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
Additional Information: Funding Information: Funding. This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund for the CONNECT Research Centre (13/RC/2077) and the FutureNeuro Research Centre (16/RC/3948). The work of MB was supported by the European Union's Horizon 2020 Research and Innovation Programme through the Marie Sk?odowska-Curie Grant under Agreement 839553. Funding Information: This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund Publisher Copyright: © Copyright © 2020 Adonias, Siljak, Barros, Marchetti, White and Balasubramaniam.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2800/2801
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Depositing User: Admin SSL
Date Deposited: 19 Oct 2022 23:07
Last Modified: 27 Jul 2023 22:25
URI: http://repository-testing.wit.ie/id/eprint/4187

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