Unique Spatial Integration in Mouse Primary Visual Cortex and Higher Visual Areas

被引:17
|
作者
Murgas, Kevin A. [1 ]
Wilson, Ashley M. [1 ]
Michael, Valerie [1 ]
Glickfeld, Lindsey L. [1 ]
机构
[1] Duke Univ, Dept Neurobiol, Med Ctr, Durham, NC 27710 USA
关键词
calcium imaging; contrast; mouse visual cortex; normalization; size tuning; surround suppression; RECEPTIVE-FIELDS; FUNCTIONAL SPECIALIZATION; RESPONSE PROPERTIES; NEURONS; MOTION; ORGANIZATION; ARCHITECTURE; SEGREGATION; SENSITIVITY; PROJECTIONS;
D O I
10.1523/JNEUROSCI.1997-19.2020
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Neurons in the visual system integrate over a wide range of spatial scales. This diversity is thought to enable both local and global computations. To understand how spatial information is encoded across the mouse visual system, we use two-photon imaging to measure receptive fields (RFs) and size-tuning in primary visual cortex (V1) and three downstream higher visual areas (HVAs: LM (lateromedial), AL (anterolateral), and PM (posteromedial)) in mice of both sexes. Neurons in PM, compared with V1 or the other HVAs, have significantly larger RF sizes and less surround suppression, independent of stimulus eccentricity or contrast. To understand how this specialization of RFs arises in the HVAs, we measured the spatial properties of V1 inputs to each area. Spatial integration of V1 axons was remarkably similar across areas and significantly different from the tuning of neurons in their target HVAs. Thus, unlike other visual features studied in this system, specialization of spatial integration in PM cannot be explained by specific projections from V1 to the HVAs. Further, the differences in RF properties could not be explained by differences in convergence of V1 inputs to the HVAs. Instead, our data suggest that distinct inputs from other areas or connectivity within PM may support the area's unique ability to encode global features of the visual scene, whereas V1, LM, and AL may be more specialized for processing local features.
引用
收藏
页码:1862 / 1873
页数:12
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