Detail publikace

Analysis of Hindmarsh-Rose Neuron Model and Novel Circuitry Realisation

Originální název

Analysis of Hindmarsh-Rose Neuron Model and Novel Circuitry Realisation

Anglický název

Analysis of Hindmarsh-Rose Neuron Model and Novel Circuitry Realisation

Jazyk

en

Originální abstrakt

The Hindmarsh-Rose neural model of a single neuron was synthesized into a novel circuitry realization. First the differential equations describing the system were analysed from the chaos point of view. Then the system was synthesised into a circuit and was supported and verified by a measurement. The measurement proved spiking and bursting behaviour and also the presence of a chaos. The presence of the chaos was also verified by the Lyapunov exponents.

Anglický abstrakt

The Hindmarsh-Rose neural model of a single neuron was synthesized into a novel circuitry realization. First the differential equations describing the system were analysed from the chaos point of view. Then the system was synthesised into a circuit and was supported and verified by a measurement. The measurement proved spiking and bursting behaviour and also the presence of a chaos. The presence of the chaos was also verified by the Lyapunov exponents.

Dokumenty

BibTex


@inproceedings{BUT72874,
  author="Tomáš {Götthans} and Jiří {Petržela} and Zdeněk {Hruboš}",
  title="Analysis of Hindmarsh-Rose Neuron Model and Novel Circuitry Realisation",
  annote="The Hindmarsh-Rose neural model of a single neuron was synthesized into a novel circuitry realization. First the differential equations describing the system were analysed from the chaos point of view. Then the system was synthesised into a circuit and was supported and verified by a measurement. The measurement proved spiking and bursting behaviour and also the presence of a chaos. The presence of the chaos was also verified by the Lyapunov exponents.",
  booktitle="Proceedings of 18th International Conference Mixdes 2011",
  chapter="72874",
  howpublished="print",
  year="2011",
  month="june",
  pages="576--580",
  type="conference paper"
}