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ORCIDJean-Philippe Thivierge
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2020 – today
- 2024
[j19]Asim Roy, Ali A. Minai, Jean-Philippe Thivierge, Tsvi Achler, Juyang Weng:
Editorial: What AI and Neuroscience Can Learn from Each Other - Open Problems in Models and Theories. Cogn. Comput. 16(5): 2331-2333 (2024)- 2022
- [c6]Megan Boucher-Routhier, Artem Pilzak, Annie Theberge Charbonneau, Jean-Philippe Thivierge:
Learning to Stabilize Extreme Neural Machines with Metaplasticity. IJCNN 2022: 1-5 - 2021
- [j18]Megan Boucher-Routhier
, Bill Ling Feng Zhang, Jean-Philippe Thivierge:
Extreme neural machines. Neural Networks 144: 639-647 (2021) - 2020
- [j17]Philippe Vincent-Lamarre, Matias Calderini, Jean-Philippe Thivierge:
Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations. Frontiers Comput. Neurosci. 14: 78 (2020)
2010 – 2019
- 2018
- [j16]Eric S. Kuebler, Matias Calderini, André Longtin, Nicolas Bent, Philippe Vincent-Lamarre, Jean-Philippe Thivierge:
Non-monotonic accumulation of spike time variance during membrane potential oscillations. Biol. Cybern. 112(6): 539-545 (2018) - [j15]Matias Calderini, Sophie Zhang, Nareg Berberian, Jean-Philippe Thivierge:
Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit. Neural Comput. 30(6) (2018) - 2017
- [c5]Nareg Berberian, Matt Ross, Sylvain Chartier, Jean-Philippe Thivierge:
Synergy between short-term and long-term plasticity explains direction-selectivity in visual cortex. SSCI 2017: 1-8 - 2016
- [j14]Aleena Shaukat, Jean-Philippe Thivierge:
Statistical Evaluation of Waveform Collapse Reveals Scale-Free Properties of Neuronal Avalanches. Frontiers Comput. Neurosci. 10: 29 (2016) - [j13]Philippe Vincent-Lamarre, Guillaume Lajoie, Jean-Philippe Thivierge:
Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks. J. Comput. Neurosci. 41(3): 305-322 (2016) - [j12]Guillaume Lajoie, Kevin K. Lin, Jean-Philippe Thivierge, Eric Shea-Brown:
Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems. PLoS Comput. Biol. 12(12) (2016) - 2014
- [j11]Guillaume Lajoie, Jean-Philippe Thivierge, Eric Shea-Brown:
Structured chaos shapes spike-response noise entropy in balanced neural networks. Frontiers Comput. Neurosci. 8: 123 (2014) - 2013
- [c4]Eric S. Kuebler, Elise Bonnema, James McCorriston, Jean-Philippe Thivierge:
Stimulus discrimination in networks of spiking neurons. IJCNN 2013: 1-8 - 2012
- [j10]Kathleen Vincent, Joseph S. Tauskela, Jean-Philippe Thivierge:
Extracting functionally feedforward networks from a population of spiking neurons. Frontiers Comput. Neurosci. 6: 86 (2012) - [j9]Jean-Philippe Thivierge, Ali A. Minai, Hava T. Siegelmann, Cesare Alippi, Michael Georgiopoulos:
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. Neural Networks 32: 1-2 (2012) - 2011
- [j8]Jean-Philippe Thivierge, Paul Cisek:
Spiking neurons that keep the rhythm. J. Comput. Neurosci. 30(3): 589-605 (2011) - [j7]Mikail Rubinov, Olaf Sporns, Jean-Philippe Thivierge, Michael Breakspear:
Neurobiologically Realistic Determinants of Self-Organized Criticality in Networks of Spiking Neurons. PLoS Comput. Biol. 7(6) (2011) - [c3]Jean-Philippe Thivierge, Frédéric Dandurand, Denis Cousineau:
A multi-state model of cortical memory. IJCNN 2011: 133-138 - 2010
- [j6]Christopher J. Honey, Jean-Philippe Thivierge, Olaf Sporns:
Can structure predict function in the human brain? NeuroImage 52(3): 766-776 (2010) - [j5]Jean-Philippe Thivierge:
Computational Developmental Neuroscience: Capturing Developmental Trajectories From Genes to Cognition. IEEE Trans. Auton. Ment. Dev. 2(1): 51-58 (2010)
2000 – 2009
- 2009
- [j4]Jean-Philippe Thivierge:
How does non-random spontaneous activity contribute to brain development? Neural Networks 22(7): 901-912 (2009) - 2008
- [j3]Jean-Philippe Thivierge:
Higher Derivatives of ERP Responses to Cross-Modality Processing. Neuroinformatics 6(1): 35-46 (2008) - 2007
- [j2]Jean-Philippe Thivierge, Evan Balaban:
Getting into shape: Optimal ligand gradients for axonal guidance. Biosyst. 90(1): 61-77 (2007) - [j1]Thomas R. Shultz, François Rivest, László Egri, Jean-Philippe Thivierge, Frédéric Dandurand:
Could Knowledge-Based Neural Learning be Useful in Developmental Robotics? The Case of Kbcc. Int. J. Humanoid Robotics 4(2): 245-279 (2007) - [c2]Jean-Philippe Thivierge:
Functional data analysis of cognitive events in EEG. SMC 2007: 2473-2478 - 2006
- [c1]Jean-Philippe Thivierge, Gary F. Marcus:
Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity. IJCNN 2006: 4630-4637
Coauthor Index
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