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

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Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans

In Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NeBICA, 189-194, 2014 , Rome, Italy

Authors: Axel Blau ¹ ; Frank Callaly ² ; Seamus Cawley ² ; Aedan Coffey ² ; Alessandro de Mauro ³ ; Gorka Epelde ³ ; Lorenzo Ferrara ¹ ; Finn Krewer ² ; Carlo Liberale ¹ ; Pedro Machado ⁴ ; Gregory Maclair ³ ; Thomas Martin McGinnity ⁴ ; Fearghal Morgan ² ; Andoni Mujika ³ ; Alexey Petrushin ¹ ; Gautier Robin ³ and John Wade ⁴

Affiliations: ¹ Fondazione Istituto Italiano di Tecnologia (IIT), Italy ; ² National University of Ireland, Ireland ; ³ Vicomtech-IK4, Spain ; ⁴ University of Ulster and Nottingham Trent University, United Kingdom

Keyword(s): Brain-Inspired Computation, Nervous System Emulation, Soft Body Simulation, Virtual Embodiment, Neurocomputational Response Models on Field-Programmable Gate Arrays (FPGAs).

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.

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Paper citation in several formats:

Blau, A.; Callaly, F.; Cawley, S.; Coffey, A.; de Mauro, A.; Epelde, G.; Ferrara, L.; Krewer, F.; Liberale, C.; Machado, P.; Maclair, G.; Martin McGinnity, T.; Morgan, F.; Mujika, A.; Petrushin, A.; Robin, G. and Wade, J. (2014). Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans. In Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2014) - NeBICA; ISBN 978-989-758-056-7, SciTePress, pages 189-194. DOI: 10.5220/0005190701890194

@conference{nebica14,
author={Axel Blau. and Frank Callaly. and Seamus Cawley. and Aedan Coffey. and Alessandro {de Mauro}. and Gorka Epelde. and Lorenzo Ferrara. and Finn Krewer. and Carlo Liberale. and Pedro Machado. and Gregory Maclair. and Thomas {Martin McGinnity}. and Fearghal Morgan. and Andoni Mujika. and Alexey Petrushin. and Gautier Robin. and John Wade.},
title={Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans},
booktitle={Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2014) - NeBICA},
year={2014},
pages={189-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005190701890194},
isbn={978-989-758-056-7},
}

TY - CONF

JO - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2014) - NeBICA
TI - Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans
SN - 978-989-758-056-7
AU - Blau, A.
AU - Callaly, F.
AU - Cawley, S.
AU - Coffey, A.
AU - de Mauro, A.
AU - Epelde, G.
AU - Ferrara, L.
AU - Krewer, F.
AU - Liberale, C.
AU - Machado, P.
AU - Maclair, G.
AU - Martin McGinnity, T.
AU - Morgan, F.
AU - Mujika, A.
AU - Petrushin, A.
AU - Robin, G.
AU - Wade, J.
PY - 2014
SP - 189
EP - 194
DO - 10.5220/0005190701890194
PB - SciTePress