蜻蜓神经系统中的坐标变换建模

Claire Plunkett, Frances S. Chance
{"title":"蜻蜓神经系统中的坐标变换建模","authors":"Claire Plunkett, Frances S. Chance","doi":"10.1145/3584954.3584959","DOIUrl":null,"url":null,"abstract":"Coordinate transformations are a fundamental operation that must be performed by any animal relying upon sensory information to interact with the external world. We present a neural network model that performs a coordinate transformation from the dragonfly eye’s frame of reference to the body’s frame of reference while hunting. We demonstrate that the model successfully calculates turns required for interception, and discuss how future work will compare our model with biological dragonfly neural circuitry and guide neural-inspired neuromorphic implementations of coordinate transformations.","PeriodicalId":375527,"journal":{"name":"Proceedings of the 2023 Annual Neuro-Inspired Computational Elements Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling Coordinate Transformations in the Dragonfly Nervous System\",\"authors\":\"Claire Plunkett, Frances S. Chance\",\"doi\":\"10.1145/3584954.3584959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Coordinate transformations are a fundamental operation that must be performed by any animal relying upon sensory information to interact with the external world. We present a neural network model that performs a coordinate transformation from the dragonfly eye’s frame of reference to the body’s frame of reference while hunting. We demonstrate that the model successfully calculates turns required for interception, and discuss how future work will compare our model with biological dragonfly neural circuitry and guide neural-inspired neuromorphic implementations of coordinate transformations.\",\"PeriodicalId\":375527,\"journal\":{\"name\":\"Proceedings of the 2023 Annual Neuro-Inspired Computational Elements Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2023 Annual Neuro-Inspired Computational Elements Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3584954.3584959\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 Annual Neuro-Inspired Computational Elements Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584954.3584959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

坐标变换是任何动物依靠感官信息与外部世界互动的基本操作。我们提出了一个神经网络模型,该模型在蜻蜓狩猎时从眼睛的参照系到身体的参照系进行坐标转换。我们证明了该模型成功地计算了拦截所需的转弯,并讨论了未来的工作将如何将我们的模型与生物蜻蜓神经回路进行比较,并指导神经启发的神经形态实现坐标转换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Modeling Coordinate Transformations in the Dragonfly Nervous System
Coordinate transformations are a fundamental operation that must be performed by any animal relying upon sensory information to interact with the external world. We present a neural network model that performs a coordinate transformation from the dragonfly eye’s frame of reference to the body’s frame of reference while hunting. We demonstrate that the model successfully calculates turns required for interception, and discuss how future work will compare our model with biological dragonfly neural circuitry and guide neural-inspired neuromorphic implementations of coordinate transformations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Sigma-Delta Networks for Robot Arm Control Easy and efficient spike-based Machine Learning with mlGeNN SupportHDC: Hyperdimensional Computing with Scalable Hypervector Sparsity Exploring Information-Theoretic Criteria to Accelerate the Tuning of Neuromorphic Level-Crossing ADCs Demonstration of neuromorphic sequence learning on a memristive array
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1