Dendritic computation for abstract rule-based flexible decision-making
Abstract
Intelligent behavior involves flexible integration of sensory input and abstract rule knowledge. Dendritic computation has been shown to contribute to top-down modulation of sensory processing; however, whether and how it is involved in flexible cognitive processing remains to be elucidated. Combining a rule-based flexible decision-making task with in vivo two-photon imaging and optogenetics in mice, we found that within single layer 5 extratelencephalic neurons in the auditory cortex, apical dendrites preferentially encoded the inferred abstract rule and somata preferentially represented sensory stimuli, whereas choice signals were present in both compartments. Optogenetic dendritic inhibition impaired rule-dependent somatic choice coding, supporting a task-relevant integration across the dendritic and somatic compartments. These results indicate that dendritic computation in cortical neurons mediates flexible behavior.
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Authors: Yuan Zhang, Yanhe Liu, Yu Hu, 张震坤 Zhang Zhenkun, Jie Du, Lele Cui, Qi Liu, Lin Zhong, Yu Xin, Ruiming Chai, Li Deng, Jingwei Pan, Jackie Schiller, Ning-long Xu
Institutions: Chinese Academy of Sciences, University of Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology, Technion – Israel Institute of Technology, Shanghai Center for Brain Science and Brain-Inspired Technology