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Authors: Lorenzo Ferrara ; Alexey Petrushin and Axel Blau

Affiliation: Italian Institute of Technology (IIT), Italy

Keyword(s): Brain-Inspired Computation, Nervous System Emulation, Optical Connectome, Parallel Information Flow, Structured Illumination, Replica-Casting, Field-Programmable Gate Arrays.

Abstract: In nature, interneural signaling is highly parallel and temporally precisely structured. It would require equal parallelism and temporal accuracy to faithfully mimic neural communication in hardware representations. Light-based communication schemes fulfil this prerequisite. We report on a prototype of an optical connectome implementation for a neuromorphic system eventually consisting of eight neurons. The platform is based on field-programmable gate arrays (FPGAs) that run neuron-specific response models. Their axons are represented by light-emitting diodes (LEDs) with axonal arbors in the form of micro-patterned transparencies. They distribute membrane voltage threshold crossings, which are represented by light pulses, onto synapse-specific photodiodes of postsynaptic neurons. This contribution sketches out the overall system design and discusses its prospective application in replicating the connectome of the nematode C. elegans in the framework of the Si elegans project.

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Paper citation in several formats:
Ferrara, L.; Petrushin, A. and Blau, A. (2015). An Electro-optical Connectome Prototype for Eight Neuron Representations in FPGA Technology. In Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2015) - NeBICA; ISBN 978-989-758-161-8, SciTePress, pages 127-132. DOI: 10.5220/0005712501270132

@conference{nebica15,
author={Lorenzo Ferrara. and Alexey Petrushin. and Axel Blau.},
title={An Electro-optical Connectome Prototype for Eight Neuron Representations in FPGA Technology},
booktitle={Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2015) - NeBICA},
year={2015},
pages={127-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005712501270132},
isbn={978-989-758-161-8},
}

TY - CONF

JO - Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2015) - NeBICA
TI - An Electro-optical Connectome Prototype for Eight Neuron Representations in FPGA Technology
SN - 978-989-758-161-8
AU - Ferrara, L.
AU - Petrushin, A.
AU - Blau, A.
PY - 2015
SP - 127
EP - 132
DO - 10.5220/0005712501270132
PB - SciTePress

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