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Bursting through interconnection of excitable circuits

Accepted version
Peer-reviewed

Type

Conference Object

Change log

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
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.