Publication detail

Hardware Implementation of Bio-Inspired Models

KOLKA, Z. BIOLKOVÁ, V. BIOLEK, D. BIOLEK, Z.

Original Title

Hardware Implementation of Bio-Inspired Models

English Title

Hardware Implementation of Bio-Inspired Models

Type

conference paper

Language

en

Original Abstract

The so-called hybrid approach to hardware emulation of bio-inspired devices and nonlinear dynamic processes of complex nature is proposed. Two issues are discussed: the stability of the emulation process and the possibility of partitioning the system into two parts, one being emulated digitally and the other via an analog circuitry. The procedure is illustrated on the example of emulating the Fitzhugh- Nagumo model of neuron.

English abstract

The so-called hybrid approach to hardware emulation of bio-inspired devices and nonlinear dynamic processes of complex nature is proposed. Two issues are discussed: the stability of the emulation process and the possibility of partitioning the system into two parts, one being emulated digitally and the other via an analog circuitry. The procedure is illustrated on the example of emulating the Fitzhugh- Nagumo model of neuron.

Keywords

continuous-time system; discrete-time system; emulator; emulation; neuron modeling

Released

20.11.2018

Publisher

IEEE

Location

Valletta, Malta

ISBN

978-1-5386-7681-3

Book

2018 New Generation of CAS (NGCAS)

Pages from

102

Pages to

105

Pages count

4

URL

BibTex


@inproceedings{BUT152050,
  author="Zdeněk {Kolka} and Viera {Biolková} and Dalibor {Biolek} and Zdeněk {Biolek}",
  title="Hardware Implementation of Bio-Inspired Models",
  annote="The so-called hybrid approach to hardware emulation of bio-inspired devices and nonlinear dynamic processes of complex nature is proposed. Two issues are discussed: the stability of the emulation process and the possibility of partitioning the system into two parts, one being emulated digitally and the other via an analog circuitry. The procedure is illustrated on the example of emulating the Fitzhugh- Nagumo model of neuron.",
  address="IEEE",
  booktitle="2018 New Generation of CAS (NGCAS)",
  chapter="152050",
  doi="10.1109/NGCAS.2018.8572072",
  howpublished="online",
  institution="IEEE",
  year="2018",
  month="november",
  pages="102--105",
  publisher="IEEE",
  type="conference paper"
}