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Institute of Science and Technology (IST), Klosterneuburg, Austria
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Schedule
Wednesday, January 18, 2023
12:00 AM America/New_York
Domain
NeuroscienceHost
van Vreeswijk TNS
Duration
70 minutes
Synaptic plasticity is known to be a key player in the brain’s life-long learning abilities. However, due to experimental limitations, the nature of the local changes at individual synapses and their link with emerging network-level computations remain unclear. I will present a numerical, meta-learning approach to deduce plasticity rules from either neuronal activity data and/or prior knowledge about the network's computation. I will first show how to recover known rules, given a human-designed loss function in rate networks, or directly from data, using an adversarial approach. Then I will present how to scale-up this approach to recurrent spiking networks using simulation-based inference.
Tim Vogels
Institute of Science and Technology (IST), Klosterneuburg, Austria
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