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 language | English |
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Title of host publication | BICT 2015 - 9th EAI International Conference on Bio-Inspired Information and Communications Technologies |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781631901003 |
DOIs | |
Publication status | Published - 24 May 2016 |
Event | 9th EAI International Conference on Bio-Inspired Information and Communications Technologies, BICT 2015 - New York City, USA United States Duration: 3 Dec 2015 → 5 Dec 2015 |
Conference
Conference | 9th EAI International Conference on Bio-Inspired Information and Communications Technologies, BICT 2015 |
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Country/Territory | USA United States |
City | New York City |
Period | 3/12/15 → 5/12/15 |
Funding
The authors would like to thank British Heart Foundation for supporting this work under grant NH/14/1/30761.
Keywords
- Hardware central pattern generator (hCPG)
- Silicon neurons
ASJC Scopus subject areas
- Computer Science Applications
- Software
- Biotechnology