Spike-Based Learning with Multi-compartment Model
摘要
A multi-compartment neuron model [1, 2] is a mathematical representation of a neuron that takes into account the spatially distributed nature of neuronal signaling. Unlike the traditional point neuron models, multi-compartment models divide the neuron into several compartments, each with its own set of electrical properties.