‍ 🎯 Deep Learning and Neural Networks Symposium and Workshop

👨🏻‍🎓 Speaker introduction:

Professor Wulfram Gerstner,
Director of the Laboratory of Computational Neuroscience (LCN) at the EPFL

Title: Eligibility traces and three-factor rules of synaptic plasticity.

Abstract: Hebbian plasticity combines two factors: presynaptic activity must occur together with some postsynaptic variable (spikes, voltage deflection, calcium elevation ...). In three-factor learning rules the combination of the two Hebbian factors is not sufficient, but leaves a trace at the synapses (eligibility trace) which decays over a few seconds; only if a third factor (neuromodulator signal) is present, either simultaneously or within a short a delay, the actual change of the synapse via long-term plasticity is triggered. After a review of classic theories and recent evidence of plasticity traces from plasticity experiments in rodents, I will discuss two studies from my own lab: the first one is a modeling study of reward-based learning with spiking neurons using an actor-critic architecture; the second one is a joint theory-experimental study showing evidence for eligibility traces in human behavior and pupillometry. Extensions from reward-based learning to surprise-based learning will be indicated.

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⚙️ Organizers: Institute for Cognitive and Brain Sciences, Shahid Beheshti University and Loop Academy


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