混合选择性:为复杂性进行细胞计算

Kay M Tye1, Earl K Miller2, Felix H Taschbach3

  • 1Salk Institute for Biological Studies, La Jolla, CA, USA; Howard Hughes Medical Institute, La Jolla, CA; Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA; Kavli Institute for Brain and Mind, San Diego, CA, USA.

Neuron
|May 10, 2024
PubMed
概括

这项研究解释了神经元如何实现混合选择性,响应多个变量. 神经回路中的非线性混合选择性提供了灵活性,与封闭机制动态管理信息传输.

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