Triplet-based spike timing dependent plasticity (TSTDP) modeling using VHDL-AMS

摘要

Spike Timing Dependent Plasticity is one of the synaptic plasticity rules that plays an important role in learning and memory in the brain. There are two rules to describe STOP; the conventional one is pair-based STOP (PSTDP) and the other one is triplet-based STOP (TSTDP) that is a powerful synaptic plasticity rule and acts beyond the classical rule. Although PSTDP fails to reproduce some of the experimental observations, TSTDP is capable of reproducing them. In this paper, a VHDL-AMS based TSTDP model is presented which exhibits the behavioral model of triplet-based spike timing dependent plasticity. The proposed model is simulated using Ansoft Simplorer. This model has similar results to the mentioned experimental observations and is capable of being employed in different analog or digital implementations of neuromorphic systems.