Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network
Striatal medium spiny neurons (MSNs) receive lateral inhibitory projections from other MSNs and feedforward inhibitory projections from fast-spiking, parvalbumin-containing striatal interneurons (FSIs). The functional roles of these connections are unknown, and difficult to study in an experimental...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2014-11-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00152/full |
| _version_ | 1811270944940883968 |
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| author | Jason T. Moyer Benjamin L. Halterman Leif H. Finkel John A. Wolf |
| author_facet | Jason T. Moyer Benjamin L. Halterman Leif H. Finkel John A. Wolf |
| author_sort | Jason T. Moyer |
| collection | DOAJ |
| description | Striatal medium spiny neurons (MSNs) receive lateral inhibitory projections from other MSNs and feedforward inhibitory projections from fast-spiking, parvalbumin-containing striatal interneurons (FSIs). The functional roles of these connections are unknown, and difficult to study in an experimental preparation. We therefore investigated the functionality of both lateral (MSN-MSN) and feedforward (FSI-MSN) inhibition using a large-scale computational model of the striatal network. The model consists of 2744 MSNs comprised of 189 compartments each and 121 FSIs comprised of 148 compartments each, with dendrites explicitly represented and almost all known ionic currents included and strictly constrained by biological data as appropriate. Our analysis of the model indicates that both lateral inhibition and feedforward inhibition function at the population level to limit non-ensemble MSN spiking while preserving ensemble MSN spiking. Specifically, lateral inhibition enables large ensembles of MSNs firing synchronously to strongly suppress non-ensemble MSNs over a short time-scale (10-30 msec). Feedforward inhibition enables FSIs to strongly inhibit weakly activated, non-ensemble MSNs while moderately inhibiting activated ensemble MSNs. Importantly, FSIs appear to more effectively inhibit MSNs when FSIs fire asynchronously. Both types of inhibition would increase the signal-to-noise ratio of responding MSN ensembles and contribute to the formation and dissolution of MSN ensembles in the striatal network. |
| first_indexed | 2024-04-12T22:11:16Z |
| format | Article |
| id | doaj.art-cc3202cce5f146d3bdd17855f08c3f0d |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-04-12T22:11:16Z |
| publishDate | 2014-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-cc3202cce5f146d3bdd17855f08c3f0d2022-12-22T03:14:44ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882014-11-01810.3389/fncom.2014.00152100037Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal networkJason T. Moyer0Benjamin L. Halterman1Leif H. Finkel2John A. Wolf3University of PennsylvaniaUniversity of PennsylvaniaUniversity of PennsylvaniaUniversity of PennsylvaniaStriatal medium spiny neurons (MSNs) receive lateral inhibitory projections from other MSNs and feedforward inhibitory projections from fast-spiking, parvalbumin-containing striatal interneurons (FSIs). The functional roles of these connections are unknown, and difficult to study in an experimental preparation. We therefore investigated the functionality of both lateral (MSN-MSN) and feedforward (FSI-MSN) inhibition using a large-scale computational model of the striatal network. The model consists of 2744 MSNs comprised of 189 compartments each and 121 FSIs comprised of 148 compartments each, with dendrites explicitly represented and almost all known ionic currents included and strictly constrained by biological data as appropriate. Our analysis of the model indicates that both lateral inhibition and feedforward inhibition function at the population level to limit non-ensemble MSN spiking while preserving ensemble MSN spiking. Specifically, lateral inhibition enables large ensembles of MSNs firing synchronously to strongly suppress non-ensemble MSNs over a short time-scale (10-30 msec). Feedforward inhibition enables FSIs to strongly inhibit weakly activated, non-ensemble MSNs while moderately inhibiting activated ensemble MSNs. Importantly, FSIs appear to more effectively inhibit MSNs when FSIs fire asynchronously. Both types of inhibition would increase the signal-to-noise ratio of responding MSN ensembles and contribute to the formation and dissolution of MSN ensembles in the striatal network.http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00152/fullBasal GangliaParkinson DiseaseTourette Syndromecomputational modelinhibitionStriatum |
| spellingShingle | Jason T. Moyer Benjamin L. Halterman Leif H. Finkel John A. Wolf Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network Frontiers in Computational Neuroscience Basal Ganglia Parkinson Disease Tourette Syndrome computational model inhibition Striatum |
| title | Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network |
| title_full | Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network |
| title_fullStr | Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network |
| title_full_unstemmed | Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network |
| title_short | Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network |
| title_sort | lateral and feedforward inhibition suppress asynchronous activity in a large biophysically detailed computational model of the striatal network |
| topic | Basal Ganglia Parkinson Disease Tourette Syndrome computational model inhibition Striatum |
| url | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00152/full |
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