Jean-Philippe Thivierge

According to our database, Jean-Philippe Thivierge authored at least 25 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Editorial: What AI and Neuroscience Can Learn from Each Other - Open Problems in Models and Theories.

Asim Roy, Ali A. Minai, Jean-Philippe Thivierge, Tsvi Achler, Juyang Weng

Cogn. Comput., September, 2024

2022

Learning to Stabilize Extreme Neural Machines with Metaplasticity.

Megan Boucher-Routhier, Artem Pilzak, Annie Theberge Charbonneau, Jean-Philippe Thivierge

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Extreme neural machines.

Megan Boucher-Routhier, Bill Ling Feng Zhang, Jean-Philippe Thivierge

Neural Networks, 2021

2020

Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations.

Philippe Vincent-Lamarre, Matias Calderini, Jean-Philippe Thivierge

Frontiers Comput. Neurosci., 2020

2018

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

Matias Calderini, Sophie Zhang, Nareg Berberian, Jean-Philippe Thivierge

Neural Comput., 2018

Non-monotonic accumulation of spike time variance during membrane potential oscillations.

Eric S. Kuebler, Matias Calderini, André Longtin, Nicolas Bent, Philippe Vincent-Lamarre, Jean-Philippe Thivierge

Biol. Cybern., 2018

2017

Synergy between short-term and long-term plasticity explains direction-selectivity in visual cortex.

Nareg Berberian, Matt Ross, Sylvain Chartier, Jean-Philippe Thivierge

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.

Guillaume Lajoie, Kevin K. Lin, Jean-Philippe Thivierge, Eric Shea-Brown

PLoS Comput. Biol., 2016

Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks.

Philippe Vincent-Lamarre, Guillaume Lajoie, Jean-Philippe Thivierge

J. Comput. Neurosci., 2016

Statistical Evaluation of Waveform Collapse Reveals Scale-Free Properties of Neuronal Avalanches.

Aleena Shaukat, Jean-Philippe Thivierge

Frontiers Comput. Neurosci., 2016

2014

Structured chaos shapes spike-response noise entropy in balanced neural networks.

Guillaume Lajoie, Jean-Philippe Thivierge, Eric Shea-Brown

Frontiers Comput. Neurosci., 2014

2013

Stimulus discrimination in networks of spiking neurons.

Eric S. Kuebler, Elise Bonnema, James McCorriston, Jean-Philippe Thivierge

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.

Jean-Philippe Thivierge, Ali A. Minai, Hava T. Siegelmann, Cesare Alippi, Michael Georgiopoulos

Neural Networks, 2012

Extracting functionally feedforward networks from a population of spiking neurons.

Kathleen Vincent, Joseph S. Tauskela, Jean-Philippe Thivierge

Frontiers Comput. Neurosci., 2012

2011

Neurobiologically Realistic Determinants of Self-Organized Criticality in Networks of Spiking Neurons.

Mikail Rubinov, Olaf Sporns, Jean-Philippe Thivierge, Michael Breakspear

PLoS Comput. Biol., 2011

Spiking neurons that keep the rhythm.

Jean-Philippe Thivierge, Paul Cisek

J. Comput. Neurosci., 2011

A multi-state model of cortical memory.

Jean-Philippe Thivierge, Frédéric Dandurand, Denis Cousineau

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Computational Developmental Neuroscience: Capturing Developmental Trajectories From Genes to Cognition.

Jean-Philippe Thivierge

IEEE Trans. Auton. Ment. Dev., 2010

Can structure predict function in the human brain?

Christopher J. Honey, Jean-Philippe Thivierge, Olaf Sporns

NeuroImage, 2010

2009

How does non-random spontaneous activity contribute to brain development?

Jean-Philippe Thivierge

Neural Networks, 2009

2008

Higher Derivatives of ERP Responses to Cross-Modality Processing.

Jean-Philippe Thivierge

Neuroinformatics, 2008

2007

Could Knowledge-Based Neural Learning be Useful in Developmental Robotics? The Case of Kbcc.

Thomas R. Shultz, François Rivest, László Egri, Jean-Philippe Thivierge, Frédéric Dandurand

Int. J. Humanoid Robotics, 2007

Getting into shape: Optimal ligand gradients for axonal guidance.

Jean-Philippe Thivierge, Evan Balaban

Biosyst., 2007

Functional data analysis of cognitive events in EEG.

Jean-Philippe Thivierge

Proceedings of the IEEE International Conference on Systems, 2007

2006

Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity.

Jean-Philippe Thivierge, Gary F. Marcus

Proceedings of the International Joint Conference on Neural Networks, 2006