Electro‐optical spiking neural networks using an enhanced optical axon with pulse amplitude modulation and automatic gain controller

Author:

Uleru George‐Iulian1,Hulea Mircea1ORCID,Younus Othman Isam2,Ghassemlooy Zabih2,Rajbhandari Sujan3

Affiliation:

1. Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania

2. Optical Communications Research Group Department of Physics Department, Maths and Electrical Engineering Faculty of Engineering and Environment Northumbria University Newcastle upon Tyne UK

3. DSP Centre of Excellence Bangor University Bangor UK

Abstract

AbstractVisible light communication can be leveraged to establish a wireless link between neurons in spiking networks even when neural areas are in relative motions. In electro‐optical spiking neural networks (SNN), parallel transmission is often achieved through wavelength division multiplexing (WDM). However, WDM can be prohibitive in certain applications due to the need for multiple narrow‐band transmitters and receivers with optical bandpass filters. Instead of WDM, an alternative approach of using non‐orthogonal multiple access is explored (NOMA) with a pulse amplitude modulation (PAM) scheme in optical axons to enable parallel neural paths in an SNN. To evaluate NOMA with PAM, the authors implement an electro‐optical SNN that controls the force of two anthropomorphic fingers actuated by the shape memory alloy‐based actuators. An optical reference channel is used to dynamically adjust the optical receiver's gain to improve the receiver's decoding performance. Experimental results demonstrate that the electro‐optical SNN can maintain control over the fingers and hold an object under varying channel conditions. Hence, the proposed system offers robustness against dynamic optical channels induced by the relative motion of neurons.

Funder

Universitatea Tehnică „Gheorghe Asachi” din Iaşi

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Reference22 articles.

1. Saliency‐driven image acuity modulation on a reconfigurable array of spiking silicon neurons;Vogelstein R.J.;Adv. Neural Inf. Process. Syst.,2005

2. Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

3. Neuromorphic Sensors with Visible Light Communications

4. Optical Axons for Electro-Optical Neural Networks

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