دورية أكاديمية
Value-complexity tradeoff explains mouse navigational learning.
| العنوان: | Value-complexity tradeoff explains mouse navigational learning. |
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| المؤلفون: | Nadav Amir, Reut Suliman-Lavie, Maayan Tal, Sagiv Shifman, Naftali Tishby, Israel Nelken |
| المصدر: | PLoS Computational Biology, Vol 16, Iss 12, p e1008497 (2020) |
| بيانات النشر: | Public Library of Science (PLoS), 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Biology (General) |
| مصطلحات موضوعية: | Biology (General), QH301-705.5 |
| الوصف: | We introduce a novel methodology for describing animal behavior as a tradeoff between value and complexity, using the Morris Water Maze navigation task as a concrete example. We develop a dynamical system model of the Water Maze navigation task, solve its optimal control under varying complexity constraints, and analyze the learning process in terms of the value and complexity of swimming trajectories. The value of a trajectory is related to its energetic cost and is correlated with swimming time. Complexity is a novel learning metric which measures how unlikely is a trajectory to be generated by a naive animal. Our model is analytically tractable, provides good fit to observed behavior and reveals that the learning process is characterized by early value optimization followed by complexity reduction. Furthermore, complexity sensitively characterizes behavioral differences between mouse strains. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1553-734X 1553-7358 |
| Relation: | https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358 |
| DOI: | 10.1371/journal.pcbi.1008497 |
| URL الوصول: | https://doaj.org/article/07c20cfd10de4f8bb0447eeac8c112ea |
| رقم الأكسشن: | edsdoj.07c20cfd10de4f8bb0447eeac8c112ea |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 1553734X 15537358 |
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| DOI: | 10.1371/journal.pcbi.1008497 |