Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling
An animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Here we propose a neural algorithm that can solve all these problems and operates reliably in diverse and complex environmen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2024-02-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/84141 |
| _version_ | 1797289401484574720 |
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| author | Tony Zhang Matthew Rosenberg Zeyu Jing Pietro Perona Markus Meister |
| author_facet | Tony Zhang Matthew Rosenberg Zeyu Jing Pietro Perona Markus Meister |
| author_sort | Tony Zhang |
| collection | DOAJ |
| description | An animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Here we propose a neural algorithm that can solve all these problems and operates reliably in diverse and complex environments. At its core, the mechanism makes use of a behavioral module common to all motile animals, namely the ability to follow an odor to its source. We show how the brain can learn to generate internal “virtual odors” that guide the animal to any location of interest. This endotaxis algorithm can be implemented with a simple 3-layer neural circuit using only biologically realistic structures and learning rules. Several neural components of this scheme are found in brains from insects to humans. Nature may have evolved a general mechanism for search and navigation on the ancient backbone of chemotaxis. |
| first_indexed | 2024-03-07T19:04:25Z |
| format | Article |
| id | doaj.art-84b5588ac97046e1a344f17c5c0df232 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-03-07T19:04:25Z |
| publishDate | 2024-02-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-84b5588ac97046e1a344f17c5c0df2322024-03-01T09:53:25ZengeLife Sciences Publications LtdeLife2050-084X2024-02-011210.7554/eLife.84141Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrollingTony Zhang0https://orcid.org/0000-0002-5198-499XMatthew Rosenberg1Zeyu Jing2Pietro Perona3Markus Meister4https://orcid.org/0000-0003-2136-6506Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United StatesDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States; Center for the Physics of Biological Function, Princeton University, Princeton, United StatesDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United StatesDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, United StatesDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United StatesAn animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Here we propose a neural algorithm that can solve all these problems and operates reliably in diverse and complex environments. At its core, the mechanism makes use of a behavioral module common to all motile animals, namely the ability to follow an odor to its source. We show how the brain can learn to generate internal “virtual odors” that guide the animal to any location of interest. This endotaxis algorithm can be implemented with a simple 3-layer neural circuit using only biologically realistic structures and learning rules. Several neural components of this scheme are found in brains from insects to humans. Nature may have evolved a general mechanism for search and navigation on the ancient backbone of chemotaxis.https://elifesciences.org/articles/84141rapid learningnavigationneural circuit |
| spellingShingle | Tony Zhang Matthew Rosenberg Zeyu Jing Pietro Perona Markus Meister Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling eLife rapid learning navigation neural circuit |
| title | Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling |
| title_full | Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling |
| title_fullStr | Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling |
| title_full_unstemmed | Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling |
| title_short | Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling |
| title_sort | endotaxis a neuromorphic algorithm for mapping goal learning navigation and patrolling |
| topic | rapid learning navigation neural circuit |
| url | https://elifesciences.org/articles/84141 |
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