Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks

Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks

Liquid State Machines (LSMs) are computing reservoirs composed of recurrently connected Spiking Neural Networks which have attracted research interest for their modeling capacity of biological structures and as promising pattern recognition tools suitable for their implementation in neuromorphic pro...

Full description

Bibliographic Details
Main Authors: Alberto Patiño-Saucedo, Horacio Rostro-González, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Neuroscience
Subjects:
Liquid State Machine
N-MNIST
neuromorphic hardware
spiking neural network
SpiNNaker
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.819063/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.819063/full

Similar Items