Change search
ReferencesLink to record
Permanent link

Direct link
Short term plasticity within the basal ganglia - a systems level 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
2011 (English)In: BMC neuroscience (Online), ISSN 1471-2202, Vol. 12, no Suppl 1, P145- p.Article in journal (Refereed) Published
Abstract [en]

Striatal direct pathway medium spiny neurons (MSNs) converge, with inhibitory synapses onto output nuclei substantia nigra reticulata (SNr), which keep neurons in the thalamus, superior colliculus and pendunculopontine nuclei under tonic inhibition[1]. Recent experimental findings[2] have found short term facilitation in MSN synapses onto SNr neurons. We investigate the functional consequences of these findings using a basal ganglia system level model, with spiking MSNs modeled according to Izhikevich’s simple model[3] and with facilitating synapses[4] fitted to data in[2]. The model is implemented in the NEST[5] simulator. We quantify how striatal populations of MSNs can control activity in SNr neurons, and to what extent this depends on having weak static, strong static and facilitating synapses between MSNs and SNr neurons.

Our simulation experiments predict that facilitating synapses allow baseline firing of presynaptic MSNs without suppressing target SNr neurons, while burst activation of only a few of these presynaptic striatal neurons can suppress the activity of one SNr neuron. This is in accordance with extracellular recordings in awake animals[6], where task dependent activity is transferred from a broad striatal population to a smaller subpopulation, responding increasingly stronger during learning of a task dependent behavior.

Place, publisher, year, edition, pages
2011. Vol. 12, no Suppl 1, P145- p.
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-58755DOI: 10.1186/1471-2202-12-S1-P145OAI: diva2:473941
BMC Neuroscience
QC 20120113Available from: 2012-01-08 Created: 2012-01-08 Last updated: 2012-01-13Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Lindahl, MikaelHellgren Kotaleski, Jeanette
By organisation
Computational Biology, CB
In the same journal
BMC neuroscience (Online)
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 53 hits
ReferencesLink to record
Permanent link

Direct link