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Choinière, L., Guay-Hottin, R., Picard, R., Lajoie, G., Bonizzato, M., & Dancause, N. (2024). Gaussian-process-based Bayesian optimization for neurostimulation interventions in rats. STAR Protocols, 5(1), 102885 (28 pages). Disponible
Bonizzato, M., Guay Hottin, R., Côté, S. L., Massai, E., Choinière, L., Macar, U., Laferrière, S., Sirpal, P., Quessy, S., Lajoie, G., Martinez, M., & Dancause, N. (2023). Autonomous optimization of neuroprosthetic stimulation parameters that drive the motor cortex and spinal cord outputs in rats and monkeys. Cell Reports Medicine, 4(4), 101008 (24 pages). Lien externe
Bergeron, D., Iorio-Morin, C., Bonizzato, M., Lajoie, G., Orr Gaucher, N., Racine, É., & Weil, A. G. (2023). Use of Invasive Brain-Computer Interfaces in Pediatric Neurosurgery: Technical and Ethical Considerations. Journal of Child Neurology, 38(3-4), 223-238. Lien externe
Laferrière, S., Bonizzato, M., Côté, S. L., Dancause, N., & Lajoie, G. (2020). Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(6), 1452-1460. Lien externe
Kerg, G., Goyette, K., Touzel, M. P., Gidel, G., Vorontsov, E., Bengio, Y., & Lajoie, G. (décembre 2019). Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics [Communication écrite]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C.. Lien externe
