Comparison of electro-optical strategies for mimicking C. Elegans network interconnectivity in hardware

Lorenzo Ferrara, Alexey Petrushin, Carlo Liberale, Dara Brannick, Brian Connolly, Pat Mitchell, Axel Blau*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

With exactly 302 neurons and about 8000 connections, the hermaphrodite of the soil-dwelling ringworm Caenorhabditis elegans features one of the simplest nervous systems in nature. The Si elegans project will provide a reverse-engineerable model of this nematode by emulating its nervous system and embodying it in a virtual world. The hardware will consist of 302 individual FPGAs, each carrying a neuron-specific neural response model. The FPGA neurons will be interconnected by an electro-optical connectome to distribute the signal at the axonal output or gap-junction pin of an FPGA neuron onto the respective synaptic input or gap-junction pins of postsynaptic FPGA neurons. This technology will replicate the known connectome of the nematode to allow for a biomimetic parallel information flow between neurons. This chapter focuses on the comparison of different electro-optical connectome concepts and on the required implementation steps with their advantages and disadvantages being explained.

Original languageEnglish (US)
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Pages79-98
Number of pages20
DOIs
StatePublished - Jan 1 2016

Publication series

NameBiosystems and Biorobotics
Volume12
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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