Jean-Philippe Thivierge

According to our database1, Jean-Philippe Thivierge authored at least 22 papers between 2006 and 2020.

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Bibliography

2020
Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations.
Frontiers Comput. Neurosci., 2020

2018
Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit.
Neural Comput., 2018

Non-monotonic accumulation of spike time variance during membrane potential oscillations.
Biol. Cybern., 2018

2017
Synergy between short-term and long-term plasticity explains direction-selectivity in visual cortex.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems.
PLoS Comput. Biol., 2016

Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks.
J. Comput. Neurosci., 2016

Statistical Evaluation of Waveform Collapse Reveals Scale-Free Properties of Neuronal Avalanches.
Frontiers Comput. Neurosci., 2016

2014
Structured chaos shapes spike-response noise entropy in balanced neural networks.
Frontiers Comput. Neurosci., 2014

2013
Stimulus discrimination in networks of spiking neurons.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks.
Neural Networks, 2012

Extracting functionally feedforward networks from a population of spiking neurons.
Frontiers Comput. Neurosci., 2012

2011
Neurobiologically Realistic Determinants of Self-Organized Criticality in Networks of Spiking Neurons.
PLoS Comput. Biol., 2011

Spiking neurons that keep the rhythm.
J. Comput. Neurosci., 2011

A multi-state model of cortical memory.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Computational Developmental Neuroscience: Capturing Developmental Trajectories From Genes to Cognition.
IEEE Trans. Auton. Ment. Dev., 2010

Can structure predict function in the human brain?
NeuroImage, 2010

2009
How does non-random spontaneous activity contribute to brain development?
Neural Networks, 2009

2008
Higher Derivatives of ERP Responses to Cross-Modality Processing.
Neuroinformatics, 2008

2007
Could Knowledge-Based Neural Learning be Useful in Developmental Robotics? The Case of Kbcc.
Int. J. Humanoid Robotics, 2007

Getting into shape: Optimal ligand gradients for axonal guidance.
Biosyst., 2007

Functional data analysis of cognitive events in EEG.
Proceedings of the IEEE International Conference on Systems, 2007

2006
Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity.
Proceedings of the International Joint Conference on Neural Networks, 2006


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