CUED Publications database

Neuromorphic Control

Ribar, L and Sepulchre, R Neuromorphic Control. IEEE Control Systems. ISSN 1066-033X (Unpublished)

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Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biological organization of neural systems to develop novel technology for computing, sensing and actuating. The unique properties of such systems call for new signal processing and control paradigms. The article introduces the mixed feedback organization of excitable neuronal systems, consisting of interlocked positive and negative feedback loops acting in distinct timescales. The principles of biological neuromodulation suggest a methodology for designing and controlling mixed-feedback systems neuromorphically. The proposed design consists of a parallel interconnection of elementary circuit elements that mirrors the organization of biological neurons and utilizes the hardware components of neuromorphic electronic circuits. The interconnection structure endows the neuromorphic systems with a simple control methodology that reframes the neuronal control as an input-output shaping problem. The potential of neuronal control is illustrated on simple network examples that suggest the scalability of the mixed-feedback principles.

Item Type: Article
Uncontrolled Keywords: eess.SY eess.SY cs.NE cs.SY q-bio.NC
Divisions: Div F > Control
Depositing User: Unnamed user with email
Date Deposited: 13 Nov 2020 20:29
Last Modified: 09 Sep 2021 01:57