Comparison of Electro-Optical Strategies for Mimicking C. elegans Network Interconnectivity in Hardware

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.

[1]  Kelvin E. Jones,et al.  Neuronal variability: noise or part of the signal? , 2005, Nature Reviews Neuroscience.

[2]  D. Chklovskii,et al.  Wiring optimization can relate neuronal structure and function. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Martin Paul Nawrot,et al.  Neural Coding: Sparse but On Time , 2014, Current Biology.

[4]  Robert Gütig,et al.  To spike, or when to spike? , 2014, Current Opinion in Neurobiology.

[5]  Axel W. Blau,et al.  Towards an Electro-optical Emulation of the C. elegans Connectome , 2014, NEUROTECHNIX.

[6]  C. Adami,et al.  Colored Motifs Reveal Computational Building Blocks in the C. elegans Brain , 2010, PloS one.

[7]  Lav R. Varshney,et al.  Structural Properties of the Caenorhabditis elegans Neuronal Network , 2009, PLoS Comput. Biol..

[8]  S. Thorpe,et al.  Spike times make sense , 2005, Trends in Neurosciences.