Biologically plausible contrast detection using a memristor array

Eshraghain, Jason K., Lammie, Corey, and Rahimi Azghadi, Mostafa (2020) Biologically plausible contrast detection using a memristor array. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

[img] PDF (Accepted Publisher Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1109/ISCAS45731.2020....
 
2


Abstract

Hardware implementation of functional neuronal circuits has rapidly become more feasible due to increasing reliability of memristor-CMOS integration at a scale necessitated by neuromorphic processes. Most neuromorphic implementations of the memristor treat it as a variable synaptic weight modulated by conductance. The work in this paper enhances biological plausibility of analog vision system circuits by mimicking the nonlinear dynamics of a network of receptive field that resembles those found in the lateral geniculate nucleus. The memristive circuit provides a biologically accurate response where a single cell behaves simultaneously as its own on-center receptive field, and as the off-surround receptive field of adjacent cells. It maximally responds to spatial variations of light. Each output is a fundamental unit of cortical visual information, and we show how the receptive field of each neuron can be superimposed to perceive edges and recognize objects when scaled to higher cortical areas. The functionality of the array is verified in SPICE simulations.

Item ID: 65712
Item Type: Conference Item (Research - E1)
ISBN: 978-1-7281-3320-1
Related URLs:
Copyright Information: (C) IEEE
Additional Information:

This was an online event.

Date Deposited: 04 Feb 2021 00:53
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4606 Distributed computing and systems software > 460606 Energy-efficient computing @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970110 Expanding Knowledge in Technology @ 100%
Downloads: Total: 2
Last 12 Months: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page