Bio-inspired hardware central pattern generator (hCPG) as a therapy for cardiorespiratory disease

Ashok Chauhan, Le Zhao, Julian Paton, Alain Nogaret

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We report on a hCPG device, which is a network of silicon neurons, and its applications to cardiorespiratory therapy. We study the chaotic dynamics of neurons that compete through mutually inhibitory synapses and demonstrate the emergence of multistable behavior. We were able to select the spatio-Temporal sequences associated with stable modes of oscillation by imparting different initial conditions with timed current steps mimicking delayed stimuli. We constructed the phase lag maps of the hCPG for various connectivities of the network. We also describe a simpler two neuron hCPG which generates a two-phase rhythmic pattern for vagus nerve stimulation and modulation of heart rate by respiration to obtain artificial respiratory sinus-Arrhythmia (RSA).

Original languageEnglish
Title of host publicationBICT 2015 - 9th EAI International Conference on Bio-Inspired Information and Communications Technologies
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781631901003
DOIs
Publication statusPublished - 24 May 2016
Event9th EAI International Conference on Bio-Inspired Information and Communications Technologies, BICT 2015 - New York City, USA United States
Duration: 3 Dec 20155 Dec 2015

Conference

Conference9th EAI International Conference on Bio-Inspired Information and Communications Technologies, BICT 2015
CountryUSA United States
CityNew York City
Period3/12/155/12/15

Keywords

  • Hardware central pattern generator (hCPG)
  • Silicon neurons

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Biotechnology

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  • Cite this

    Chauhan, A., Zhao, L., Paton, J., & Nogaret, A. (2016). Bio-inspired hardware central pattern generator (hCPG) as a therapy for cardiorespiratory disease. In BICT 2015 - 9th EAI International Conference on Bio-Inspired Information and Communications Technologies Association for Computing Machinery. https://doi.org/10.4108/eai.3-12-2015.2262517