Exploring neural principles with si elegans, a neuromimetic representation of the nematode caenorhabditis elegans

Axel Blau*, Frank Callaly, Seamus Cawley, Aedan Coffey, Alessandro De Mauro, Gorka Epelde, Lorenzo Ferrara, Finn Krewer, Carlo Liberale, Pedro Machado, Gregory Maclair, Thomas Martin McGinnity, Fearghal Morgan, Andoni Mujika, Alexey Petrushin, Gautier Robin, John Wade

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Biological neural systems are powerful, robust and highly adaptive computational entities that outperform conventional computers in almost all aspects of sensory-motor integration. Despite dramatic progress in information technology, there is a big performance discrepancy between artificial computational systems and brains in seemingly simple orientation and navigation tasks. In fact, no system exists that can faithfully reproduce the rich behavioural repertoire of the tiny worm Caenorhabditis elegans which features one of the simplest nervous systems in nature made of 302 neurons and about 8000 connections. The Si elegans project aims at providing this missing link. This article is sketching out the main platform components.

Original languageEnglish (US)
Title of host publicationNEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics
EditorsAna Rita Londral, Pedro Encarnacao
PublisherINSTICC Press
Pages189-194
Number of pages6
ISBN (Electronic)9789897580567
StatePublished - Jan 1 2014
Event2nd International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2014 - Rome, Italy
Duration: Oct 25 2014Oct 26 2014

Publication series

NameNEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics

Other

Other2nd International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2014
CountryItaly
CityRome
Period10/25/1410/26/14

Keywords

  • Brain-Inspired Computation
  • Nervous System Emulation
  • Neurocomputational Response Models on Field-Programmable Gate Arrays (FPGAs)
  • Soft Body Simulation
  • Virtual Embodiment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Neuroscience(all)

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