Realizing medium spiny neurons with a simple neuron model

Sami Utku Çelikok; Neslihan Serap Şengör

doi:10.1007/978-3-319-44778-0_30

Realizing medium spiny neurons with a simple neuron model

Sami Utku Çelikok^*, Neslihan Serap Şengör

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Bogazici University

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

Abstract

Striatal medium spiny neurons (MSNs) constitute input nuclei of the basal ganglia. Most well-known dichotomous of striatal MSNs stem from dopaminergic modulation of striatal processing. Dopamine modulates excitability in striatal MSNs with a complex underlying mechanism and lack of balance in this delicate system leads to pathologies such as Parkinson’s disease. On the contrary, investigation of such a system requires simple, but yet comprehensive models that are capable of capturing complex behaviour of MSNs. We propose a reduced-computational but biologically plausible model that mimics the cell dynamics of striatal D1- and D2-type MSNs with different levels of dopamine using data from a recent study. Proposed computational model shows good matches to the MSN responses and captures some essential features of MSNs such as first spike latencies, dopamine modulated state transitions and enhanced response to depolarizing input during dopamine intervention.

Original language	English
Title of host publication	Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings
Editors	Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero
Publisher	Springer Verlag
Pages	256-263
Number of pages	8
ISBN (Print)	9783319447773
DOIs	https://doi.org/10.1007/978-3-319-44778-0_30
Publication status	Published - 2016
Event	25th International Conference on Artificial Neural Networks, ICANN 2016 - Barcelona, Spain Duration: 6 Sept 2016 → 9 Sept 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9886 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	25th International Conference on Artificial Neural Networks, ICANN 2016
Country/Territory	Spain
City	Barcelona
Period	6/09/16 → 9/09/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

Dopamine
Electrophysiology
Medium spiny neurons
Simple model

Access to Document

10.1007/978-3-319-44778-0_30

Cite this

Çelikok, S. U., & Şengör, N. S. (2016). Realizing medium spiny neurons with a simple neuron model. In A. E. P. Villa, P. Masulli, & A. J. P. Rivero (Eds.), Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings (pp. 256-263). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9886 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-44778-0_30

Çelikok, Sami Utku ; Şengör, Neslihan Serap. / Realizing medium spiny neurons with a simple neuron model. Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings. editor / Alessandro E.P. Villa ; Paolo Masulli ; Antonio Javier Pons Rivero. Springer Verlag, 2016. pp. 256-263 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "{\c C}elikok, {Sami Utku} and {\c S}eng{\"o}r, {Neslihan Serap}",

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doi = "10.1007/978-3-319-44778-0_30",

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Çelikok, SU & Şengör, NS 2016, Realizing medium spiny neurons with a simple neuron model. in AEP Villa, P Masulli & AJP Rivero (eds), Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9886 LNCS, Springer Verlag, pp. 256-263, 25th International Conference on Artificial Neural Networks, ICANN 2016, Barcelona, Spain, 6/09/16. https://doi.org/10.1007/978-3-319-44778-0_30

Realizing medium spiny neurons with a simple neuron model. / Çelikok, Sami Utku; Şengör, Neslihan Serap.
Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings. ed. / Alessandro E.P. Villa; Paolo Masulli; Antonio Javier Pons Rivero. Springer Verlag, 2016. p. 256-263 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9886 LNCS).

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

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AU - Şengör, Neslihan Serap

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Striatal medium spiny neurons (MSNs) constitute input nuclei of the basal ganglia. Most well-known dichotomous of striatal MSNs stem from dopaminergic modulation of striatal processing. Dopamine modulates excitability in striatal MSNs with a complex underlying mechanism and lack of balance in this delicate system leads to pathologies such as Parkinson’s disease. On the contrary, investigation of such a system requires simple, but yet comprehensive models that are capable of capturing complex behaviour of MSNs. We propose a reduced-computational but biologically plausible model that mimics the cell dynamics of striatal D1- and D2-type MSNs with different levels of dopamine using data from a recent study. Proposed computational model shows good matches to the MSN responses and captures some essential features of MSNs such as first spike latencies, dopamine modulated state transitions and enhanced response to depolarizing input during dopamine intervention.

AB - Striatal medium spiny neurons (MSNs) constitute input nuclei of the basal ganglia. Most well-known dichotomous of striatal MSNs stem from dopaminergic modulation of striatal processing. Dopamine modulates excitability in striatal MSNs with a complex underlying mechanism and lack of balance in this delicate system leads to pathologies such as Parkinson’s disease. On the contrary, investigation of such a system requires simple, but yet comprehensive models that are capable of capturing complex behaviour of MSNs. We propose a reduced-computational but biologically plausible model that mimics the cell dynamics of striatal D1- and D2-type MSNs with different levels of dopamine using data from a recent study. Proposed computational model shows good matches to the MSN responses and captures some essential features of MSNs such as first spike latencies, dopamine modulated state transitions and enhanced response to depolarizing input during dopamine intervention.

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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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ER -

Çelikok SU, Şengör NS. Realizing medium spiny neurons with a simple neuron model. In Villa AEP, Masulli P, Rivero AJP, editors, Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings. Springer Verlag. 2016. p. 256-263. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-44778-0_30

Realizing medium spiny neurons with a simple neuron model

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Keywords

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