Lognormal distribution of firing time and rate from a single neuron?

Even a single neuron may be able to produce significant lognormal features in its firing statistics due to noise in the charging ion current. A mathematical scheme introduced in advanced nanotechnology is relevant for the analysis of this mechanism in the simplest case, the integrate-and-fire model...

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Veröffentlicht in:	Cognitive neurodynamics 2015-08, Vol.9 (4), p.459-462
Hauptverfasser:	Kish, Eszter A., Granqvist, Claes-Göran, Dér, András, Kish, Laszlo B.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Biochemistry Biomedical and Life Sciences Biomedicine Brief Communication Brownian motion Burning time Charging Cognitive Psychology Computer Science Inter-spike time statistics Ion currents Lognormal distribution Mathematical models Nanoparticles Nanotechnology Neural dynamics Neurons Neurosciences Noise Noise in ion channels Particle size Quantum dots Random variables Statistical analysis Velocity White noise
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Beschreibung
Zusammenfassung:	Even a single neuron may be able to produce significant lognormal features in its firing statistics due to noise in the charging ion current. A mathematical scheme introduced in advanced nanotechnology is relevant for the analysis of this mechanism in the simplest case, the integrate-and-fire model with white noise in the charging ion current.
ISSN:	1871-4080 1871-4099 1871-4099
DOI:	10.1007/s11571-015-9332-6