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. pp. 91-107. ISSN 1662-5188

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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
Departments or Groups: Telecommunications Software and Systems Group
Divisions: School of Science > Department of Computing, Maths and Physics
Depositing User: Mr Geoflly Adonias
Date Deposited: 10 Nov 2020 13:35
Last Modified: 10 Nov 2020 13:35

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