Si elegans: Evaluation of an innovative optical synaptic connectivity method for C-elegans Phototaxis using FPGAs

被引：0

作者：

Machado, Pedro ^{[1
]}

Memel, Alicia Costalago ^{[1
]}

Lama, Nikesh ^{[1
]}

Adama, David ^{[1
]}

Appiah, Kofi ^{[1
]}

McGinnity, T. M. ^{[1
]}

Petrushin, Alexey ^{[2
]}

Ferrara, Lorenzo ^{[2
]}

Blau, Axel ^{[2
]}

机构：

[1] Nottingham Trent Univ, Computat Intelligence Lab, Clifton Campus, Nottingham, England

[2] Italian Inst Technol, Dept Neurosci & Brain Technol NBT, I-16163 Genoa, Italy

来源：

2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2016年

基金：

欧盟第七框架计划;

关键词：

field programmable gate array (FPGA); biological nervous system (BNS); artificial neural network (ANN); C; elegans; and Si elegans;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Understanding how simple biological entities perform complex tasks (such as moving away from predators, reproduction and seeking for food) is one of the main goals of researchers across the world. The C. elegans nematode is one of the simplest and well characterised biological nervous systems (BNS) and the Si elegans EU FP7 project aims to develop a framework to mimic its functionality and better understand basic functions. This paper presents a small scale emulation environment composed of 8 neurons running on field programmable gate arrays (FPGAs), where each neuron FPGA is interconnected to all of the other neuron FPGAs via an innovative optical synaptic connectivity strategy. This paper evaluates the fidelity of synaptic communication for transmission of spikes using both wired and optical methods.

引用

页码：185 / 191

页数：7

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