Neuromorphic object tracking architecture, based on compound eyes, and implementation on FPGA

Chakraborty, S and Priyanka, P and Gupta, S and Afshar, S and Hamilton, T and Thakur, CS (2019) Neuromorphic object tracking architecture, based on compound eyes, and implementation on FPGA. In: 61st IEEE International Midwest Symposium on Circuits and Systems, 8 August 2018, MWSCAS 2018; Windsor; Canada; 5, pp. 668-671.

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Abstract

Recent findings in neuroscience, show that rapid changes in flight direction of a housefly/blowfly (mainly to track objects) are attributable to neural circuits distributed behind its photo-receptors. While tracking objects, using its compound eye structure, a fly is able to detect changes in the motion of the object quickly and changes its own motion accordingly. The working of these neural circuits may be modelled as a set of leaky integrate and fire neurons connected in a special manner to form a competitive feedback control. Based on this knowledge, we present a neuromorphic competitive control circuit utilizing an inference neuron model to control N actuators and analyze their outputs for tracking an object. This model was simulated in software first and then implemented on a Xilinx Artix-7 XC7A35T- ICPG236C FPGA board using Verilog. The results show an observable decoherence phenomenon between the neurons and support the working principle of the model. © 2018 IEEE

Item Type:	Conference Paper
Publication:	Midwest Symposium on Circuits and Systems
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	cited By 0; Conference of 61st IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2018 ; Conference Date: 5 August 2018 Through 8 August 2018; Conference Code:144570 Copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Field programmable gate arrays (FPGA); Neurons, Competitive feedback; Control circuits; Flight direction; Leaky integrate and fire neuron; Neural circuits; Neuromorphic; Object Tracking; Tracking objects, Tracking (position)
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	08 Apr 2019 11:47
Last Modified:	01 Sep 2022 05:32
URI:	https://eprints.iisc.ac.in/id/eprint/62019

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