Computational Efficiency of a Modular Reservoir Network for Image Recognition

Liquid state machine (LSM) is a type of recurrent spiking network with a strong relationship to neurophysiology and has achieved great success in time series processing. However, the computational cost of simulations and complex dynamics with time dependency limit the size and functionality of LSMs....

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Bibliographic Details
Main Authors: Yifan Dai, Hideaki Yamamoto, Masao Sakuraba, Shigeo Sato
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.594337/full