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 proceedingConference contribution

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages189-194
Number of pages6
Publication statusPublished - 26 Oct 2014
EventNEUROTECHNIX 2014 - 2nd International Congress on Neurotechnology, Electronics and Informatics - Rome, Italy
Duration: 26 Oct 2014 → …

Conference

ConferenceNEUROTECHNIX 2014 - 2nd International Congress on Neurotechnology, Electronics and Informatics
Period26/10/14 → …

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Neurology
Neurons
Brain
Navigation

Keywords

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

Cite this

Blau, A., Callaly, F., Cawley, S., Coffey, A., De Mauro, A., Epelde, G., ... Wade, J. (2014). Exploring Neural Principles with Si elegans, a NeuromimeticRepresentation of the Nematode Caenorhabditis elegans. In Unknown Host Publication (pp. 189-194)
Blau, Axel ; Callaly, Frank ; Cawley, Seamus ; Coffey, Aedan ; De Mauro, Alessandro ; Epelde, Gorka ; Ferrara, Lorenzo ; Krewer, Finn ; Liberale, Carlo ; Baptista Machado, Pedro ; Maclair, Gregory ; McGinnity, Thomas Martin ; Morgan, Fearghal ; Mujika, Andoni ; Petrushin, Alexey ; Robin, Gautier ; Wade, John. / Exploring Neural Principles with Si elegans, a NeuromimeticRepresentation of the Nematode Caenorhabditis elegans. Unknown Host Publication. 2014. pp. 189-194
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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.",
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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",
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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. pp. 189-194, NEUROTECHNIX 2014 - 2nd International Congress on Neurotechnology, Electronics and Informatics, 26/10/14.

Exploring Neural Principles with Si elegans, a NeuromimeticRepresentation of the Nematode Caenorhabditis elegans. / Blau, Axel; Callaly, Frank; Cawley, Seamus; Coffey, Aedan; De Mauro, Alessandro; Epelde, Gorka; Ferrara, Lorenzo; Krewer, Finn; Liberale, Carlo; Baptista Machado, Pedro; Maclair, Gregory; McGinnity, Thomas Martin; Morgan, Fearghal; Mujika, Andoni; Petrushin, Alexey; Robin, Gautier; Wade, John.

Unknown Host Publication. 2014. p. 189-194.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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

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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.

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KW - Nervous System Emulation

KW - Soft Body Simulation

KW - Virtual Embodiment

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

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SN - 978-989-758-056-7

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BT - Unknown Host Publication

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Blau A, Callaly F, Cawley S, Coffey A, De Mauro A, Epelde G et al. Exploring Neural Principles with Si elegans, a NeuromimeticRepresentation of the Nematode Caenorhabditis elegans. In Unknown Host Publication. 2014. p. 189-194