Flexible Couplings: Diffusing Neuromodulators and Adaptive Robotics

Author:

Philippides Andy1,Husbands Phil1,Smith Tom2,O'Shea Michael2

Affiliation:

1. Centre for Computational Neuroscience and Robotics (CCNR), Department of Informatics, University of Sussex, Brighton UK

2. Centre for Computational Neuroscience and Robotics (CCNR), Department of Biology, University of Sussex, Brighton UK

Abstract

Recent years have seen the discovery of freely diffusing gaseous neurotransmitters, such as nitric oxide (NO), in biological nervous systems. A type of artificial neural network (ANN) inspired by such gaseous signaling, the GasNet, has previously been shown to be more evolvable than traditional ANNs when used as an artificial nervous system in an evolutionary robotics setting, where evolvability means consistent speed to very good solutions—here, appropriate sensorimotor behavior-generating systems. We present two new versions of the GasNet, which take further inspiration from the properties of neuronal gaseous signaling. The plexus model is inspired by the extraordinary NO-producing cortical plexus structure of neural fibers and the properties of the diffusing NO signal it generates. The receptor model is inspired by the mediating action of neurotransmitter receptors. Both models are shown to significantly further improve evolvability. We describe a series of analyses suggesting that the reasons for the increase in evolvability are related to the flexible loose coupling of distinct signaling mechanisms, one “chemical” and one “electrical.”

Publisher

MIT Press - Journals

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Actuating mechanical arms coupled to an array of FitzHugh–Nagumo neuron circuits;The European Physical Journal Special Topics;2022-11-21

2. Nitric Oxide Neuromodulation;Encyclopedia of Computational Neuroscience;2022

3. Embodied Robot Models for Interdisciplinary Emotion Research;IEEE Transactions on Affective Computing;2021-04-01

4. Are Artificial Dendrites Useful in Neuro-Evolution?;Artificial Life;2021

5. Maximizing adaptive power in neuroevolution;PLOS ONE;2018-07-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3