Bursting through interconnection of excitable circuits
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Ribar, Luka https://orcid.org/0000-0002-7050-6387
Sepulchre, Rodolphe https://orcid.org/0000-0002-7047-3124
Abstract
We outline the methodology for designing a bursting circuit with robustness and control properties reminiscent of those encountered in biological bursting neurons. We propose that this design question is tractable when addressed through the interconnection theory of two excitable circuits, realized solely with first-order filters and sigmoidal I-V elements. The circuit can be designed and controlled by shaping its I-V curves in the relevant timescales, giving a novel and intuitive methodology for implementing single neuron behaviors in hardware.
Description
Keywords
46 Information and Computing Sciences, 4611 Machine Learning, Neurosciences
Journal Title
2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
Conference Name
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Journal ISSN
2163-4025
Volume Title
2018-January
Publisher
IEEE
Publisher DOI
Sponsorship
European Research Council (670645)
The research leading to these results has received funding from the European Research Council under the Advanced ERC Grant Agreement Switchlet n.670645.