A dual-phase technique for pruning constructive networks. - Jean-Philippe Thivierge; François Rivest; Thomas R. Shultz (IJCNN, 2003)

Transferring domain rules in a constructive network: introducing RBCC. - Jean-Philippe Thivierge; Frédéric Dandurand; Thomas R. Shultz (IJCNN, 2004)

Faithful retinotopic maps with local optimum rules, axonal competition, and Hebbian learning. - Jean-Philippe Thivierge; Evan Balaban (IJCNN, 2005)

Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity. - Jean-Philippe Thivierge; Gary F. Marcus (IJCNN, 2006)

Functional data analysis of cognitive events in EEG. - Jean-Philippe Thivierge (SMC, 2007)

Getting into shape: Optimal ligand gradients for axonal guidance. - Jean-Philippe Thivierge; Evan Balaban (Biosyst., 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)

Higher Derivatives of ERP Responses to Cross-Modality Processing. - Jean-Philippe Thivierge (Neuroinformatics, 2008)

How does non-random spontaneous activity contribute to brain development? - Jean-Philippe Thivierge (Neural Networks, 2009)

Can structure predict function in the human brain? - Christopher J. Honey; Jean-Philippe Thivierge; Olaf Sporns (NeuroImage, 2010)

Computational Developmental Neuroscience: Capturing Developmental Trajectories From Genes to Cognition. - Jean-Philippe Thivierge (IEEE Trans. Auton. Ment. Dev., 2010)

A multi-state model of cortical memory. - Jean-Philippe Thivierge; Frédéric Dandurand; Denis Cousineau 001 (IJCNN, 2011)

Spiking neurons that keep the rhythm. - Jean-Philippe Thivierge; Paul Cisek (J. Comput. Neurosci., 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)

Extracting functionally feedforward networks from a population of spiking neurons. - Kathleen Vincent; Joseph S. Tauskela; Jean-Philippe Thivierge (Frontiers Comput. Neurosci., 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)

Stimulus discrimination in networks of spiking neurons. - Eric S. Kuebler; Elise Bonnema; James McCorriston; Jean-Philippe Thivierge (IJCNN, 2013)

Structured chaos shapes spike-response noise entropy in balanced neural networks. - Guillaume Lajoie; Jean-Philippe Thivierge; Eric Shea-Brown (Frontiers Comput. Neurosci., 2014)

Statistical Evaluation of Waveform Collapse Reveals Scale-Free Properties of Neuronal Avalanches. - Aleena Shaukat; Jean-Philippe Thivierge (Frontiers Comput. Neurosci., 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)

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)

Synergy between short-term and long-term plasticity explains direction-selectivity in visual cortex. - Nareg Berberian; Matt Ross 001; Sylvain Chartier; Jean-Philippe Thivierge (SSCI, 2017)

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)

Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit. - Matias Calderini; Sophie Zhang; Nareg Berberian; Jean-Philippe Thivierge (Neural Comput., 2018)

Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations. - Philippe Vincent-Lamarre; Matias Calderini; Jean-Philippe Thivierge (Frontiers Comput. Neurosci., 2020)

Extreme neural machines. - Megan Boucher-Routhier; Bill Ling Feng Zhang; Jean-Philippe Thivierge (Neural Networks, 2021)

Learning to Stabilize Extreme Neural Machines with Metaplasticity. - Megan Boucher-Routhier; Artem Pilzak; Annie Theberge Charbonneau; Jean-Philippe Thivierge (IJCNN, 2022)

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., 2024)

Enhancing out-of-distribution learning in computer vision through dominant feature masking. - Artem Pilzak; Jean-Philippe Thivierge (Pattern Anal. Appl., 2025)