Spatial clustering of tuning in mouse primary visual cortex

被引:70
作者
Ringach, Dario L. [1 ,2 ]
Mineault, Patrick J. [1 ]
Tring, Elaine [1 ]
Olivas, Nicholas D. [1 ]
Garcia-Junco-Clemente, Pablo [1 ,3 ,4 ,5 ]
Trachtenberg, Joshua T. [1 ]
机构
[1] Univ Calif Los Angeles, David Geffen Sch Med, Dept Neurobiol, Los Angeles, CA 90095 USA
[2] Univ Calif Los Angeles, Dept Psychol, Los Angeles, CA 90095 USA
[3] Univ Seville, Inst Biomed Sevilla, IBiS, Hosp Univ Virgen del Roci,CSIC, Seville 41013, Spain
[4] Univ Seville, Dept Fisiol Med & Biofis, Seville 41013, Spain
[5] CIBERNED, Seville 41013, Spain
来源
NATURE COMMUNICATIONS | 2016年 / 7卷
关键词
EXCITATORY CORTICAL-NEURONS; RECEPTIVE-FIELD PROPERTIES; FUNCTIONAL ARCHITECTURE; INHIBITORY NEURONS; SINGLE NEURONS; SELECTIVITY; ORGANIZATION; SPECIFICITY; IDENTIFICATION; RANDOMNESS;
D O I
10.1038/ncomms12270
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
The primary visual cortex of higher mammals is organized into two-dimensional maps, where the preference of cells for stimulus parameters is arranged regularly on the cortical surface. In contrast, the preference of neurons in the rodent appears to be arranged randomly, in what is termed a salt-and-pepper map. Here we revisited the spatial organization of receptive fields in mouse primary visual cortex by measuring the tuning of pyramidal neurons in the joint orientation and spatial frequency domain. We found that the similarity of tuning decreases as a function of cortical distance, revealing a weak but statistically significant spatial clustering. Clustering was also observed across different cortical depths, consistent with a columnar organization. Thus, the mouse visual cortex is not strictly a salt-and-pepper map. At least on a local scale, it resembles a degraded version of the organization seen in higher mammals, hinting at a possible common origin.
引用
收藏
页数:9
相关论文
共 48 条
  • [1] Inferring input nonlinearities in neural encoding models
    Ahrens, Misha B.
    Paninski, Liam
    Sahani, Maneesh
    [J]. NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2008, 19 (01) : 35 - 67
  • [2] Local Diversity and Fine-Scale Organization of Receptive Fields in Mouse Visual Cortex
    Bonin, Vincent
    Histed, Mark H.
    Yurgenson, Sergey
    Reid, R. Clay
    [J]. JOURNAL OF NEUROSCIENCE, 2011, 31 (50) : 18506 - 18521
  • [3] Boyd S, 2004, CONVEX OPTIMIZATION
  • [4] Ultrasensitive fluorescent proteins for imaging neuronal activity
    Chen, Tsai-Wen
    Wardill, Trevor J.
    Sun, Yi
    Pulver, Stefan R.
    Renninger, Sabine L.
    Baohan, Amy
    Schreiter, Eric R.
    Kerr, Rex A.
    Orger, Michael B.
    Jayaraman, Vivek
    Looger, Loren L.
    Svoboda, Karel
    Kim, Douglas S.
    [J]. NATURE, 2013, 499 (7458) : 295 - +
  • [5] Maps in the brain: What can we learn from them?
    Chklovskii, DB
    Koulakov, AA
    [J]. ANNUAL REVIEW OF NEUROSCIENCE, 2004, 27 : 369 - 392
  • [6] Functional organization of excitatory synaptic strength in primary visual cortex
    Cossell, Lee
    Iacaruso, Maria Florencia
    Muir, Dylan R.
    Houlton, Rachael
    Sader, Elie N.
    Ko, Ho
    Hofer, Sonja B.
    Mrsic-Flogel, Thomas D.
    [J]. NATURE, 2015, 518 (7539) : 399 - 403
  • [7] Receptive field properties of single neurons in rat primary visual cortex
    Girman, SV
    Sauvé, Y
    Lund, RD
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 1999, 82 (01) : 301 - 311
  • [8] Automated correction of fast motion artifacts for two-photon imaging of awake animals
    Greenberg, David S.
    Kerr, Jason N. D.
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2009, 176 (01) : 1 - 15
  • [9] The Mechanism of Orientation Selectivity in Primary Visual Cortex without a Functional Map
    Hansel, David
    van Vreeswijk, Carl
    [J]. JOURNAL OF NEUROSCIENCE, 2012, 32 (12) : 4049 - 4064
  • [10] The cortical column: a structure without a function
    Horton, JC
    Adams, DL
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2005, 360 (1456) : 837 - 862