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

Geoflly L. Adonias, Harun Siljak, Michael Taynnan Barros, Nicola Marchetti, Mark White, Sasitharan Balasubramaniam

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Article number556628
Pages (from-to)91-107
JournalFrontiers in Computational Neuroscience
Publication statusPublished - 15 Oct 2020


  • Hodgkin-Huxley
  • epilepsy
  • filter
  • linear model
  • neuron
  • systems theory
  • transfer function


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