Network anatomy and in vivo physiology of visual cortical neurons

被引:611
作者
Bock, Davi D. [1 ,2 ]
Lee, Wei-Chung Allen [1 ,2 ]
Kerlin, Aaron M. [1 ]
Andermann, Mark L. [1 ]
Hood, Greg [3 ]
Wetzel, Arthur W. [3 ]
Yurgenson, Sergey [1 ]
Soucy, Edward R. [2 ]
Kim, Hyon Suk [1 ,2 ]
Reid, R. Clay [1 ,2 ]
机构
[1] Harvard Univ, Sch Med, Dept Neurobiol, Boston, MA 02115 USA
[2] Harvard Univ, Ctr Brain Sci, Cambridge, MA 02138 USA
[3] Carnegie Mellon Univ, Pittsburgh Supercomp Ctr, Pittsburgh, PA 15213 USA
关键词
INHIBITORY NEURONS; SYNAPTIC CONNECTIONS; PYRAMIDAL NEURONS; RAT; CORTEX; INTERNEURONS; CELLS; MAP; TRANSMISSION; ORIENTATION;
D O I
10.1038/nature09802
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In the cerebral cortex, local circuits consist of tens of thousands of neurons, each of which makes thousands of synaptic connections. Perhaps the biggest impediment to understanding these networks is that we have no wiring diagrams of their interconnections. Even if we had a partial or complete wiring diagram, however, understanding the network would also require information about each neuron's function. Here we show that the relationship between structure and function can be studied in the cortex with a combination of in vivo physiology and network anatomy. We used two-photon calcium imaging to characterize a functional property-the preferred stimulus orientation-of a group of neurons in the mouse primary visual cortex. Large-scale electron microscopy of serial thin sections was then used to trace a portion of these neurons' local network. Consistent with a prediction from recent physiological experiments, inhibitory interneurons received convergent anatomical input from nearby excitatory neurons with a broad range of preferred orientations, although weak biases could not be rejected.
引用
收藏
页码:177 / U59
页数:8
相关论文
共 57 条
[31]   Highly selective receptive fields in mouse visual cortex [J].
Niell, Cristopher M. ;
Stryker, Michael P. .
JOURNAL OF NEUROSCIENCE, 2008, 28 (30) :7520-7536
[32]   Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex [J].
Ohki, K ;
Chung, S ;
Ch'ng, YH ;
Kara, P ;
Reid, RC .
NATURE, 2005, 433 (7026) :597-603
[33]   Specificity and randomness in the visual cortex [J].
Ohki, Kenichi ;
Reid, R. Clay .
CURRENT OPINION IN NEUROBIOLOGY, 2007, 17 (04) :401-407
[34]  
Peltier S., 2005, Microsc Microanal, P610
[35]   THE NEURONAL COMPOSITION OF AREA-17 OF RAT VISUAL-CORTEX .2. THE NONPYRAMIDAL CELLS [J].
PETERS, A ;
KARA, DA .
JOURNAL OF COMPARATIVE NEUROLOGY, 1985, 234 (02) :242-263
[36]  
Peters A., 1991, The fine structure of the nervous system: Neurons and their supporting cells, V3rd ed.
[37]  
Ramn y Cajal S., 1904, Textura del Sistema Nervioso del Hombre y de los Vertebrados (Tomo II)
[38]   The Normalization Model of Attention [J].
Reynolds, John H. ;
Heeger, David J. .
NEURON, 2009, 61 (02) :168-185
[39]  
Ringach DL, 2002, J NEUROSCI, V22, P5639
[40]   Response Features of Parvalbumin-Expressing Interneurons Suggest Precise Roles for Subtypes of Inhibition in Visual Cortex [J].
Runyan, Caroline A. ;
Schummers, James ;
Van Wart, Audra ;
Kuhlman, Sandra J. ;
Wilson, Nathan R. ;
Huang, Z. Josh ;
Sur, Mriganka .
NEURON, 2010, 67 (05) :847-857