Brains, Minds + Machines Seminar Series: Communicating gradients for learning using activity dynamics

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April 26, 2019 - 4:00 pm to 5:00 pm
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Speaker/s: 

Blake Richards, Assistant Professor, Associate Fellow of the Canadian Institute for Advanced Research (CIFAR)

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Abstract:  Theoretical and empirical results in the neural networks literature demonstrate that effective learning at a real-world scale requires changes to synaptic weights that approximate the gradient of a global loss function. For neuroscientists, this means that the brain must have mechanisms for communicating loss gradients between regions, either explicitly or implicitly. Here, I describe our research into potential means of communicating loss gradients using the dynamics of activity in a population of neurons. Using a combination of computational modelling and two-photon imaging data, I will present evidence suggesting that the neocortex may encode loss gradients related to motor learning and sensory prediction using the temporal derivative of activity in populations of pyramidal neurons.

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Details

MIT Bldg 46-3002, 43 Vassar Street, Cambridge MA 02139
Date: 
April 26, 2019
Time: 
4:00 pm to 5:00 pm
Venue: 
Singleton Auditorium(46-3002)
Address: 

MIT Bldg 46-3002, 43 Vassar Street, Cambridge MA 02139