Network anatomy and in vivo physiology of visual cortical neurons (original) (raw)

References

  1. Ramón y Cajal, S. Textura del Sistema Nervioso del Hombre y de los Vertebrados (Moya, 1904)
    Google Scholar
  2. Binzegger, T., Douglas, R. J. & Martin, K. A. A quantitative map of the circuit of cat primary visual cortex. J. Neurosci. 24, 8441–8453 (2004)
    Article CAS Google Scholar
  3. Stepanyants, A. et al. Local potential connectivity in cat primary visual cortex. Cereb. Cortex 18, 13–28 (2008)
    Article Google Scholar
  4. Mason, A., Nicoll, A. & Stratford, K. Synaptic transmission between individual pyramidal neurons of the rat visual cortex in vitro. J. Neurosci. 11, 72–84 (1991)
    Article CAS Google Scholar
  5. Markram, H., Lubke, J., Frotscher, M., Roth, A. & Sakmann, B. Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex. J. Physiol. (Lond.) 500, 409–440 (1997)
    Article CAS Google Scholar
  6. Thomson, A. M. & Bannister, A. P. Interlaminar connections in the neocortex. Cereb. Cortex 13, 5–14 (2003)
    Article Google Scholar
  7. Braitenberg, V. & Schüz, A. Cortex : Statistics and Geometry of Neuronal Connectivity 2nd edn (Springer, Berlin, 1998)
    Book Google Scholar
  8. Song, S., Sjostrom, P. J., Reigl, M., Nelson, S. & Chklovskii, D. B. Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biol. 3, e68 (2005)
    Article Google Scholar
  9. Yoshimura, Y. & Callaway, E. M. Fine-scale specificity of cortical networks depends on inhibitory cell type and connectivity. Nature Neurosci. 8, 1552–1559 (2005)
    Article CAS Google Scholar
  10. Yoshimura, Y., Dantzker, J. L. & Callaway, E. M. Excitatory cortical neurons form fine-scale functional networks. Nature 433, 868–873 (2005)
    Article ADS CAS Google Scholar
  11. Heuser, J. E. et al. Synaptic vesicle exocytosis captured by quick freezing and correlated with quantal transmitter release. J. Cell Biol. 81, 275–300 (1979)
    Article CAS Google Scholar
  12. White, J. G., Southgate, E., Thomson, J. N. & Brenner, S. The structure of the nervous system of the nematode Caenorhabditis elegans . Phil. Trans. R. Soc. Lond. B 314, 1–340 (1986)
    Article ADS CAS Google Scholar
  13. Sorra, K. E. & Harris, K. M. Stability in synapse number and size at 2 hr after long-term potentiation in hippocampal area CA1. J. Neurosci. 18, 658–671 (1998)
    Article CAS Google Scholar
  14. Dacheux, R. F. & Raviola, E. The rod pathway in the rabbit retina: a depolarizing bipolar and amacrine cell. J. Neurosci. 6, 331–345 (1986)
    Article CAS Google Scholar
  15. Sterling, P. Microcircuitry of the cat retina. Annu. Rev. Neurosci. 6, 149–185 (1983)
    Article CAS Google Scholar
  16. Hamos, J. E., Van Horn, S. C., Raczkowski, D. & Sherman, S. M. Synaptic circuits involving an individual retinogeniculate axon in the cat. J. Comp. Neurol. 259, 165–192 (1987)
    Article CAS Google Scholar
  17. Kisvárday, Z. F. et al. Synaptic targets of HRP-filled layer III pyramidal cells in the cat striate cortex. Exp. Brain Res. 64, 541–552 (1986)
    Article Google Scholar
  18. Anderson, J. C., Douglas, R. J., Martin, K. A. & Nelson, J. C. Map of the synapses formed with the dendrites of spiny stellate neurons of cat visual cortex. J. Comp. Neurol. 341, 25–38 (1994)
    Article CAS Google Scholar
  19. Ahmed, B., Anderson, J. C., Martin, K. A. & Nelson, J. C. Map of the synapses onto layer 4 basket cells of the primary visual cortex of the cat. J. Comp. Neurol. 380, 230–242 (1997)
    Article CAS Google Scholar
  20. Tamas, G., Somogyi, P. & Buhl, E. H. Differentially interconnected networks of GABAergic interneurons in the visual cortex of the cat. J. Neurosci. 18, 4255–4270 (1998)
    Article CAS Google Scholar
  21. Shepherd, G. M. & Harris, K. M. Three-dimensional structure and composition of CA3→CA1 axons in rat hippocampal slices: implications for presynaptic connectivity and compartmentalization. J. Neurosci. 18, 8300–8310 (1998)
    Article CAS Google Scholar
  22. Mishchenko, Y. et al. Ultrastructural analysis of hippocampal neuropil from the connectomics perspective. Neuron 67, 1009–1020 (2010)
    Article CAS Google Scholar
  23. Anderson, J. R. et al. A computational framework for ultrastructural mapping of neural circuitry. PLoS Biol. 7, e1000074 (2009)
    Article Google Scholar
  24. Sohya, K., Kameyama, K., Yanagawa, Y., Obata, K. & Tsumoto, T. GABAergic neurons are less selective to stimulus orientation than excitatory neurons in layer II/III of visual cortex, as revealed by in vivo functional Ca2+ imaging in transgenic mice. J. Neurosci. 27, 2145–2149 (2007)
    Article CAS Google Scholar
  25. Niell, C. M. & Stryker, M. P. Highly selective receptive fields in mouse visual cortex. J. Neurosci. 28, 7520–7536 (2008)
    Article CAS Google Scholar
  26. Liu, B. H. et al. Visual receptive field structure of cortical inhibitory neurons revealed by two-photon imaging guided recording. J. Neurosci. 29, 10520–10532 (2009)
    Article CAS Google Scholar
  27. Kerlin, A. M., Andermann, M. L., Berezovskii, V. K. & Reid, R. C. Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex. Neuron 67, 858–871 (2010)
    Article CAS Google Scholar
  28. Runyan, C. A. et al. Response features of parvalbumin-expressing interneurons suggest precise roles for subtypes of inhibition in visual cortex. Neuron 67, 847–857 (2010)
    Article CAS Google Scholar
  29. Ma, W. P. et al. Visual representations by cortical somatostatin inhibitory neurons — selective but with weak and delayed responses. J. Neurosci. 30, 14371–14379 (2010)
    Article CAS Google Scholar
  30. Ohki, K., Chung, S., Ch'ng, Y. H., Kara, P. & Reid, R. C. Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex. Nature 433, 597–603 (2005)
    Article ADS CAS Google Scholar
  31. Stosiek, C., Garaschuk, O., Holthoff, K. & Konnerth, A. In vivo two-photon calcium imaging of neuronal networks. Proc. Natl Acad. Sci. USA 100, 7319–7324 (2003)
    Article ADS CAS Google Scholar
  32. Harris, K. M. et al. Uniform serial sectioning for transmission electron microscopy. J. Neurosci. 26, 12101–12103 (2006)
    Article CAS Google Scholar
  33. Peters, A., Palay, S. L. & Webster, H. D. The Fine Structure of the Nervous System : Neurons and Their Supporting Cells 3rd edn (Oxford Univ. Press, 1991)
    Google Scholar
  34. Alitto, H. J. & Dan, Y. Function of inhibition in visual cortical processing. Curr. Opin. Neurobiol. 20, 340–346 (2010)
    Article CAS Google Scholar
  35. Liu, B. H. et al. Intervening inhibition underlies simple-cell receptive field structure in visual cortex. Nature Neurosci. 13, 89–96 (2010)
    Article CAS Google Scholar
  36. Reynolds, J. H. & Heeger, D. J. The normalization model of attention. Neuron 61, 168–185 (2009)
    Article CAS Google Scholar
  37. Helmstaedter, M., Briggman, K. L. & Denk, W. 3D structural imaging of the brain with photons and electrons. Curr. Opin. Neurobiol. 18, 633–641 (2008)
    Article CAS Google Scholar
  38. Turaga, S. C. et al. Convolutional networks can learn to generate affinity graphs for image segmentation. Neural Comput. 22, 511–538 (2010)
    Article Google Scholar
  39. Peters, A. & Kara, D. A. The neuronal composition of area 17 of rat visual cortex. II. The nonpyramidal cells. J. Comp. Neurol. 234, 242–263 (1985)
    Article CAS Google Scholar
  40. White, E. L. & Keller, A. Cortical Circuits: Synaptic Organization of the Cerebral Cortex — Structure, Function and Theory (Birkhauser, 1989)
    Book Google Scholar
  41. Markram, H. et al. Interneurons of the neocortical inhibitory system. Nature Rev. Neurosci. 5, 793–807 (2004)
    Article CAS Google Scholar
  42. McGuire, B. A., Gilbert, C. D., Rivlin, P. K. & Wiesel, T. N. Targets of horizontal connections in macaque primary visual cortex. J. Comp. Neurol. 305, 370–392 (1991)
    Article CAS Google Scholar
  43. Holmgren, C., Harkany, T., Svennenfors, B. & Zilberter, Y. Pyramidal cell communication within local networks in layer 2/3 of rat neocortex. J. Physiol. (Lond.) 551, 139–153 (2003)
    Article CAS Google Scholar
  44. Thomson, A. M., West, D. C., Wang, Y. & Bannister, A. P. Synaptic connections and small circuits involving excitatory and inhibitory neurons in layers 2-5 of adult rat and cat neocortex: triple intracellular recordings and biocytin labelling in vitro . Cereb. Cortex 12, 936–953 (2002)
    Article Google Scholar
  45. Denk, W. & Horstmann, H. Serial block-face scanning electron microscopy to reconstruct three-dimensional tissue nanostructure. PLoS Biol. 2, e329 (2004)
    Article Google Scholar
  46. Hayworth, K., Kasthuri, N., Schalek, R. & Lichtman, J. Automating the collection of ultrathin serial sections for large volume TEM reconstructions. Microsc. Microanal. 12, 86–87 (2006)
    Article ADS Google Scholar
  47. Jia, H., Rochefort, N. L., Chen, X. & Konnerth, A. Dendritic organization of sensory input to cortical neurons in vivo. Nature 464, 1307–1312 (2010)
    Article ADS CAS Google Scholar
  48. Ohki, K. & Reid, R. C. Specificity and randomness in the visual cortex. Curr. Opin. Neurobiol. 17, 401–407 (2007)
    Article CAS Google Scholar
  49. Grewe, B. F. & Helmchen, F. Optical probing of neuronal ensemble activity. Curr. Opin. Neurobiol. 19, 520–529 (2009)
    Article CAS Google Scholar
  50. Tian, L. et al. Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators. Nature Methods 6, 875–881 (2009)
    Article CAS Google Scholar
  51. Feng, G. et al. Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP. Neuron 28, 41–51 (2000)
    Article CAS Google Scholar
  52. Peltier, S. et al. Design of a new 8k x 8k lens coupled detector for wide-field, high-resolution transmission electron microscopy. Microsc. Microanal. 11, 610–611 (2005)
    Article Google Scholar
  53. Martone, M. E. et al. A cell-centered database for electron tomographic data. J. Struct. Biol. 138, 145–155 (2002)
    Article ADS CAS Google Scholar
  54. Cardona, A. et al. An integrated micro- and macroarchitectural analysis of the Drosophila brain by computer-assisted serial section electron microscopy. PLoS Biol. 8, e1000502 (2010)
    Article Google Scholar
  55. Fiala, J. C. & Harris, K. M. Cylindrical diameters method for calibrating section thickness in serial electron microscopy. J. Microsc. 202, 468–472 (2001)
    Article MathSciNet CAS Google Scholar
  56. Ringach, D. L., Shapley, R. M. & Hawken, M. J. Orientation selectivity in macaque V1: diversity and laminar dependence. J. Neurosci. 22, 5639–5651 (2002)
    Article CAS Google Scholar
  57. Worgotter, F. & Eysel, U. T. Quantitative determination of orientational and directional components in the response of visual cortical cells to moving stimuli. Biol. Cybern. 57, 349–355 (1987)
    Article CAS Google Scholar

Download references