J.P. Thivierge, Ph.D.

University of Ottawa

School of Psychology

136 Jean Jacques Lussier, Ottawa, ON  K1N 6N5 Canada


Research interests

My research focuses on computational and quantitative investigations of neural connectivity and plasticity. The particular focus of my work is on investigating the mechanisms by which synaptic plasticity alters neuronal interactions as a result of learning, development, and reorganization following damage. My work explores two main themes: 1) the local changes in synaptic efficacy occurring at individual synaptic junctions; and 2) the global re-organization of complex cellular networks.

U of Ottawa Computational Summer School



Tutorial on the use of AAFT

Available here: https://sites.google.com/site/eegaaft

Publications By Year


Berberian, N., MacPherson, A., Giraud, E., Richardson, L., Thivierge, J.P. (2017). Neuronal pattern separation of motion-relevant input in LIP. Journal of Neurophysiology, 117, 738-755. [pdf]


Lajoie, G., Lin, K.K., Thivierge, J.-P., Shea-Brown, E. (2016). Encoding in balanced networks: Revisiting spike patterns and chaos in stimulus-driven systems. PLoS Computational Biology,
Dec 14;12(12):e1005258. [pdf]

Vincent-Lamarre, P., Lajoie, G., Thivierge, JP. (2016). Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic network. Journal of Computational Neuroscience,
Dec;41(3):305-322. [pdf]

Snyder, M.A., McCann, K., Lalande, M.J., Thivierge, J.P., & Bergeron, R. (accepted). Sigma receptor type 1-knockout mice show a mild deficit in plasticity but no significant change in synaptic transmission in the CA1 region of the hippocampus. Journal of Neurochemistry,
Sep;138(5):700-9. [pdf]

Shaukat, A., Thivierge, J.P. (2016). 
Statistical evaluation of waveform collapse reveals scale-free properties of neuronal avalanches. Frontiers in Computational Neuroscience,
Apr 7;10:29. [pdf]

Lee, K.F.H., Soares, C., Thivierge, J.P., Beique, J.-C. (2016) Correlated synaptic inputs drive dendritic calcium amplification and cooperative plasticity during clustered synapse development. Neuron, 89, 4, 784-799. [pdf]

Cousineau, D., Thivierge, J.P., Harding, B., Lacouture. Y. (2016). Constructing a group distribution from individual distributions. Canadian Journal of Experimental Psychology, 70, 253-277. [pdf]


Kuebler, E.S., Tauskela, J.S., Aylsworth, A., Zhao, X., Thivierge, J.P. (2015). Burst predicting neurons survive an in vitro glutamate injury model of cerebral ischemia. Nature Scientific Reports5, 17718. [pdf]


Lajoie, G., Thivierge, J.P., Shea-Brown, E. (2014). Structured chaos shapes joint spike-response noise entropy in temporally driven balanced networks. Frontiers in Computational Neuroscience 8. [pdf]

Thivierge, J.P. (2014). Scale-free and economical features of functional connectivity in neuronal networks. Physical Review E 90, 022721. [pdf]

Kuebler, E.S., Thivierge, J.P. (2014). Spiking variability: Theory, measures, and implementation in MATLAB. Quantitative Methods for Psychology 10, 131-142. [pdf]

Thivierge, J.P., Comas, R., & Longtin, A. (2014). Attractor dynamics in local neuronal networks. Frontiers in Neural Circuits 8, 22. [pdf]

Langlois, D., Cousineau, D., Thivierge, J.P. (2014) Maximum likelihood estimators for truncated and censored power law distributions show how neuronal avalanches may be misevaluated. Physical Review E 89, 012709. [pdf]


Zunini, R.A.L., Thivierge, J.P., Kousaie, S., Sheppard, C., Taler, V. (2013). Alterations in Resting-State Activity Relate to Performance in a Verbal Recall Task. PLoS ONE, 8, e65608. [pdf

Vincent, K., Tauskela, J.S., Mealing, G.M., Thivierge, J.P. (2013). Altered network communication following a neuroprotective drug treatment. PLoS ONE, 8, e54478. [pdf]

Kuebler, E.S., Bonnema, E., McCorriston, J., Thivierge, J.P. (2013). Stimulus Discrimination in Networks of Spiking Neurons. Proceedings of the IEEE International Joint Conference on Neural Networks. 1-8. [pdf]


Vincent, K., Tauskela, J.S., Thivierge, J.P. (2012). Extracting functionally feedforward networks from a population of spiking neurons. Frontiers in Comput Neurosci, 6, 1-12. [pdf]

Thivierge, J.P., Minai, A., Siegelmann, H., Alippi, C., Geourgiopoulos, M. (2012). A year of neural network research. Neural Networks, 32, 1-2. [pdf]

Thivierge, J.P., Dandurand, F., Cousineau, D. (2012). A multi-state model of cortical memory. Proceedings of the IEEE International Joint Conference on Neural Networks, pp.133-138. [pdf


Rubinov, M., Sporns, O., Thivierge, J.P., Breakspear, M. (2011). Neurobiologically realistic determinants of self-organized criticality in large networks of spiking neurons. Public Library of Science: Computational Biology, 7, e1002038. [pdf]

Thivierge, J.P., & Cisek, P. (2011). Spiking neurons that keep the rhythm. Journal of Computational Neuroscience, 30, 589-605. [pdf]


Arnall, S., Cheam, L.Y., Smart, C., Rengel, Fitzgerald, L., Thivierge, J.P., Rodger, J. (2010). Abnormal strategies during visual discrimination reversal learning in ephrin-A2-/- mice. Behavioral Brain Research, 209, 109-113. [pdf]

Honey, C.J., Thivierge, J.P., & Sporns, O. (2010). Can structure predict function in the human brain? Neuroimage, 52, 766-776. [pdf]

Thivierge, J.P. (2010). Computational developmental neuroscience: Capturing developmental trajectories from genes to cognition. IEEE Transactions on Autonomous Mental Development, 2, 51-58.[pdf]


Thivierge, J.P. (2009). How does non-random spontaneous activity contribute to brain development? Neural Networks, 22, 901-912. [pdf] Covered in New Scientist.


Thivierge, J.P. (2008). Neural diversity creates a rich repertoire of brain activity. Communicative & Integrative Biology, 1. [pdf]

Shultz, T.R., Thivierge, J.P., & Laurin, K. (2008). Modeling the Characteristic-to-defining Features Shift in Concept Acquisition. Proceedings of the Annual Meeting of the Cognitive Science Society. 531-536. [pdf]

Tauskela, J.S., Fang, H., Hewitt, M., Brunette, E., Ahuja, T., Thivierge, J.P., Comas, T., & Mealing, G.A. (2008). Elevated synaptic activity preconditions neurons against an in vitro model of ischemia. Journal of Biological Chemistry, 283, 34667-34676. [pdf]

Thivierge, J.P., & Cisek, P. (2008). Non-periodic synchronization in heterogeneous networks of spiking neurons. Journal of Neuroscience, 28, 7968-7978. With cover illustration. [pdf]

Thivierge, J.P. (2008). Higher derivatives of ERP responses to cross-modality processing. Neuroinformatics, 6, 35-46. [pdf]


Thivierge, J.P. (2007). Functional Data Analysis of Cognitive Events in EEG. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2473-2478. [pdf]

Thivierge, J.P., & Balaban, E. (2007). Getting into shape: Optimal ligand gradients for axonal guidance. BioSystems, 90, 61-77. [pdf]

Shultz, T.R., Rivest, R., Egri, L., Thivierge, J.P., & Dandurand, F. Could knowledge-based neural learning be useful in developmental robotics? The case of KBCC. (2007). International Journal of Humanoid Robotics, 4, 245-279. [pdf]

Thivierge, J.P., & Marcus, G.F. (2007). The Topographic Brain: From Neural Connectivity to Cognition. Trends in Neurosciences, 30, 251-259. [pdf] With cover illustration.

Thivierge, J.P., Rivest, F., & Monchi, O. (2007). Spiking neurons, dopamine, and plasticity: Timing is everything, but concentration also matters. Synapse, 61, 375-390. [pdf]


Shultz, T. R., Rivest, F., Egri, L., & Thivierge, J. P. (2006). Knowledge-based learning with KBCC. Proceedings of the International Conference on Development and Learning. Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN. [pdf]

Thivierge, J.P., & Marcus, G.F. (2006). Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity. Proceedings of the IEEE International Joint Conference on Neural Networks, 9380-9388. [pdf]


Thivierge, J.P., Titone, D., & Shultz, T.R. (2005). Simulating frontotemporal pathways involved in lexical ambiguity resolution. In B.G. Bara, L. Barsalou, & Bucciarelli, M. (Eds). Proceedings of the Annual Meeting of the Cognitive Science Society. (pp.2178-2183). [pdf]

Thivierge, J.P., & Balaban, E., (2005). Faithful retinotopic maps with local optimum rules, axonal competition, and hebbian learning. Proceedings of the IEEE International Joint Conference on Neural Networks, 2760-2765. [pdf]

Thivierge, J.P., Shultz, T.R., & Balaban, E. (2005, conference proceedings). A unified model of thalamocortical axon guidance. Proceedings of the AAAI Annual Conference. (pp.3-14). [pdf]


Thivierge, J.P., Dandurand, F., & Shultz, T.R. (2004). Transferring domain rules in a constructive network: Introducing RBCC. Proceedings of the IEEE International Joint Conference on Neural Networks. 1403-1409. [pdf]

Thivierge, J.P., & Shultz, T.R. (2003). Information networks with modular experts. M.H. Hamza (Ed.) Proceedings of the IASTED Conference on Artificial Intelligence and Applications. (pp. 753-758). Zurich. [pdf]

Thivierge, J.P., Rivest, F., & Shultz, T.R. (2003). A dual-phase technique for pruning constructive networks. Proceedings of the IEEE International Joint Conference on Neural Networks. (pp. 559-564). [pdf]

Thivierge, J.P., & Shultz, T.R. (2002). Finding relevant knowledge: KBCC applied to DNA splice-junction determination. Proceedings of the IEEE International Joint Conference on Neural Networks, pp. 1401-1405. [pdf]

Thivierge, J.P., Plowright, C.M.S., & Chan, T. (2002). Visual recognition of half-patterns by bumblebees. Journal of Behavioral Processes, 59, 185-191. [pdf]

Plowright, C.M.S., Landry, F., Church, D., Heyding, J., Dupuis-Roy, N., Thivierge, J.P., & Simonds, V. (2000). A change in orientation: Recognition of rotated patterns by bumblebees. Journal of Insect Behavior, 14, 113-127. [pdf]