013) Hassan Nasser et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

The simplest maximum entropy model for collective behavior in a neural network

(2013) Gašper Tkačik et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis

(2013) Robert Pröpper et al.   Frontiers in Neuroinformatics

Information coding in a laminar computational model of cat primary visual cortex

(2012) Gleb Basalyga et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Artificial retina: the multichannel processing of the mammalian retina achieved with a neuromorphic asynchronous light acquisition device

(2012) Henri Lorach et al.   Journal of Neural Engineering

RetinaStudio: A bioinspired framework to encode visual information

(2012) Antonio Martínez-Álvarez et al.   NEUROCOMPUTING

Encoding of Luminance and Contrast by Linear and Nonlinear Synapses in the Retina

(2012) Benjamin Odermatt et al.   NEURON

The Neuronal Organization of the Retina

(2012) Richard H. Masland   NEURON

Large-scale, high-resolution electrophysiological imaging of field potentials in brain slices with microelectronic multielectrode arrays

(2012) E. Ferrea et al.   Frontiers in Neural Circuits

Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model

(2011) Timothée Masquelier   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

The Architecture of Functional Interaction Networks in the Retina

(2011) E. Ganmor et al.   JOURNAL OF NEUROSCIENCE

Gibbs distribution analysis of temporal correlations structure in retina ganglion cells

(2011) J.C. Vasquez et al.   JOURNAL OF PHYSIOLOGY-PARIS

How advances in neural recording affect data analysis

(2011) Ian H Stevenson et al.   NATURE NEUROSCIENCE

Mean Field Theory for Nonequilibrium Network Reconstruction

(2011) Yasser Roudi et al.   PHYSICAL REVIEW LETTERS

Sparse low-order interaction network underlies a highly correlated and learnable neural population code

(2011) E. Ganmor et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Using Human Visual System modeling for bio-inspired low level image processing

(2010) A. Benoit et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

A discrete time neural network model with spiking neurons: II: Dynamics with noise

(2010) B. Cessac   JOURNAL OF MATHEMATICAL BIOLOGY

Correlated firing among major ganglion cell types in primate retina

(2010) M. Greschner et al.   JOURNAL OF PHYSIOLOGY-LONDON

Eye Smarter than Scientists Believed: Neural Computations in Circuits of the Retina

(2010) Tim Gollisch et al.   NEURON

Optimal population coding by noisy spiking neurons

(2010) G. Tkacik et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Open source tools for the information theoretic analysis of neural data

(2010) Robin A. A. Ince   Frontiers in Neuroscience

Automatic spike train analysis and report generation. An implementation with R, R2HTML and STAR

(2009) Christophe Pouzat et al.   JOURNAL OF NEUROSCIENCE METHODS

How Gibbs Distributions May Naturally Arise from Synaptic Adaptation Mechanisms. A Model-Based Argumentation

(2009) B. Cessac et al.   JOURNAL OF STATISTICAL PHYSICS

Spike Train Analysis Toolkit: Enabling Wider Application of Information-Theoretic Techniques to Neurophysiology

(2009) David H. Goldberg et al.   NEUROINFORMATICS

Ising model for neural data: Model quality and approximate methods for extracting functional connectivity

(2009) Yasser Roudi et al.   PHYSICAL REVIEW E

Prediction of Spatiotemporal Patterns of Neural Activity from Pairwise Correlations

(2009) O. Marre et al.   PHYSICAL REVIEW LETTERS

Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't

(2009) Yasser Roudi et al.   PLoS Computational Biology

Python for large-scale electrophysiology

(2009) Martin Spacek   Frontiers in Neuroinformatics

OpenElectrophy: an electrophysiological data and analysis sharing framework

(2009) Samuel Garcia   Frontiers in Neuroinformatics

Virtual Retina: A biological retina model and simulator, with contrast gain control

(2008) Adrien Wohrer et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro

(2008) A. Tang et al.   JOURNAL OF NEUROSCIENCE

sigTOOL: A MATLAB-based environment for sharing laboratory-developed software to analyze biological signals

(2008) Malcolm Lidierth   JOURNAL OF NEUROSCIENCE METHODS

FIND — A unified framework for neural data analysis

(2008) Ralph Meier et al.   NEURAL NETWORKS