A. Blau, F. Callaly, Seamus Cawley, Aedan Coffey, A. Mauro, Gorka Epelde, L. Ferrara, F. Krewer, C. Liberale, Pedro Machado, G. Maclair, T. McGinnity, F. Morgan, A. Mujika, A. Petrushin, Gautier Robin, J. Wade
{"title":"用秀丽隐杆线虫探索神经原理,秀丽隐杆线虫的神经模拟代表","authors":"A. Blau, F. Callaly, Seamus Cawley, Aedan Coffey, A. Mauro, Gorka Epelde, L. Ferrara, F. Krewer, C. Liberale, Pedro Machado, G. Maclair, T. McGinnity, F. Morgan, A. Mujika, A. Petrushin, Gautier Robin, J. Wade","doi":"10.5220/0005190701890194","DOIUrl":null,"url":null,"abstract":"Biological neural systems are powerful, robust and highly adaptive computational entities that outperformconventional computers in almost all aspects of sensory-motor integration. Despite dramatic progress ininformation technology, there is a big performance discrepancy between artificial computational systemsand brains in seemingly simple orientation and navigation tasks. In fact, no system exists that can faithfullyreproduce the rich behavioural repertoire of the tiny worm Caenorhabditis elegans which features one of thesimplest nervous systems in nature made of 302 neurons and about 8000 connections. The Si elegans projectaims at providing this missing link. This article is sketching out the main platform components.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans\",\"authors\":\"A. Blau, F. Callaly, Seamus Cawley, Aedan Coffey, A. Mauro, Gorka Epelde, L. Ferrara, F. Krewer, C. Liberale, Pedro Machado, G. Maclair, T. McGinnity, F. Morgan, A. Mujika, A. Petrushin, Gautier Robin, J. Wade\",\"doi\":\"10.5220/0005190701890194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Biological neural systems are powerful, robust and highly adaptive computational entities that outperformconventional computers in almost all aspects of sensory-motor integration. Despite dramatic progress ininformation technology, there is a big performance discrepancy between artificial computational systemsand brains in seemingly simple orientation and navigation tasks. In fact, no system exists that can faithfullyreproduce the rich behavioural repertoire of the tiny worm Caenorhabditis elegans which features one of thesimplest nervous systems in nature made of 302 neurons and about 8000 connections. The Si elegans projectaims at providing this missing link. This article is sketching out the main platform components.\",\"PeriodicalId\":167011,\"journal\":{\"name\":\"International Congress on Neurotechnology, Electronics and Informatics\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Congress on Neurotechnology, Electronics and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0005190701890194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Congress on Neurotechnology, Electronics and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005190701890194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans
Biological neural systems are powerful, robust and highly adaptive computational entities that outperformconventional computers in almost all aspects of sensory-motor integration. Despite dramatic progress ininformation technology, there is a big performance discrepancy between artificial computational systemsand brains in seemingly simple orientation and navigation tasks. In fact, no system exists that can faithfullyreproduce the rich behavioural repertoire of the tiny worm Caenorhabditis elegans which features one of thesimplest nervous systems in nature made of 302 neurons and about 8000 connections. The Si elegans projectaims at providing this missing link. This article is sketching out the main platform components.