Exploring Neural Principles with Si elegans, a NeuromimeticRepresentation 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 Baptista Machado; Gregory Maclair; Thomas Martin McGinnity; Fearghal Morgan; Andoni Mujika; Alexey Petrushin; Gautier Robin; John Wade

Exploring Neural Principles with Si elegans, a NeuromimeticRepresentation 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 Baptista Machado, Gregory Maclair, Thomas Martin McGinnity, Fearghal Morgan, Andoni Mujika, Alexey Petrushin, Gautier Robin, John Wade

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

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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	SciTePress
Pages	189-194
Number of pages	6
ISBN (Print)	978-989-758-056-7
Publication status	Published (in print/issue) - 26 Oct 2014
Event	NEUROTECHNIX 2014 - 2nd International Congress on Neurotechnology, Electronics and Informatics - Rome, Italy Duration: 26 Oct 2014 → …

Conference

Conference	NEUROTECHNIX 2014 - 2nd International Congress on Neurotechnology, Electronics and Informatics
Period	26/10/14 → …

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Blau, A., Callaly, F., Cawley, S., Coffey, A., De Mauro, A., Epelde, G., Ferrara, L., Krewer, F., Liberale, C., Baptista 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 NeuromimeticRepresentation of the Nematode Caenorhabditis elegans. In Unknown Host Publication (pp. 189-194). SciTePress.

@inproceedings{7acb878e185a441daafa4b8751a05279,

title = "Exploring Neural Principles with Si elegans, a NeuromimeticRepresentation of the Nematode Caenorhabditis elegans",

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.",

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

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 {Baptista Machado}, Pedro and Gregory Maclair and McGinnity, {Thomas Martin} and Fearghal Morgan and Andoni Mujika and Alexey Petrushin and Gautier Robin and John Wade",

year = "2014",

month = oct,

day = "26",

language = "English",

isbn = "978-989-758-056-7",

pages = "189--194",

booktitle = "Unknown Host Publication",

publisher = "SciTePress",

address = "Portugal",

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

}

Blau, A, Callaly, F, Cawley, S, Coffey, A, De Mauro, A, Epelde, G, Ferrara, L, Krewer, F, Liberale, C, Baptista Machado, P, Maclair, G, McGinnity, TM, Morgan, F, Mujika, A, Petrushin, A, Robin, G & Wade, J 2014, Exploring Neural Principles with Si elegans, a NeuromimeticRepresentation of the Nematode Caenorhabditis elegans. in Unknown Host Publication. SciTePress, pp. 189-194, NEUROTECHNIX 2014 - 2nd International Congress on Neurotechnology, Electronics and Informatics, 26/10/14.

TY - GEN

T1 - Exploring Neural Principles with Si elegans, a NeuromimeticRepresentation of the Nematode Caenorhabditis elegans

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 - Baptista Machado, Pedro

AU - Maclair, Gregory

AU - McGinnity, Thomas Martin

AU - Morgan, Fearghal

AU - Mujika, Andoni

AU - Petrushin, Alexey

AU - Robin, Gautier

AU - Wade, John

PY - 2014/10/26

Y1 - 2014/10/26

N2 - 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.

AB - 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.

KW - Brain-Inspired Computation

KW - Nervous System Emulation

KW - Soft Body Simulation

KW - Virtual Embodiment

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

M3 - Conference contribution

SN - 978-989-758-056-7

SP - 189

EP - 194

BT - Unknown Host Publication

PB - SciTePress

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

Y2 - 26 October 2014

ER -

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

Abstract

Conference

Keywords

UN SDGs

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