Suppression of cortical neural variability is stimulus- and state-dependent

Journal of Neurophysiology

Volumn 108, Issue 9, 2012, Pages 2383-2392

  White, Benjamin ^a   Abbott, L F ^b   Fiser, József ^a  

^a BRANDEIS UNIVERSITY   (United States)

^b College of Physicians and Surgeons ^*  (United States)

Author keywords

Anesthesia; Spontaneous activity; Variability; Vision

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; BRAIN CELL; BRAIN CORTEX; CELL ACTIVITY; EVOKED VISUAL RESPONSE; NOISE REDUCTION; NONHUMAN; PRIORITY JOURNAL; RAT; SIGNAL NOISE RATIO; STRIATE CORTEX; VISUAL STIMULATION;

ANALYSIS OF VARIANCE; ANESTHETICS, INHALATION; ANIMALS; EVOKED POTENTIALS, VISUAL; ISOFLURANE; PHOTIC STIMULATION; RATS; RATS, LONG-EVANS; SIGNAL-TO-NOISE RATIO; VISUAL CORTEX;

EID: 84868334630     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.00723.2011     Document Type: Article

References (37)

1. Alkire MT, Hudetz AG, Tononi G. Consciousness and anesthesia. Science 322: 876-880, 2008.
2. Arieli A, Sterkin A, Grinvald A, Aertsen A. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science 273: 1868-1871, 1996.
3. Berkes P, Orbán G, Lengyel M, Fiser J. Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment. Science 331: 83-87, 2011.
4. Brainard DH. The Psychophysics Toolbox. Spat Vis 10: 443-446, 1997.
5. Campagna JA, Miller KW, Forman SA. Mechanisms of actions of inhaled anesthetics. N Engl J Med 348: 2110-2124, 2003.
6. Churchland MM, Yu BM, Cunningham JP, Sugrue LP, Cohen MR, Corrado GS, Newsome WT, Clark AM, Hosseini P, Scott BB, Bradley DC, Smith MA, Kohn A, Movshon JA, Armstrong KM, Moore T, Chang SW, Snyder LH, Lisberger SG, Priebe NJ, Finn IM, Ferster D, Ryu SI, Santhanam G, Sahani M, Shenoy KV. Stimulus onset quenches neural variability: a widespread cortical phenomenon. Nat Neurosci 13: 369-378, 2010.
7. Cohen MR, Maunsell JH. Attention improves performance primarily by reducing interneuronal correlations. Nat Neurosci 12: 1594-1600, 2009.
8. de Ruyter van Steveninck RR, Lewen GD, Strong SP, Koberle R, Bialek W. Reproducibility and variability in neural spike trains. Science 275: 1805-1808, 1997.
9. Destexhe A, Contreras D, Steriade M. Spatiotemporal analysis of local field potentials and unit discharges in cat cerebral cortex during natural wake and sleep states. J Neurosci 19: 4595-4608, 1999.
10. Ditlevsen S, Lansky P. Firing variability is higher than deduced from the empirical coefficient of variation. Neural Comput 23: 1944-1966, 2011.
11. Erchova IA, Lebedev MA, Diamond ME. Somatosensory cortical neuronal population activity across states of anaesthesia. Eur J Neurosci 15: 744-752, 2002.
12. Finn IM, Priebe NJ, Ferster D. The emergence of contrast-invariant orientation tuning in simple cells of cat visual cortex. Neuron 54: 137-152, 2007.
13. Fiser J, Chiu CY, Weliky M. Small modulation of ongoing cortical dynamics by sensory input during natural vision. Nature 431: 573-578, 2004.
14. Fox MD, Raichle ME. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8: 700-711, 2007.
15. Gershon ED, Wiener MC, Latham PE, Richmond BJ. Coding strategies in monkey V1 and inferior temporal cortices. J Neurophysiol 79: 1135-1144, 1998.
16. Gur M, Beylin A, Snodderly DM. Response variability of neurons in primary visual cortex (V1) of alert monkeys. J Neurosci 17: 2914-2920, 1997.
17. Horwitz GD, Newsome WT. Target selection for saccadic eye movements: prelude activity in the superior colliculus during a direction-discrimination task. J Neurophysiol 86: 2543-2558, 2001.
18. Hudetz AG, Imas OA. Burst activation of the cerebral cortex by flash stimuli during isoflurane anesthesia in rats. Anesthesiology 107: 983-991, 2007.
19. Ikeda H, Wright MJ. Sensitivity of neurones in visual cortex (area 17) under different levels of anaesthesia. Exp Brain Res 20: 471-484, 1974.
20. Imas OA, Ropella KM, Wood JD, Hudetz AG. Isoflurane disrupts anterioposterior phase synchronization of flash-induced field potentials in the rat. Neurosci Lett 402: 216-221, 2006.
21. Kara P, Reinagel P, Reid RC. Low response variability in simultaneously recorded retinal, thalamic, and cortical neurons. Neuron 27: 635-646, 2000.
22. Kroeger D, Amzica F. Hypersensitivity of the anesthesia-induced comatose brain. J Neurosci 27: 10597-10607, 2007.
23. Lyamzin DR, Macke JH, Lesica NA. Modeling population spike trains with specified time-varying spike rates, trial-to-trial variability, and pairwise signal and noise correlations. Front Comput Neurosci 4: 144, 2010.
24. McCormick DA. Developmental neuroscience. Spontaneous activity: signal or noise? Science 285: 541-543, 1999.
25. Mitchell JF, Sundberg KA, Reynolds JH. Differential attention-dependent response modulation across cell classes in macaque visual area V4. Neuron 55: 131-141, 2007.
26. Monier C, Chavane F, Baudot P, Graham LJ, Fregnac Y. Orientation and direction selectivity of synaptic inputs in visual cortical neurons: a diversity of combinations produces spike tuning. Neuron 37: 663-680, 2003.
27. Nawrot MP, Boucsein C, Molina VR, Riehle A, Aertsen A, Rotter S. Measurement of variability dynamics in cortical spike trains. J Neurosci Methods 169: 374-390, 2008.
28. Rajan K, Abbott LF, Sompolinsky H. Stimulus-dependent suppression of chaos in recurrent neural networks. Phys Rev E Stat Nonlin Soft Matter Phys 82: 011903, 2010.
29. Rieke F, Warland D, de Ruyter van Stevenick R, Bialek W. Spikes: Exploring the Neural Code. Cambridge, MA: MIT Press, 1997.
30. Ringach D. Spontaneous and driven cortical activity: implications for computation. Curr Opin Neurobiol 19: 439-444, 2009.
31. Rudolph U, Antkowiak B. Molecular and neuronal substrates for general anaesthetics. Nat Rev Neurosci 5: 709-720, 2004.
32. Softky WR, Koch C. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J Neurosci 13: 334-350, 1993.
33. Super H, van der Togt C, Spekreijse H, Lamme VA. Internal state of monkey primary visual cortex (V1) predicts figure-ground perception. J Neurosci 23: 3407-3414, 2003.
34. Teich MC, Heneghan C, Lowen SB, Ozaki T, Kaplan E. Fractal character of the neural spike train in the visual system of the cat. J Opt Soc Am A 14: 529-546, 1997.
35. Tolhurst DJ, Movshon JA, Dean AF. The statistical reliability of signals in single neurons in cat and monkey visual-cortex. Vision Res 23: 775-785, 1983.
36. Vogel EK, Woodman GF, Luck SJ. The time course of consolidation in visual working memory. J Exp Psychol Hum Percept 32: 1436-1451, 2006.
37. Vogels R, Spileers W, Orban GA. The response variability of striate cortical neurons in the behaving monkey. Exp Brain Res 77: 432-436, 1989.