Spike Time Dependent Plasticity
Simon explains how spike time dependent plasticity (STDP) strengthens or weakens synaptic connections based on relative spike timings, aligning with Donald Hebb's original postulate. The discussion delves into the critical role of spike times in enhancing connections and challenges the feasibility of rate encoding in neural networks.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer
Related Questions
What is Spike Timing-Dependent Plasticity (STDP)?
How do synapses strengthen during Long-Term Potentiation (LTP)?
Is it correct that if a neuron (1) is activated by another neuron (A) that it's predecessor (B), then there is Long-Term Potentiation (LTP) between 1-A and Long-Term Depression (LTD) between 1-B?