see CV or Google Scholar for complete and up-to-date list

Selected Preprints

Selected Published Articles

Ezekiel Williams, Colin Bredenberg, Guillaume Lajoie

ICML 2023

Damjan Kalajdzievski, Ximeng Mao, Pascal Fortier-Poisson, Guillaume Lajoie*, Blake Richards*

TMLR 2023

Marco Bonizzato, Sandrine L. Cote, Elena Massai, Rose Guay-Hottin, Samuel Laferriere, Stephan Quessy, Guillaume Lajoie*, Marina Martinez*, Numa Dancause

Cell Reports Medecine 2023

Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie

NeurIPS 2022

Sarthak Mittal, Yoshua Bengio, Guillaume Lajoie

NeurIPS 2022

Laura E. Suarez, Yossi Yovel, Martijn P. van den Heuvel, Olaf Sporns, Yaniv Assaf, Guillaume Lajoie, Bratislav Misic

eLife (2022)

Maximilian Puelma Touzel, Paul Cisek, Guillaume Lajoie

PLoS Computationa Biology (2022)

Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, and Eric Shea-Brown

Nature Machine Intelligence (2022)

Jessie Huang, Erica Busch, Michal Gerasimiuk, Tom Wallenstein, Guillaume Lajoie, Guy Wolf, Nick Turk-Browne, and Smita Krishnaswamy


Mohammad Pezeshki, Amartya Mitra, Yoshua Bengio, and Guillaume Lajoie 

ICML 2022

Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie, 

(spotlight presentation) ICLR 2022

Tristan Deleu, David Kanaa, Leo Feng, Giancarlo Kerg, Yoshua Bengio, Guillaume Lajoie, Pierre-Luc Bacon, 

(spotlight presentation), ICLR 2022 

Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman and Guillaume Lajoie,

Frontiers in Applied Mathematics and Statistics, 2022

M. Pezeshki, S.O. Kaba, Y. Bengio, A. Courville, D. Precup, G. Lajoie, NeurIPS 2021

A. Baratin, T. George, C. Laurent, V. Thomas, D. Hjelm, G. Lajoie, P. Vincent, S. Lacoste-Julien, (AISTAT) 2021

Olivier Tessier-Lariviere, Luke Prince, Pascal Fortier-Poisson, Lorenz Wernisch, Emil Hewage, Oli Armitage, Guillaume Lajoie*, Blake Richards*, 10th International IEEE EMBS Conference On Neural Engineering (NER21) 2021

*co-senior authors

E. Suarez, B.A. Richards, G. Lajoie, B. Misic, Nature Machine Intelligence 3, 771–786 (2021).

Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti, Eric Shea-Brown, Nat Commun 12, 1417 (2021).

German Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James Kozloski, Pablo Polosecki, Guillaume Lajoie, David Cox, Silvina Ponce Dawson, Guillermo Cecchi, Irina Rish, Neural Computations, (2021)

Samuel Laferrière, Marco Bonizzato, Numa Dancause, and Guillaume Lajoie, IEEE Brain BrainInsight, Issue 2, (2020). 

Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio, Guillaume Lajoie, Accepted at Neural Information Processing Systems (NeurIPS), (2020).

Learning complex motor control with neurostimulation: a hierarchical and adaptive algorithm to optimally explore neural maps

Samuel Laferrière, Marco Bonizzato, Sandrine Côté, Numa Dan- cause, and Guillaume Lajoie, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 6, pp. 1452-1460, June 2020

Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Net- works with Attention over Modules

S. Mittal, A. Lamb, A. Goyal, V. Voleti, M. Shanahan, G. Lajoie, M. Mozer, Y. Bengio, International Conference of Machine Learning (ICML), (2020).

Low-dimensional dynamics of encoding and learning in recurrent neural networks

Stefan Horoi, Victor Geadah, Guy Wolf, and Guillaume Lajoie, Advances in Artificial Intelligence (proceedings of CanadianAI 2020), Chapter No: 27, DOI:10.1007/978-3-030-47358-7_27

Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics

Giancarlo Kerg, Kyle Goyette, Max- imilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, and Guillaume Lajoie, 33rd Conference on Neural Information Processing Systems (NeurIPS), (2019), 1905.12080.

Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional Brain-Machine Interface

Guillaume Lajoie, Nedialko Krouchev, John F. Kalaska, Adrienne Fairhall, Eberhard E. Fetz, PLoS Comput. Biol., (2017), Vol. 13, No. 2, Pages e1005343- 34, DOI:10.1371/journal.pcbi.1005343

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), Vol. 12, No. 12, Pages e1005258-30, DOI: 10.1371/journal.pcbi. 1005258

Dynamic signal tracking in a simple V1 spiking model

Guillaume Lajoie, Lai-Sang Young, Neural Computation, (2016), Vol. 28, No. 9, Pages 1985-2010, DOI: 10.1162/NECO_a_00868

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), DOI: 10.1007/s10827-016-0619-3

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

Guillaume Lajoie, Jean-Philippe Thivierge, Eric Shea-Brown, Frontiers in Computational Neuro- science, (2014), vol. 8, pp 1-10, DOI: 10.3389/fncom.2014.00123

Chaos and reliability in balanced spiking networks with temporal drive

 Guillaume Lajoie, Kevin K. Lin, Eric Shea-Brown, Phys. Rev. E, (2013), vol. 87 (5), p. 052901, DOI: 10.1103/ PhysRevE.87.052901

Shared Inputs, Entrainment, and Desynchrony in Elliptic Bursters: From Slow Pas- sage to Discontinuous Circle Maps

Guillaume Lajoie, Eric Shea-Brown, SIAM Journal of Applied Dynamical Systems, (2011), vol. 10, p. 1232, DOI: 10.1137/100811726