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 language | English (US) |
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Title of host publication | Biosystems and Biorobotics |
Publisher | Springer International Publishing |
Pages | 79-98 |
Number of pages | 20 |
DOIs | |
State | Published - 2016 |
Publication series
Name | Biosystems and Biorobotics |
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Volume | 12 |
ISSN (Print) | 2195-3562 |
ISSN (Electronic) | 2195-3570 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2016.
ASJC Scopus subject areas
- Mechanical Engineering
- Artificial Intelligence
- Biomedical Engineering