Blake Richards
Appointment
Fellow
Canada CIFAR AI Chair
National Program Committee member
Learning in Machines & Brains
Pan-Canadian AI Strategy
About
Appointed Canada CIFAR AI Chair – 2019
Blake Richards’ research is at the intersection of neuroscience and AI. His laboratory investigates universal principles of intelligence that apply to both natural and artificial agents. This includes work on predictive learning, memory systems, and bio-inspired networks.
Awards
- Arthur B. McDonald Fellowship, NSERC, 2022
- NSERC Discovery Accelerator Supplement, 2020
- Young Investigator Award, Canadian Association for Neuroscience, 2019
- Ontario Early Researcher Award, 2018
- Google Faculty Research, 2016
Relevant Publications
- Bakhtiari, S., Mineault, P., Lillicrap, T., Pack, C., & Richards, B. (2021). The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning. Advances in Neural Information Processing Systems, 34, 25164-25178.
- Payeur, A., Guerguiev, J., Zenke, F., Richards, B. A., & Naud, R. (2021). Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits. Nature neuroscience, 24(7), 1010-1019.
- Richards, B. A., Lillicrap, T. P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., ... & Kording, K. P. (2019). A deep learning framework for neuroscience. Nature neuroscience, 22(11), 1761-1770.
Richards, B.A., and T.P. Lillicrap (2019) “Dendritic solutions to credit assignment.” Current Opinion in Neurobiology, 54: 28-36.
Bartunov, S., A. Santoro, B.A. Richards, G.E. Hinton and T.P. Lillicrap (2018) “Assessing the scalability of biologically-motivated deep learning algorithms and architectures.” Neural Information Processing Systems.
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CIFAR is a registered charitable organization supported by the governments of Canada and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.