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Reconfigurable Filtering of Neuro-Spike Communications Using Synthetically Engineered Logic Circuits.

Adonias, Geoflly L and Siljak, Harun and Barros, Michael Taynnan and Marchetti, Nicola and White, Mark and Balasubramaniam, Sasitharan (2020) 'Reconfigurable Filtering of Neuro-Spike Communications Using Synthetically Engineered Logic Circuits.' Frontiers in Computational Neuroscience, 14. ISSN 1662-5188

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Abstract

High-frequency firing activity can be induced either naturally in a healthy brain as a result of the processing of sensory stimuli or as an uncontrolled synchronous activity characterizing epileptic seizures. As part of this work, we investigate how logic circuits that are engineered in neurons can be used to design spike filters, attenuating high-frequency activity in a neuronal network that can be used to minimize the effects of neurodegenerative disorders such as epilepsy. We propose a reconfigurable filter design built from small neuronal networks that behave as digital logic circuits. We developed a mathematical framework to obtain a transfer function derived from a linearization process of the Hodgkin-Huxley model. Our results suggest that individual gates working as the output of the logic circuits can be used as a reconfigurable filtering technique. Also, as part of the analysis, the analytical model showed similar levels of attenuation in the frequency domain when compared to computational simulations by fine-tuning the synaptic weight. The proposed approach can potentially lead to precise and tunable treatments for neurological conditions that are inspired by communication theory.

Item Type: Article
Uncontrolled Keywords: neuron, Hodgkin-Huxley, linear model, transfer function, systems theory, epilepsy, filter
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 14 Jul 2021 13:55
Last Modified: 14 Jul 2021 14:15
URI: http://repository.essex.ac.uk/id/eprint/29858

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