Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Action selection in the basal ganglia - a computational investigation
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-0550-0739
2010 (English)Conference paper, Published paper (Other academic)
Abstract [en]

The classical explanation for how basal ganglia could perform action selection relies on the direct and indirect pathway. In this computational study we instead build on earlier studies viewing the part performing selection as consisting of the direct and hyperdirect pathways, with the indirect pathway playing the role of controlling the balance between these two [1]. The present model is a further development of a previous spiking neuron model [2], reimplemented in the software NEST [3] using conductance based integrate and fire neurons. We explore the functional consequences of including additional connections known from experimental studies, such as the collaterals from the direct pathway striatal medium spiny neurons to globus pallidus externa (GPe) as well as a dual indirect pathway through GPe. Simulation experiments suggest that this new model can perform selection with an improved sensitivity and over a larger range of dopamine modulation.

Place, publisher, year, edition, pages
2010.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-58758OAI: oai:DiVA.org:kth-58758DiVA: diva2:473947
Conference
7th FENS Forum of European Neuroscience - Amsterdam, 2010
Note
QC 20120118Available from: 2012-01-08 Created: 2012-01-08 Last updated: 2012-01-18Bibliographically approved

Open Access in DiVA

No full text

Authority records BETA

Hellgren Kotaleski, Jeanette

Search in DiVA

By author/editor
Lindahl, MikaelHellgren Kotaleski, Jeanette
By organisation
Computational Biology, CB
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 56 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf