An Application of Spike-Timing-Dependent Plasticity to Readout Circuit for Liquid State Machine

摘要

Liquid state machine (LSM) is a neural system based on spiking neurons that implements a mapping between functions of time. A typical application of LSM is classification of time functions obtained observing the state of the liquid by using a memoryless r