ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Neuromorphic Object Tracking Architecture, Based on Compound Eyes, and Implementation on FPGA

Chakraborty, Satrajit and Priyanka, P and Gupta, Sarthak and Afshar, Saeed and Hamilton, Tara and Thakur, Chetan Singh (2018) Neuromorphic Object Tracking Architecture, Based on Compound Eyes, and Implementation on FPGA. In: 61st IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), AUG 05-08, 2018, Windsor, CANADA, pp. 668-671.

Full text not available from this repository. (Request a copy)

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.

Item Type: Conference Proceedings
Additional Information: 61st IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Windsor, CANADA, AUG 05-08, 2018
Keywords: Neuromorphic; Competitive Control; Object Tracking; LIF Neuron
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Depositing User: Id for Latest eprints
Date Deposited: 16 Mar 2019 06:13
Last Modified: 16 Mar 2019 06:13
URI: http://eprints.iisc.ac.in/id/eprint/61963

Actions (login required)

View Item View Item