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Synaptic E-I Balance Underlies Efficient Neural Coding.

Shanglin Zhou¹, Yuguo Yu¹

¹State Key Laboratory of Medical Neurobiology, School of Life Science and the Collaborative Innovation Center for Brain Science, Institutes of Brain Science, Center for Computational Systems Biology, Fudan University, Shanghai, China.

Frontiers in Neuroscience

|February 20, 2018

Summary

This summary is machine-generated.

Neural circuits maintain a balance between excitation and inhibition for efficient information processing. This balance is crucial for stimulus representation and information propagation in the brain.

Keywords:

energy efficiency excitatory-inhibitory balance information propagation sparse coding stimulus representation

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Area of Science:

Neuroscience
Computational Neuroscience

Background:

Synaptic excitation and inhibition are critical for brain function.
Evidence suggests a balance between these forces in the cerebral cortex during rest and sensory processing.

Purpose of the Study:

To summarize evidence for neural circuit adjustments maintaining excitatory-inhibitory balance.
To discuss how this balance influences stimulus representation and information propagation.
To highlight the benefits of this balance for neural coding.

Main Methods:

Review of theoretical and experimental evidence.
Analysis of neural coding principles.

Main Results:

Neural circuits actively adjust to maintain excitatory-inhibitory balance.
This balance shapes how stimuli are represented and information is propagated.
Excitatory-inhibitory balance enhances the efficiency of neural coding.

Conclusions:

Excitatory-inhibitory balance is a fundamental mechanism in the cerebral cortex.
This balance is essential for efficient neural coding and information processing.