On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach
In addition to the prefrontal cortex (PFC), the basal ganglia (BG) have been increasingly often reported to play a fundamental role in category learning, but the circuit mechanisms mediating their interaction remain to be explored. We developed a novel neurocomputational model of category learning t...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Society for Neuroscience
2020
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| Online Access: | https://hdl.handle.net/1721.1/127798 |
| _version_ | 1826195471364784128 |
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| author | Villagrasa, Francesc Baladron, Javier Vitay, Julien Schroll, Henning Antzoulatos, Evan G. Miller, Earl K Hamker, Fred H. |
| author2 | Picower Institute for Learning and Memory |
| author_facet | Picower Institute for Learning and Memory Villagrasa, Francesc Baladron, Javier Vitay, Julien Schroll, Henning Antzoulatos, Evan G. Miller, Earl K Hamker, Fred H. |
| author_sort | Villagrasa, Francesc |
| collection | MIT |
| description | In addition to the prefrontal cortex (PFC), the basal ganglia (BG) have been increasingly often reported to play a fundamental role in category learning, but the circuit mechanisms mediating their interaction remain to be explored. We developed a novel neurocomputational model of category learning that particularly addresses the BG–PFC interplay. We propose that the BG bias PFC activity by removing the inhibition of cortico–thalamo–cortical loop and thereby provide a teaching signal to guide the acquisition of category representations in the corticocortical associations to the PFC. Our model replicates key behavioral and physiological data of macaque monkey learning a prototype distortion task from Antzoulatos and Miller (2011). Our simulations allowed us to gain a deeper insight into the observed drop of category selectivity in striatal neurons seen in the experimental data and in the model. The simulation results and a new analysis of the experimental data based on the model’s predictions show that the drop in category selectivity of the striatum emerges as the variability of responses in the striatum rises when confronting the BG with an increasingly larger number of stimuli to be classified. The neurocomputational model therefore provides new testable insights of systems-level brain circuits involved in category learning that may also be generalized to better understand other cortico–BG–cortical loops. |
| first_indexed | 2024-09-23T10:13:11Z |
| format | Article |
| id | mit-1721.1/127798 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:13:11Z |
| publishDate | 2020 |
| publisher | Society for Neuroscience |
| record_format | dspace |
| spelling | mit-1721.1/1277982022-09-26T16:34:07Z On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach Villagrasa, Francesc Baladron, Javier Vitay, Julien Schroll, Henning Antzoulatos, Evan G. Miller, Earl K Hamker, Fred H. Picower Institute for Learning and Memory Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences In addition to the prefrontal cortex (PFC), the basal ganglia (BG) have been increasingly often reported to play a fundamental role in category learning, but the circuit mechanisms mediating their interaction remain to be explored. We developed a novel neurocomputational model of category learning that particularly addresses the BG–PFC interplay. We propose that the BG bias PFC activity by removing the inhibition of cortico–thalamo–cortical loop and thereby provide a teaching signal to guide the acquisition of category representations in the corticocortical associations to the PFC. Our model replicates key behavioral and physiological data of macaque monkey learning a prototype distortion task from Antzoulatos and Miller (2011). Our simulations allowed us to gain a deeper insight into the observed drop of category selectivity in striatal neurons seen in the experimental data and in the model. The simulation results and a new analysis of the experimental data based on the model’s predictions show that the drop in category selectivity of the striatum emerges as the variability of responses in the striatum rises when confronting the BG with an increasingly larger number of stimuli to be classified. The neurocomputational model therefore provides new testable insights of systems-level brain circuits involved in category learning that may also be generalized to better understand other cortico–BG–cortical loops. National Institute of Mental Health (Grants R01MH065252, R37MH087027) 2020-10-02T18:54:24Z 2020-10-02T18:54:24Z 2018-09 2018-08 2019-10-03T14:10:08Z Article http://purl.org/eprint/type/JournalArticle 0270-6474 1529-2401 https://hdl.handle.net/1721.1/127798 Villagrasa, Francesc et al. "On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach." Journal of Neuroscience 38, 44 (October 2018): 9551-9562 © 2018 The Authors en http://dx.doi.org/10.1523/jneurosci.0874-18.2018 Journal of Neuroscience Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Society for Neuroscience Society for Neurocience |
| spellingShingle | Villagrasa, Francesc Baladron, Javier Vitay, Julien Schroll, Henning Antzoulatos, Evan G. Miller, Earl K Hamker, Fred H. On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach |
| title | On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach |
| title_full | On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach |
| title_fullStr | On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach |
| title_full_unstemmed | On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach |
| title_short | On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach |
| title_sort | on the role of cortex basal ganglia interactions for category learning a neurocomputational approach |
| url | https://hdl.handle.net/1721.1/127798 |
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