Cerebellar interpositus nucleus exhibits time-dependent errors and predictive responses
Abstract Learning is a functional state of the brain that should be understood as a continuous process, rather than being restricted to the very moment of its acquisition, storage, or retrieval. The cerebellum operates by comparing predicted states with actual states, learning from errors, and updat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-02-01
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| Series: | npj Science of Learning |
| Online Access: | https://doi.org/10.1038/s41539-024-00224-y |
| _version_ | 1797275871082446848 |
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| author | Gloria G. Parras José M. Delgado-García Juan Carlos López-Ramos Agnès Gruart Rocío Leal-Campanario |
| author_facet | Gloria G. Parras José M. Delgado-García Juan Carlos López-Ramos Agnès Gruart Rocío Leal-Campanario |
| author_sort | Gloria G. Parras |
| collection | DOAJ |
| description | Abstract Learning is a functional state of the brain that should be understood as a continuous process, rather than being restricted to the very moment of its acquisition, storage, or retrieval. The cerebellum operates by comparing predicted states with actual states, learning from errors, and updating its internal representation to minimize errors. In this regard, we studied cerebellar interpositus nucleus (IPn) functional capabilities by recording its unitary activity in behaving rabbits during an associative learning task: the classical conditioning of eyelid responses. We recorded IPn neurons in rabbits during classical eyeblink conditioning using a delay paradigm. We found that IPn neurons reduce error signals across conditioning sessions, simultaneously increasing and transmitting spikes before the onset of the unconditioned stimulus. Thus, IPn neurons generate predictions that optimize in time and shape the conditioned eyeblink response. Our results are consistent with the idea that the cerebellum works under Bayesian rules updating the weights using the previous history. |
| first_indexed | 2024-03-07T15:20:14Z |
| format | Article |
| id | doaj.art-b0c0384e1f444bbdb8e00a80c1223da7 |
| institution | Directory Open Access Journal |
| issn | 2056-7936 |
| language | English |
| last_indexed | 2024-03-07T15:20:14Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Science of Learning |
| spelling | doaj.art-b0c0384e1f444bbdb8e00a80c1223da72024-03-05T17:44:10ZengNature Portfolionpj Science of Learning2056-79362024-02-019111110.1038/s41539-024-00224-yCerebellar interpositus nucleus exhibits time-dependent errors and predictive responsesGloria G. Parras0José M. Delgado-García1Juan Carlos López-Ramos2Agnès Gruart3Rocío Leal-Campanario4Division of Neurosciences, Universidad Pablo de OlavideDivision of Neurosciences, Universidad Pablo de OlavideDivision of Neurosciences, Universidad Pablo de OlavideDivision of Neurosciences, Universidad Pablo de OlavideDivision of Neurosciences, Universidad Pablo de OlavideAbstract Learning is a functional state of the brain that should be understood as a continuous process, rather than being restricted to the very moment of its acquisition, storage, or retrieval. The cerebellum operates by comparing predicted states with actual states, learning from errors, and updating its internal representation to minimize errors. In this regard, we studied cerebellar interpositus nucleus (IPn) functional capabilities by recording its unitary activity in behaving rabbits during an associative learning task: the classical conditioning of eyelid responses. We recorded IPn neurons in rabbits during classical eyeblink conditioning using a delay paradigm. We found that IPn neurons reduce error signals across conditioning sessions, simultaneously increasing and transmitting spikes before the onset of the unconditioned stimulus. Thus, IPn neurons generate predictions that optimize in time and shape the conditioned eyeblink response. Our results are consistent with the idea that the cerebellum works under Bayesian rules updating the weights using the previous history.https://doi.org/10.1038/s41539-024-00224-y |
| spellingShingle | Gloria G. Parras José M. Delgado-García Juan Carlos López-Ramos Agnès Gruart Rocío Leal-Campanario Cerebellar interpositus nucleus exhibits time-dependent errors and predictive responses npj Science of Learning |
| title | Cerebellar interpositus nucleus exhibits time-dependent errors and predictive responses |
| title_full | Cerebellar interpositus nucleus exhibits time-dependent errors and predictive responses |
| title_fullStr | Cerebellar interpositus nucleus exhibits time-dependent errors and predictive responses |
| title_full_unstemmed | Cerebellar interpositus nucleus exhibits time-dependent errors and predictive responses |
| title_short | Cerebellar interpositus nucleus exhibits time-dependent errors and predictive responses |
| title_sort | cerebellar interpositus nucleus exhibits time dependent errors and predictive responses |
| url | https://doi.org/10.1038/s41539-024-00224-y |
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