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
[1]  
Ahmed B, 1997, J COMP NEUROL, V380, P230
[2]   Function of inhibition in visual cortical processing [J].
Alitto, Henry J. ;
Dan, Yang .
CURRENT OPINION IN NEUROBIOLOGY, 2010, 20 (03) :340-346
[3]   A Computational Framework for Ultrastructural Mapping of Neural Circuitry [J].
Anderson, James R. ;
Jones, Bryan W. ;
Yang, Jia-Hui ;
Shaw, Marguerite V. ;
Watt, Carl B. ;
Koshevoy, Pavel ;
Spaltenstein, Joel ;
Jurrus, Elizabeth ;
Kannan, U., V ;
Whitaker, Ross T. ;
Mastronarde, David ;
Tasdizen, Tolga ;
Marc, Robert E. .
PLOS BIOLOGY, 2009, 7 (03) :493-512
[4]   MAP OF THE SYNAPSES FORMED WITH THE DENDRITES OF SPINY STELLATE NEURONS OF CAT VISUAL-CORTEX [J].
ANDERSON, JC ;
DOUGLAS, RJ ;
MARTIN, KAC ;
NELSON, JC .
JOURNAL OF COMPARATIVE NEUROLOGY, 1994, 341 (01) :25-38
[5]   A quantitative map of the circuit of cat primary visual cortex [J].
Binzegger, T ;
Douglas, RJ ;
Martin, KAC .
JOURNAL OF NEUROSCIENCE, 2004, 24 (39) :8441-8453
[6]  
Braitenberg V., 1998, Cortex: statistics and geometry of neuronal connectivity, DOI DOI 10.1007/978-3-662-03733-1_27
[7]   An Integrated Micro- and Macroarchitectural Analysis of the Drosophila Brain by Computer-Assisted Serial Section Electron Microscopy [J].
Cardona, Albert ;
Saalfeld, Stephan ;
Preibisch, Stephan ;
Schmid, Benjamin ;
Cheng, Anchi ;
Pulokas, Jim ;
Tomancak, Pavel ;
Hartenstein, Volker .
PLOS BIOLOGY, 2010, 8 (10)
[8]  
DACHEUX RF, 1986, J NEUROSCI, V6, P331
[9]   Serial block-face scanning electron microscopy to reconstruct three-dimensional tissue nanostructure [J].
Denk, W ;
Horstmann, H .
PLOS BIOLOGY, 2004, 2 (11) :1900-1909
[10]   Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP [J].
Feng, GP ;
Mellor, RH ;
Bernstein, M ;
Keller-Peck, C ;
Nguyen, QT ;
Wallace, M ;
Nerbonne, JM ;
Lichtman, JW ;
Sanes, JR .
NEURON, 2000, 28 (01) :41-51