A neural network model of hippocampal contributions to category learning
In addition to its critical role in encoding individual episodes, the hippocampus is capable of extracting regularities across experiences. This ability is central to category learning, and a growing literature indicates that the hippocampus indeed makes important contributions to this form of learn...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2023-12-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/77185 |
| _version_ | 1797396436211466240 |
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| author | Jelena Sučević Anna C Schapiro |
| author_facet | Jelena Sučević Anna C Schapiro |
| author_sort | Jelena Sučević |
| collection | DOAJ |
| description | In addition to its critical role in encoding individual episodes, the hippocampus is capable of extracting regularities across experiences. This ability is central to category learning, and a growing literature indicates that the hippocampus indeed makes important contributions to this form of learning. Using a neural network model that mirrors the anatomy of the hippocampus, we investigated the mechanisms by which the hippocampus may support novel category learning. We simulated three category learning paradigms and evaluated the network’s ability to categorize and recognize specific exemplars in each. We found that the trisynaptic pathway within the hippocampus—connecting entorhinal cortex to dentate gyrus, CA3, and CA1—was critical for remembering exemplar-specific information, reflecting the rapid binding and pattern separation capabilities of this circuit. The monosynaptic pathway from entorhinal cortex to CA1, in contrast, specialized in detecting the regularities that define category structure across exemplars, supported by the use of distributed representations and a relatively slower learning rate. Together, the simulations provide an account of how the hippocampus and its constituent pathways support novel category learning. |
| first_indexed | 2024-03-09T00:51:16Z |
| format | Article |
| id | doaj.art-29a3a18e61424dcfa62002aa099b68ac |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-03-09T00:51:16Z |
| publishDate | 2023-12-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-29a3a18e61424dcfa62002aa099b68ac2023-12-11T17:11:12ZengeLife Sciences Publications LtdeLife2050-084X2023-12-011210.7554/eLife.77185A neural network model of hippocampal contributions to category learningJelena Sučević0https://orcid.org/0000-0001-5091-5434Anna C Schapiro1https://orcid.org/0000-0001-8086-0331Department of Experimental Psychology, University of Oxford, Oxford, United KingdomDepartment of Psychology, University of Pennsylvania, Philadelphia, United StatesIn addition to its critical role in encoding individual episodes, the hippocampus is capable of extracting regularities across experiences. This ability is central to category learning, and a growing literature indicates that the hippocampus indeed makes important contributions to this form of learning. Using a neural network model that mirrors the anatomy of the hippocampus, we investigated the mechanisms by which the hippocampus may support novel category learning. We simulated three category learning paradigms and evaluated the network’s ability to categorize and recognize specific exemplars in each. We found that the trisynaptic pathway within the hippocampus—connecting entorhinal cortex to dentate gyrus, CA3, and CA1—was critical for remembering exemplar-specific information, reflecting the rapid binding and pattern separation capabilities of this circuit. The monosynaptic pathway from entorhinal cortex to CA1, in contrast, specialized in detecting the regularities that define category structure across exemplars, supported by the use of distributed representations and a relatively slower learning rate. Together, the simulations provide an account of how the hippocampus and its constituent pathways support novel category learning.https://elifesciences.org/articles/77185hippocampusneural network modelcategory learning |
| spellingShingle | Jelena Sučević Anna C Schapiro A neural network model of hippocampal contributions to category learning eLife hippocampus neural network model category learning |
| title | A neural network model of hippocampal contributions to category learning |
| title_full | A neural network model of hippocampal contributions to category learning |
| title_fullStr | A neural network model of hippocampal contributions to category learning |
| title_full_unstemmed | A neural network model of hippocampal contributions to category learning |
| title_short | A neural network model of hippocampal contributions to category learning |
| title_sort | neural network model of hippocampal contributions to category learning |
| topic | hippocampus neural network model category learning |
| url | https://elifesciences.org/articles/77185 |
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