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Synaptic E-I Balance Underlies Efficient Neural Coding

delete2018-02-02
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OA
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Shanglin Zhou
于玉国 (Yuguo Yu) *
DOI:10.3389/fnins.2018.00046delete
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Abstract

Abstract

En 中文
Both theoretical and experimental evidence indicate that synaptic excitation and inhibition in the cerebral cortex are well-balanced during the resting state and sensory processing. Here, we briefly summarize the evidence for how neural circuits are adjusted to achieve this balance. Then, we discuss how such excitatory and inhibitory balance shapes stimulus representation and information propagation, two basic functions of neural coding. We also point out the benefit of adopting such a balance during neural coding. We conclude that excitatory and inhibitory balance may be a fundamental mechanism underlying efficient coding.
Keywords:
stimulus representation
information propagation
excitatory-inhibitory balance
sparse coding
energy efficiency
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Journal

Frontiers in Neuroscience cover
Frontiers in Neuroscience
IF:
3.2
Papers:
1.6W
Citations:
5.3W

Organization

F
fudan university
Scholars:
11.7W
Papers: 7.7W
Citations: 121