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

doi:10.5220/0005190701890194

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

Bioscience

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English (US)
Title of host publication	NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics
Editors	Ana Rita Londral, Pedro Encarnacao
Publisher	INSTICC Press
Pages	189-194
Number of pages	6
ISBN (Electronic)	9789897580567
DOIs	https://doi.org/10.5220/0005190701890194
State	Published - 2014
Event	2nd International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2014 - Rome, Italy Duration: Oct 25 2014 → Oct 26 2014

Publication series

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

Other

Other	2nd International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2014
Country/Territory	Italy
City	Rome
Period	10/25/14 → 10/26/14

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
General Neuroscience

Access to Document

10.5220/0005190701890194

Cite this

Blau, A., Callaly, F., Cawley, S., Coffey, A., De Mauro, A., Epelde, G., Ferrara, L., Krewer, F., Liberale, C., Machado, P., Maclair, G., McGinnity, T. M., Morgan, F., Mujika, A., Petrushin, A., Robin, G., & Wade, J. (2014). Exploring neural principles with si elegans, a neuromimetic representation of the nematode caenorhabditis elegans. In A. R. Londral, & P. Encarnacao (Eds.), NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics (pp. 189-194). (NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics). INSTICC Press. https://doi.org/10.5220/0005190701890194

Blau, Axel ; Callaly, Frank ; Cawley, Seamus et al. / Exploring neural principles with si elegans, a neuromimetic representation of the nematode caenorhabditis elegans. NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics. editor / Ana Rita Londral ; Pedro Encarnacao. INSTICC Press, 2014. pp. 189-194 (NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics).

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

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.",

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

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

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doi = "10.5220/0005190701890194",

language = "English (US)",

series = "NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics",

publisher = "INSTICC Press",

pages = "189--194",

editor = "Londral, {Ana Rita} and Pedro Encarnacao",

booktitle = "NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics",

note = "2nd International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2014 ; Conference date: 25-10-2014 Through 26-10-2014",

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Blau, A, Callaly, F, Cawley, S, Coffey, A, De Mauro, A, Epelde, G, Ferrara, L, Krewer, F, Liberale, C, Machado, P, Maclair, G, McGinnity, TM, Morgan, F, Mujika, A, Petrushin, A, Robin, G & Wade, J 2014, Exploring neural principles with si elegans, a neuromimetic representation of the nematode caenorhabditis elegans. in AR Londral & P Encarnacao (eds), NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics. NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics, INSTICC Press, pp. 189-194, 2nd International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2014, Rome, Italy, 10/25/14. https://doi.org/10.5220/0005190701890194

Exploring neural principles with si elegans, a neuromimetic representation of the nematode caenorhabditis elegans. / Blau, Axel; Callaly, Frank; Cawley, Seamus et al.
NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics. ed. / Ana Rita Londral; Pedro Encarnacao. INSTICC Press, 2014. p. 189-194 (NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Blau, Axel

AU - Callaly, Frank

AU - Cawley, Seamus

AU - Coffey, Aedan

AU - De Mauro, Alessandro

AU - Epelde, Gorka

AU - Ferrara, Lorenzo

AU - Krewer, Finn

AU - Liberale, Carlo

AU - Machado, Pedro

AU - Maclair, Gregory

AU - McGinnity, Thomas Martin

AU - Morgan, Fearghal

AU - Mujika, Andoni

AU - Petrushin, Alexey

AU - Robin, Gautier

AU - Wade, John

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AB - 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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KW - Nervous System Emulation

KW - Neurocomputational Response Models on Field-Programmable Gate Arrays (FPGAs)

KW - Soft Body Simulation

KW - Virtual Embodiment

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M3 - Conference contribution

AN - SCOPUS:84909953281

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SP - 189

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

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A2 - Encarnacao, Pedro

PB - INSTICC Press

T2 - 2nd International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2014

Y2 - 25 October 2014 through 26 October 2014

ER -

Blau A, Callaly F, Cawley S, Coffey A, De Mauro A, Epelde G et al. Exploring neural principles with si elegans, a neuromimetic representation of the nematode caenorhabditis elegans. In Londral AR, Encarnacao P, editors, NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics. INSTICC Press. 2014. p. 189-194. (NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics). doi: 10.5220/0005190701890194

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

Abstract

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Keywords

ASJC Scopus subject areas

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