TY - GEN
T1 - The Si elegans project - The challenges and prospects of emulating 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 - Machado, Pedro
AU - Maclair, Gregory
AU - McGinnity, Thomas Martin
AU - Morgan, Fearghal
AU - Mujika, Andoni
AU - Petrushin, Alessandro
AU - Robin, Gautier
AU - Wade, John
PY - 2014
Y1 - 2014
N2 - Caenorhabditis elegans features one of the simplest nervous systems in nature, yet its biological information processing still evades our complete understanding. The position of its 302 neurons and almost its entire connectome has been mapped. However, there is only sparse knowledge on how its nervous system codes for its rich behavioral repertoire. The EU-funded Si elegans project aims at reverse-engineering C. elegans' nervous system function by its emulation. 302 in parallel interconnected field-programmable gate array (FPGA) neurons will interact through their sensory and motor neurons with a biophysically accurate soft-body representation of the nematode in a virtual behavioral arena. Each FPGA will feature its own reprogrammable neural response model that researchers world-wide will be able to modify to test their neuroscientific hypotheses. In a closed-feedback loop, any sensory experience of the virtual nematode in its virtual environment will be processed by sensory and subsequently interconnected neurons to result in motor commands at neuromuscular junctions at the hardware-software interface to actuate virtual muscles of the virtual nematode. Postural changes in the virtual world will lead to a new sensory experience and thus close the loop. In this contribution we present the overall concepts with special focus on the virtual embodiment of the nematode. For further information and recent news please visit http://www.si-elegans.eu.
AB - Caenorhabditis elegans features one of the simplest nervous systems in nature, yet its biological information processing still evades our complete understanding. The position of its 302 neurons and almost its entire connectome has been mapped. However, there is only sparse knowledge on how its nervous system codes for its rich behavioral repertoire. The EU-funded Si elegans project aims at reverse-engineering C. elegans' nervous system function by its emulation. 302 in parallel interconnected field-programmable gate array (FPGA) neurons will interact through their sensory and motor neurons with a biophysically accurate soft-body representation of the nematode in a virtual behavioral arena. Each FPGA will feature its own reprogrammable neural response model that researchers world-wide will be able to modify to test their neuroscientific hypotheses. In a closed-feedback loop, any sensory experience of the virtual nematode in its virtual environment will be processed by sensory and subsequently interconnected neurons to result in motor commands at neuromuscular junctions at the hardware-software interface to actuate virtual muscles of the virtual nematode. Postural changes in the virtual world will lead to a new sensory experience and thus close the loop. In this contribution we present the overall concepts with special focus on the virtual embodiment of the nematode. For further information and recent news please visit http://www.si-elegans.eu.
KW - Biomimicry
KW - Brain-Inspired Computation
KW - Nervous System Emulation
KW - Neurocomputational Response Models on FPGAs
KW - Soft Body Simulation
KW - Virtual World Embodiment
UR - http://www.scopus.com/inward/record.url?scp=84905222841&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-09435-9_54
DO - 10.1007/978-3-319-09435-9_54
M3 - Conference contribution
AN - SCOPUS:84905222841
SN - 9783319094342
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 436
EP - 438
BT - Biomimetic and Biohybrid Systems - Third International Conference, Living Machines 2014, Proceedings
PB - Springer Verlag
T2 - 3rd International Conference on Biomimetic and Biohybrid Systems, Living Machines 2014
Y2 - 30 July 2014 through 1 August 2014
ER -