Jean-Philippe Thivierge, University of Ottawa

Research

recurrent neural networks supervised learning predictive coding

Latest papers

Paradoxical inhibition of autonomic output following cortical suppression: When inhibiting an inhibitor results in more (not less) inhibition.
Neuropsychologia · 2026 · senior author
Manifold-constrained plasticity enables stable learning in recurrent neural circuits.
PLoS computational biology · 2026 · senior author
Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks.
Nature communications · 2026 · senior author

All 32 publications

Latest funding

Improving training and robustness in artificial recurrent networks with supervised and predictive learning
NSERC · 2024 · Principal investigator
$40,000
Dynamical systems for non-invasive control of neural activity
NSERC · 2022 · Co-investigator
$300,000
Optimal Readout of Neural Population Activity
NSERC · 2018 · Principal investigator
$229,164

All 5 grants and awards

32 publications.

01

Paradoxical inhibition of autonomic output following cortical suppression: When inhibiting an inhibitor results in more (not less) inhibition.

Braithwaite JJ, Ruffini G, Farrelly H, Salvador R, Dewe H, Joshi SD, Watson DG, Thivierge JP

Neuropsychologia2026Senior author

DOI: 10.1016/j.neuropsychologia.2026.109519 PMID: 42242668

02

Manifold-constrained plasticity enables stable learning in recurrent neural circuits.

Godin C, Thivierge JP

PLoS computational biology2026Senior author

DOI: 10.1371/journal.pcbi.1014719 PMID: 42640956

03

Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks.

Pilzak A, Pennington B, Thivierge JP

Nature communications2026Senior author

DOI: 10.1038/s41467-026-70920-3 PMID: 41857014

04

Phase gradient modulation of spiral waves in cortical circuits using the complex Ginzburg-Landau equation.

Urban S, Thivierge JP

Journal of biological physics2026Senior author

DOI: 10.1007/s10867-025-09699-1 PMID: 41559327

05

Surfing brain waves without sinking: A commentary on "Entrainment by transcranial alternating current stimulation: Insight from models of cortical oscillations and dynamical systems theory" by M. Madadi Asl and A. Valizadeh.

Lefebvre J, Pariz A, Thivierge JP, Hutt A

Physics of life reviews2025

DOI: 10.1016/j.plrev.2025.08.009 PMID: 40882452

06

Unsupervised pipeline for the identification of cortical excitatory and inhibitory neurons in high-density multielectrode arrays with ground-truth validation.

Giraud E, Lynn M, Vincent-Lamarre P, Beique JC, Thivierge JP

eLife2025Senior author

DOI: 10.7554/elife.106557 PMID: 40875395

07

Control of Inhibition-Stabilized Oscillations in Wilson-Cowan Networks with Homeostatic Plasticity.

Godin C, Krause MR, Vieira PG, Pack CC, Thivierge JP

Entropy (Basel, Switzerland)2025Senior author

DOI: 10.3390/e27020215 PMID: 40003212

08

Role of short-term plasticity and slow temporal dynamics in enhancing time series prediction with a brain-inspired recurrent neural network.

Pilzak A, Calderini M, Berberian N, Thivierge JP

Chaos (Woodbury, N.Y.)2025Senior author

DOI: 10.1063/5.0233158 PMID: 39977307

09

A high-density multi-electrode platform examining the effects of radiation on in vitro cortical networks.

Boucher-Routhier M, Szanto J, Nair V, Thivierge JP

Scientific reports2024Senior author

DOI: 10.1038/s41598-024-71038-6 PMID: 39210021

10

A deep generative adversarial network capturing complex spiral waves in disinhibited circuits of the cerebral cortex.

Boucher-Routhier M, Thivierge JP

BMC neuroscience2023Senior author

DOI: 10.1186/s12868-023-00792-6 PMID: 36964493

Improving training and robustness in artificial recurrent networks with supervised and predictive learning

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Thivierge, Jean-Philippe

Keywords: recurrent neural networks; supervised learning; predictive coding

$40,000

Dynamical systems for non-invasive control of neural activity

Co-investigatorNSERC2022Discovery Horizons

Principal investigators: Pack, Christopher

Keywords: dynamical systems; transcranial brain stimulation; neurophysiology; Parkinson's disease; neurological disorders; oscillations

$300,000

Optimal Readout of Neural Population Activity

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Thivierge, Jean-Philippe

$229,164

Oscillations and Stimulus Discrimination in Networks of Spiking Neurons

Principal investigatorNSERC2013Discovery Grants Program - Individual

Principal investigators: Thivierge, JeanPhilippe

$165,000

Computer Simulations of Neuronal Circuits and Memory

Principal investigatorNSERC2013Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Thivierge, JeanPhilippe

$20,072

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Cellular and Molecular Medicine
School of Psychology
Mathematics (St. George Campus)
Psychology

Co-authors at University of Ottawa, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Jean-Claude Béïque

Cellular and Molecular Medicine

1 shared papers, latest 2025

Marzia Martina

Cellular and Molecular Medicine

1 shared papers, latest 2021

Jérémie Lefebvre

Mathematics (St. George Campus)

1 shared papers, latest 2025

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2024

Subject: Prospective PhD student: recurrent neural networks Dear Professor Thivierge, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Paradoxical inhibition of autonomic output following cortical suppression: When inhibiting an inhibitor results in more (not less) inhibition." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Improving training and robustness in artificial recurrent networks with supervised and predictive learning" (2024), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]

Jean-Philippe Thivierge

Research

Latest papers

Latest funding

Paradoxical inhibition of autonomic output following cortical suppression: When inhibiting an inhibitor results in more (not less) inhibition.

Manifold-constrained plasticity enables stable learning in recurrent neural circuits.

Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks.

Phase gradient modulation of spiral waves in cortical circuits using the complex Ginzburg-Landau equation.

Surfing brain waves without sinking: A commentary on "Entrainment by transcranial alternating current stimulation: Insight from models of cortical oscillations and dynamical systems theory" by M. Madadi Asl and A. Valizadeh.

Unsupervised pipeline for the identification of cortical excitatory and inhibitory neurons in high-density multielectrode arrays with ground-truth validation.

Control of Inhibition-Stabilized Oscillations in Wilson-Cowan Networks with Homeostatic Plasticity.

Role of short-term plasticity and slow temporal dynamics in enhancing time series prediction with a brain-inspired recurrent neural network.

A high-density multi-electrode platform examining the effects of radiation on in vitro cortical networks.

A deep generative adversarial network capturing complex spiral waves in disinhibited circuits of the cerebral cortex.

Improving training and robustness in artificial recurrent networks with supervised and predictive learning

Dynamical systems for non-invasive control of neural activity

Optimal Readout of Neural Population Activity

Oscillations and Stimulus Discrimination in Networks of Spiking Neurons

Computer Simulations of Neuronal Circuits and Memory

Frequent collaborators

Jean-Claude Béïque

Vanessa Taler

Marzia Martina

Jérémie Lefebvre