A simple phenomenological neuronal model with inhibitory and excitatory synapses

Kerstin Lenk

doi:10.1007/978-3-642-25020-0_30

A simple phenomenological neuronal model with inhibitory and excitatory synapses

Kerstin Lenk^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Abstract

We develop a simple model which simulates neuronal activity as observed in a neuronal network cultivated on a multielectrode array neurochip. The model is based on an inhomogeneous Poisson process to simulate neurons which are active without external input or stimulus as observed in neurochip experiments. Spike train statistics are applied to validate the resulting spike data. Calculated features adapted from spikes and bursts as well as the spike train statistics show that the presented model has potential to simulate neuronal activity.

Original language	English
Title of host publication	Advances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings
Pages	232-238
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-642-25020-0_30
Publication status	Published - 2011
Externally published	Yes
Publication type	A4 Article in conference proceedings
Event	5th International Conference on Nonlinear Speech Processing, NOLISP 2011 - Las Palmas de Gran Canaria, Spain Duration: 7 Nov 2011 → 9 Nov 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7015 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Nonlinear Speech Processing, NOLISP 2011
Country/Territory	Spain
City	Las Palmas de Gran Canaria
Period	7/11/11 → 9/11/11

Keywords

multielectrode array neurochips
neuronal network model
spike train statistics

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-25020-0_30

Cite this

Lenk, K. (2011). A simple phenomenological neuronal model with inhibitory and excitatory synapses. In Advances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings (pp. 232-238). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7015 LNAI). https://doi.org/10.1007/978-3-642-25020-0_30

Lenk, Kerstin. / A simple phenomenological neuronal model with inhibitory and excitatory synapses. Advances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings. 2011. pp. 232-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A simple phenomenological neuronal model with inhibitory and excitatory synapses",

abstract = "We develop a simple model which simulates neuronal activity as observed in a neuronal network cultivated on a multielectrode array neurochip. The model is based on an inhomogeneous Poisson process to simulate neurons which are active without external input or stimulus as observed in neurochip experiments. Spike train statistics are applied to validate the resulting spike data. Calculated features adapted from spikes and bursts as well as the spike train statistics show that the presented model has potential to simulate neuronal activity.",

keywords = "multielectrode array neurochips, neuronal network model, spike train statistics",

author = "Kerstin Lenk",

year = "2011",

doi = "10.1007/978-3-642-25020-0\_30",

language = "English",

isbn = "9783642250194",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Lenk, K 2011, A simple phenomenological neuronal model with inhibitory and excitatory synapses. in Advances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7015 LNAI, pp. 232-238, 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Las Palmas de Gran Canaria, Spain, 7/11/11. https://doi.org/10.1007/978-3-642-25020-0_30

A simple phenomenological neuronal model with inhibitory and excitatory synapses. / Lenk, Kerstin.
Advances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings. 2011. p. 232-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7015 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AB - We develop a simple model which simulates neuronal activity as observed in a neuronal network cultivated on a multielectrode array neurochip. The model is based on an inhomogeneous Poisson process to simulate neurons which are active without external input or stimulus as observed in neurochip experiments. Spike train statistics are applied to validate the resulting spike data. Calculated features adapted from spikes and bursts as well as the spike train statistics show that the presented model has potential to simulate neuronal activity.

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KW - neuronal network model

KW - spike train statistics

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings

T2 - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011

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Lenk K. A simple phenomenological neuronal model with inhibitory and excitatory synapses. In Advances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings. 2011. p. 232-238. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-25020-0_30

A simple phenomenological neuronal model with inhibitory and excitatory synapses

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Keywords

ASJC Scopus subject areas

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