Functional organization of excitatory synaptic strength in primary visual cortex

Nature

Volumn 518, Issue 7539, 2015, Pages 399-403

  Cossell, Lee ^a,b   Iacaruso, Maria Florencia ^a,b   Muir, Dylan R ^b   Houlton, Rachael ^a   Sader, Elie N ^a   Ko, Ho ^a,c   Hofer, Sonja B ^a,b   Mrsic Flogel, Thomas D ^a,b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF BASEL   (Switzerland)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

NEUROLOGY; PHYSIOLOGICAL RESPONSE; RODENT; SPATIAL ANALYSIS;

ANIMAL CELL; ARTICLE; IN VITRO STUDY; IN VIVO STUDY; MOUSE; NERVE CELL NETWORK; NERVE CELL STIMULATION; NONHUMAN; PRIORITY JOURNAL; PYRAMIDAL NERVE CELL; RECEPTIVE FIELD; STRIATE CORTEX; SYNAPSE; WHOLE CELL PATCH CLAMP; ANIMAL; BIOLOGICAL MODEL; C57BL MOUSE; CYTOLOGY; EXCITATORY POSTSYNAPTIC POTENTIAL; FEMALE; MALE; NERVE TRACT; PHOTOSTIMULATION; PHYSIOLOGY; VISUAL CORTEX;

ANIMALS; EXCITATORY POSTSYNAPTIC POTENTIALS; FEMALE; MALE; MICE; MICE, INBRED C57BL; MODELS, NEUROLOGICAL; NEURAL PATHWAYS; PHOTIC STIMULATION; PYRAMIDAL CELLS; SYNAPSES; VISUAL CORTEX;

EID: 84923367237     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/nature14182     Document Type: Article

References (37)

1. Markram, H., Lübke, 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).
2. Feldmeyer, D., Lübke, J. & Sakmann, B. Efficacy and connectivity of intracolumnar pairs of layer 2/3 pyramidal cells in the barrel cortex of juvenile rats. J. Physiol. (Lond.) 575, 583-602 (2006).
3. 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).
4. Song, S., Sjö ström, P. J., Reigl,M., Nelson, S. & Chklovskii, D. B. Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biol. 3, e68 (2005).
5. Lefort, S., Tomm, C., Floyd Sarria, J. & Petersen, C. H. The excitatory neuronal network of theC2 barrel columnin mouse primarysomatosensory cortex. Neuron 61, 301-316 (2009).
6. Buzsáki, G. & Mizuseki, K. The log-dynamic brain: how skewed distributions affect network operations. Nature Rev. Neurosci. 15, 264-278 (2014).
7. Morishima, M., Morita, K., Kubota, Y. & Kawaguchi, Y. Highly differentiated projection-specific cortical subnetworks. J. Neurosci. 31, 10380-10391 (2011).
8. Levy, R. B. & Reyes, A. D. Spatial profile of excitatory and inhibitory synaptic connectivity inmouse primary auditory cortex. J. Neurosci. 32, 5609-5619 (2012).
9. Tarczy-Hornoch, K., Martin, K. A. C., Stratford, K. J. & Jack, J. J. Intracortical excitation of spiny neurons in layer 4 of cat striate cortex in vitro. Cereb. Cortex 9, 833-843 (1999).
10. Ko, H. et al. Functional specificity of local synaptic connections in neocortical networks. Nature 473, 87-91 (2011).
11. 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).
12. Smith, S. L. & Haüsser, M. Parallel processing of visual space by neighboring neurons in mouse visual cortex. Nature Neurosci. 13, 1144-1149 (2010).
13. Bonin, V., Histed, M. H., Yurgenson, S. & Reid, R. C. Local diversity and fine-scale organization of receptive fields in mouse visual cortex. J. Neurosci. 31, 18506-18521 (2011).
14. Niell, C.M. & Stryker, M. P. Highly selective receptive fields inmouse visual cortex. J. Neurosci. 28, 7520-7536 (2008).
15. Ko, H. et al. Theemergence of functional microcircuits in visual cortex. Nature 496, 96-100 (2013).
16. Carandini,M. et al. Do we know what the early visual systemdoes J. Neurosci. 25, 10577-10597 (2005).
17. Perin, R., Berger, T. K. & Markram, H. A synaptic organizing principle for cortical neuronal groups. Proc. Natl Acad. Sci. USA 108, 5419-5424 (2011).
18. Reid, R. C. & Alonso, J. M. Specificity ofmonosynaptic connections from thalamus to visual cortex. Nature 378, 281-284 (1995).
19. Lien, A. D. & Scanziani,M. Tuned thalamic excitation is amplified by visual cortical circuits. Nature Neurosci. 16, 1315-1323 (2013).
20. Li, Y.-T., Ibrahim, L. A., Liu, B.-H., Zhang, L. I. & Tao, H. W. Linear transformation of thalamocortical input by intracortical excitation. Nature Neurosci. 16, 1324-1330 (2013).
21. Tan, A. Y. Y., Brown, B. D., Scholl, B., Mohanty, D. & Priebe, N. J. Orientation selectivity of synaptic input to neurons in mouse and cat primary visual cortex. J. Neurosci. 31, 12339-12350 (2011).
22. Jia, H., Rochefort, N. L., Chen, X. & Konnerth, A. Dendritic organization of sensory input to cortical neurons in vivo. Nature 464, 1307-1312 (2010).
23. Smith, S. L., Smith, I., Branco, T. & Haüsser, M. Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo. Nature 503, 115-120 (2013).
24. Clopath, C., Bü sing, L., Vasilaki, E. & Gerstner, W. Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nature Neurosci. 13, 344-352 (2010).
25. Druckmann, S. & Chklovskii, D. B. Neuronal circuits underlying persistent representations despite time varying activity. Curr. Biol. 22, 2095-2103 (2012).
26. Li, L.-Y., Li, Y.-T., Zhou, M., Tao, H. W. & Zhang, L. I. Intracortical multiplication of thalamocortical signals in mouse auditory cortex. Nature Neurosci. 16, 1179-1181 (2013).
27. Douglas, R. J., Koch, C., Mahowald, M., Martin, K. A. & Suarez, H. H. Recurrent excitation in neocortical circuits. Science 269, 981-985 (1995).
28. Ben-Yishai, R., Bar-Or, R. L.&Sompolinsky, H. Theory of orientation tuning in visual cortex. Proc. Natl Acad. Sci. USA 92, 3844-3848 (1995).
29. Somers, D. C., Nelson, S. B. & Sur, M. An emergent model of orientation selectivity in cat visual cortical simple cells. J. Neurosci. 15, 5448-5465 (1995).
30. Mrsic-Flogel, T.D. et al.Homeostatic regulation of eye-specific responses in visual cortex during ocular dominance plasticity. Neuron 54, 961-972 (2007).
31. Nimmerjahn, A., Kirchhoff, F., Kerr, J. N. D. & Helmchen, F. Sulforhodamine 101 as a specific marker of astroglia in the neocortex in vivo. Nature Methods 1, 1-7 (2004).
32. Brainard, D. H. The psychophysics toolbox. Spat. Vis. 10, 433-436 (1997).
33. Pelli, D. G. The VideoToolbox software for visual psychophysics: transforming numbers into movies. Spat. Vis. 10, 437-442 (1997).
34. Vogelstein, J. T. et al. Fast nonnegative deconvolution for spike train inference from population calcium imaging. J. Neurophysiol. 104, 3691-3704 (2010).
35. Hofer, S. B. et al. Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex. Nature Neurosci. 14, 1045-1052 (2011).
36. Margrie, T. W., Brecht, M. & Sakmann, B. In vivo, low-resistance, whole-cell recordings from neurons in the anaesthetized and awake mammalian brain. Pflugers Arch. 444, 491-498 (2002).
37. Smyth, D., Willmore, B., Baker, G. E., Thompson, I. D. & Tolhurst, D. J. The receptive-field organization of simple cells in primary visual cortex of ferrets under natural scene stimulation. J. Neurosci. 23, 4746-4759 (2003).