Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems

Zjajo, Amir

Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems

Conference paper (2020)

Authors

Amir Zjajo Signal Processing Systems -

Research Group

Signal Processing Systems () (TU Delft)

Robustness Synchrony Spiking neural network Homeostatic regulation

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http://resolver.tudelft.nl/uuid:fd73f460-129c-4faa-adf4-69e395fd3738

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Published Date

2020

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

In this paper, we present neuromorphic system with built-in temporal control that allows the implementation of transient mechanisms and homeostatic regulation. Due to the interaction between conductance delay and plasticity rules, the network is forming a set of neuronal groups with time-locked, reproducible, and precise firing patterns. Experimental results obtained in 65 nm CMOS technology illustrate the feasibility of the methodology.

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