Transformation of Visual Signals by Inhibitory Interneurons in Retinal Circuits

被引:22
|
作者
Jadzinsky, Pablo D. [1 ]
Baccus, Stephen A. [1 ]
机构
[1] Stanford Univ, Sch Med, Dept Neurobiol, Stanford, CA 94305 USA
来源
ANNUAL REVIEW OF NEUROSCIENCE, VOL 36 | 2013年 / 36卷
关键词
interneurons; computational models; neural circuits; AMACRINE CELLS; DIRECTION SELECTIVITY; GANGLION-CELLS; CONTRAST ADAPTATION; CHANNELS; OBJECT; SEGREGATION; COMPUTATION; STATISTICS; PATHWAY;
D O I
10.1146/annurev-neuro-062012-170315
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
One of the largest mysteries of the brain lies in understanding how higher-level computations are implemented by lower-level operations in neurons and synapses. In particular, in many brain regions inhibitory interneurons represent a diverse class of cells, the individual functional roles of which are unknown. We discuss here how the operations of inhibitory interneurons influence the behavior of a circuit, focusing on recent results in the vertebrate retina. A key role in this understanding is played by a common representation of the visual stimulus that can be applied at different stages. By considering how this stimulus representation changes at each location in the circuit, we can understand how neuron-level operations such as thresholds and inhibition yield circuit-level computations such as how stimulus selectivity and gain are controlled by local and peripheral visual stimuli.
引用
收藏
页码:403 / 428
页数:26
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