Spiking-Neural-Networks

Phase space analysis of networks based on biologically realistic parameters
Nicole Voges, Laurent U Perrinet
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Correlating Excitation and Inhibition in Visual Cortical Circuits : Functional Consequences and Biological Feasibility
Jens Oliver Kremkow
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Dynamical state spaces of cortical networks representing various horizontal connectivities
Nicole Voges, Laurent U Perrinet
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Dynamics of cortical networks including long-range patchy connections
Nicole Voges, Laurent U Perrinet
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Functional consequences of correlated excitation and inhibition on single neuron integration and signal propagation through synfire chains
Jens Kremkow, Laurent U Perrinet, Guillaume S Masson, Ad M Aertsen
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NeuralEnsemble: Towards a meta-environment for network modeling and data analysis
Pierre Yger, Daniel Bruderle, Jochen Eppler, Jens Kremkow, Dejan Pecevski, Laurent U Perrinet, Michael Schmuker, Eilif Muller, Andrew P Davison
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From neural activity to behavior: computational neuroscience as a synthetic approach for understanding the neural code.
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Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images
Laurent U Perrinet
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Control of the temporal interplay between excitation and inhibition by the statistics of visual input: a V1 network modelling study
Jens Kremkow, Laurent U Perrinet, Pierre Baudot, Manu Levy, Olivier Marre, Cyril Monier, Yves Frégnac, Guillaume S Masson, Ad M Aertsen
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PyNN: A Common Interface for Neuronal Network Simulators
Andrew P Davison, Daniel Bruderle, Jochen Eppler, Jens Kremkow, Eilif Muller, Dejan Pecevski, Laurent U Perrinet, Pierre Yger
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What adaptive code for efficient spiking representations? A model for the formation of receptive fields of simple cells
Laurent U Perrinet
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What efficient code for adaptive spiking representations?
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Manuel Samuelides
PyNN: towards a universal neural simulator API in Python
Andrew P Davison, Pierre Yger, Jens Kremkow, Laurent U Perrinet, Eilif Muller
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Contrast sensitivity adaptation in a virtual spiking retina and its adequation with mammalians retinas
Adrien Wohrer, Guillaume S Masson, Laurent U Perrinet, Pierre Kornprobst, Thierry Vieville
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Dynamical contrast gain control mechanisms in a layer 2/3 model of the primary visual cortex
Laurent U Perrinet, Jens Kremkow
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Efficient representation of natural images using local cooperation
Sylvain Fischer, Rafael Redondo, Laurent U Perrinet, Gabriel Cristóbal
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Coding static natural images using spiking event times: do neurons cooperate?
Laurent U Perrinet, Manuel Samuelides, Simon Thorpe
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Simon Thorpe
Feature detection using spikes : the greedy approach
Laurent U Perrinet
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Finding Independent Components using spikes : a natural result of Hebbian learning in a sparse spike coding scheme
Laurent U Perrinet
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Coherence detection in a spiking neuron via Hebbian learning
Laurent U Perrinet, Manuel Samuelides
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Sparse Image Coding Using an Asynchronous Spiking Neural Network
Laurent U Perrinet, Manuel Samuelides
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2020-12-10_agileneurobot_anr
2022-07-01_grimaldi-22-areadne
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