Spike timing dependent plasticity (STDP) modifies synaptic strength depending on the relative timing of pre-synaptic input and post-synaptic spikes. The effects of STDP in computational models often lead to physiologically inaccurate or unstable distributions of synaptic strength. Examples of stable but physiologically unrealistic synaptic strength distributions include bimodal distributions and highly skewed distributions. Connection strengths also tend to be excessively unstable for learning. Preventing this “run-away” dynamics using basic STDP mechanisms requires fine tuning of learning rules and ...
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