Seminar · Computational Neuroscience
Interacting synapses stabilise both learning and neuronal dynamics in biological networks
Tim Vogels · IST Austria
Wed, Mar 3, 2021 · 18:30 UTC
Distinct synapses influence one another when they undergo changes, with unclear consequences for neuronal dynamics and function. Here we show that synapses can interact such that excitatory currents are naturally normalised and balanced by inhibitory inputs. This happens when classical spike-timing dependent synaptic plasticity rules are extended by additional mechanisms that incorporate the influence of neighbouring synaptic currents and regulate the amplitude of efficacy changes accordingly. The resulting control of excitatory plasticity by inhibitory activation, and vice versa, gives rise t