A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks

A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks

This paper investigates spiking neural networks (SNN) for novel robotic controllers with the aim of improving accuracy in trajectory tracking. By emulating the operation of the human brain through the incorporation of temporal coding mechanisms, SNN offer greater adaptability and efficiency in infor...

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Bibliographic Details
Main Authors:	Dailin Marrero, John Kern, Claudio Urrea
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Sensors
Subjects:	spiking neural networks robotic control NEF Nengo
Online Access:	https://www.mdpi.com/1424-8220/24/2/491

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