Autor: |
Adam A. Atanas, Jungsoo Kim, Ziyu Wang, Eric Bueno, McCoy Becker, Di Kang, Jungyeon Park, Cassi Estrem, Talya S. Kramer, Saba Baskoylu, Vikash K. Mansingkha, Steven W. Flavell |
Rok vydání: |
2022 |
DOI: |
10.1101/2022.11.11.516186 |
Popis: |
SUMMARYChanges in an animal’s behavior and internal state are accompanied by widespread changes in activity across its brain. However, how neurons across the brain encode behavior and how this is impacted by state is poorly understood. We recorded brain-wide activity and the diverse motor programs of freely-movingC. elegansand built probabilistic models that explain how each neuron encodes quantitative features of the animal’s behavior. By determining the identities of the recorded neurons, we created, for the first time, an atlas of how the defined neuron classes in theC. elegansconnectome encode behavior. Many neuron classes have conjunctive representations of multiple behaviors. Moreover, while many neurons encode current motor actions, others encode recent actions. Changes in behavioral state are accompanied by widespread changes in how neurons encode behavior, and we identify these flexible nodes in the connectome. Our results provide a global map of how the cell types across an animal’s brain encode its behavior. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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