Neuromorphic building blocks for locomotion pattern generation

Conference paper

Yang, Z. and Gandhi, V. 2022. Neuromorphic building blocks for locomotion pattern generation. 2022 International Conference on Machine Learning, Control, and Robotics (MLCR). Suzhou, China 29 - 31 Oct 2022 IEEE. https://doi.org/10.1109/MLCR57210.2022.00010
TypeConference paper
TitleNeuromorphic building blocks for locomotion pattern generation
AuthorsYang, Z. and Gandhi, V.
Abstract

The central pattern generators network (CPGs) plays an important role in motion control which enables creatures to interact with the world. A novel neuromorphic circuit model presented in this work can be used as the simple building blocks for prescribing more complex, coordinated motor patterns. The circuit demonstrates its capability in generating the activity frequency and duty cycle, independently adjustable by a small set of model parameters. The simulation outcomes also show that the circuit can implement the parallel and distributed algorithms for building the artificial CPGs to drive motors.

Middlesex University ThemeHealth & Wellbeing
Conference2022 International Conference on Machine Learning, Control, and Robotics (MLCR)
ISBN
Electronic978-1-6654-5459-9
PublisherIEEE
Publication dates
Print29 Oct 2022
Online08 Feb 2023
Publication process dates
Deposited07 Nov 2022
Accepted15 Jul 2022
Output statusPublished
Accepted author manuscript
Copyright Statement

Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/MLCR57210.2022.00010
LanguageEnglish
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