Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks
Basile Confavreux,
Everton J. Agnes,
Friedemann Zenke
et al.
Abstract:Synaptic plasticity is a key player in the brain’s life-long learning abilities. However, due to experimental limitations, the mechanistic link between synaptic plasticity rules and the network-level computations they enable remain opaque. Here we use evolutionary strategies (ES) to meta-learn local co-active plasticity rules in large recurrent spiking net-works, using parameterizations of increasing complexity. We discover rules that robustly stabilize network dynamics for all four synapse types acting in iso… Show more
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