Relating neuronal firing patterns to functional differentiation of cerebral cortex

PLoS Computational Biology

Volumn 5, Issue 7, 2009, Pages

  Shinomoto, Shigeru ^a   Kim, Hideaki ^a   Shimokawa, Takeaki ^a   Matsuno, Nanae ^a   Funahashi, Shintaro ^b   Shima, Keisetsu ^c   Fujita, Ichiro ^d   Tamura, Hiroshi ^d   Doi, Taijiro ^d   Kawano, Kenji ^e   Inaba, Naoko ^e   Fukushima, Kikuro ^f   Kurkin, Sergei ^f   Kurata, Kiyoshi ^g   Taira, Masato ^h   Tsutsui, Ken Ichiro ⁱ   Komatsu, Hidehiko ^j   Ogawa, Tadashi ^e,j   Koida, Kowa ^j   Tanji, Jun ^k   Toyama, Keisuke ^l   more..

^a KYOTO UNIVERSITY   (Japan)

^b KYOTO UNIVERSITY   (Japan)

^c TOHOKU UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^d OSAKA UNIVERSITY   (Japan)

^e KYOTO UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^f HOKKAIDO UNIVERSITY   (Japan)

^g HIROSAKI UNIVERSITY   (Japan)

^h NIHON UNIVERSITY   (Japan)

ⁱ TOHOKU UNIVERSITY   (Japan)

^j NATIONAL INSTITUTE FOR PHYSIOLOGICAL SCIENCES   (Japan)

^k TAMAGAWA UNIVERSITY   (Japan)

^l ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

more..

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR ORGANIZATION; CEREBRAL CORTEX; CORTICAL AREAS; CORTICAL FUNCTIONS; DIFFERENT DENSITIES; FIRING PATTERNS; INTRINSIC FEATURES; NEURONAL FIRINGS; NEURONAL SIGNALLING; RATE FLUCTUATIONS;

NEURONS;

ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; BEHAVIOR; BRAIN CORTEX; BRAIN FUNCTION; CLINICAL FEATURE; MOTOR CORTEX; NERVE CONDUCTION; NEUROPHYSIOLOGY; NONHUMAN; PREFRONTAL CORTEX; SIGNAL TRANSDUCTION; SPIKE WAVE; VISUAL CORTEX; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; BRAIN MAPPING; CLUSTER ANALYSIS; HAPLORHINI; NERVE CELL; PHYSIOLOGY; REGRESSION ANALYSIS;

ACTION POTENTIALS; ANIMALS; BRAIN MAPPING; CEREBRAL CORTEX; CLUSTER ANALYSIS; HAPLORHINI; MODELS, NEUROLOGICAL; NEURONS; REGRESSION ANALYSIS;

EID: 68249088380     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000433     Document Type: Article

References (72)

1. Brodmann K (1905) Beiträge zur histologischen Lokalisation der Grosshirnrinde: dritte Mitteilung: Die Rindenfelder der niederen Affen. J Psychol Neurol 4: 177-226.
2. Van Essen DC, Anderson CH, Felleman DJ (1992) Information processing in the primate visual system: an integrated systems perspective. Science 255: 419-423.
3. Saper CB, Iversen S, Frackowiak R (2000) Integration of sensory and motor function: the association areas of the cerebral cortex and the cognitive capabilities of the brain. In: Kandel ER, Schwartz JH, Jessell TM, eds (2000) Principles of Neural Science, 4th ed. New York: McGraw-Hill. pp 349- 380.
4. Rizzolatti G, Luppino G (2001) The cortical motor system. Neuron 31: 889-901.
5. Abeles M (1991) Corticonics: Neural Circuits of the Cerebral Cortex. Cambridge: Cambridge University Press.
6. Ratnam R, Nelson ME (2000) Nonrenewal statistics of electrosensory afferent spike trains: implications for the detection of weak sensory signal. J Neurosci 20: 6672-6683. (Pubitemid 30834282)
7. Chacron MJ, Longtin A, Maler L (2001) Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli. J Neurosci 21: 5328-5343. (Pubitemid 32622959)
8. Reyes AD (2003) Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro. Nat Neurosci 6: 593-599.
9. Ikegaya Y, Aaron G, Cossart R, Aronov D, Lampl I, et al. (2004) Synfire chains and cortical songs: temporal modules of cortical activity. Science 304: 559-564. (Pubitemid 38541909)
10. Câteau H, Reyes AD (2006) Relation between single neuron and population spiking statistics and effects on network activity. Phys Rev Lett 96: 058101.
11. Teramae J, Fukai T (2007) Sequential associative memory with non-uniformity of the layer sizes. Phys Rev E 75: 011910. (Pubitemid 46134155)
12. Teramae J, Fukai T (2008) Complex evolution of spike patterns during burst propagation through feed-forward networks. Biol Cybern 99: 105-114.
13. Kuffler SW, Fitzhugh R, Barlow HB (1957) Maintained activity in the cat's retina in light and darkness. J Gen Physiol 40: 683-702.
14. Gerstein GL, Mandelbrot B (1964) Random walk models for the spike activity of a single neuron. Biophys J 4: 41-68.
15. Stein RB (1965) A theoretical analysis of neuronal variability. Biophys J 5: 173-194.
16. Baddeley R, Abbott LF, Booth MCA, Sengpiel F, Freeman T, et al. (1997) Responses of neurons in primary and inferior temporal visual cortices to natural scenes. Proc R Soc Lond B Biol Sci 264: 1775-1783. (Pubitemid 28021588)
17. Gershon ED, Wiener MC, Latham PE, Richmond BJ (1998) Coding strategies in monkey V1 and inferior temporal cortices. J Neurophysiol 79: 1135-1144. (Pubitemid 28125350)
18. Oram MW, Wiener MC, Lestienne R, Richmond BJ (1999) Stochastic nature of precisely timed spike patterns in visual system neuronal responses. J Neurophysiol 81: 3021-3033. (Pubitemid 29283955)
19. Baker SN, Lemon RN (2000) Precise spatiotemporal repeating patterns in monkey primary and supplementary motor areas occur at chance levels. J Neurophysiol 84: 1770-1780.
20. Wiener MC, Richmond BJ (2003) Decoding spike trains instant by instant using order statistics and the mixture-of-Poisson model. J Neurosci 23: 2394-2406.
21. Amarasingham A, Chen TL, Geman S, Harrison MT, Sheinberg DL (2006) Spike count reliability and the Poisson hypothesis. J Neurosci 26: 801-809. (Pubitemid 43237073)
22. Kostal L, Lansky P (2006) Classification of stationary neuronal activity according to its information rate. Network 17: 193-210. (Pubitemid 44024991)
23. Kostal L, Lansky P, Rospars JP (2007) Neuronal coding and spiking randomness. Eur J Neurosci 26: 2693-2701.
24. Berman M (1981) Inhomogeneous and modulated gamma processes. Biometrika 68: 143-152.
25. Ogata Y (1988) Statistical models for earthquake occurrences and residual analysis for point processes. J Am Stat Assoc 83: 9-27.
26. Reich DS, Victor JD, Knight BW (1998) The power ratio and the interval map: spiking models and extracellular recordings. J Neurosci 18: 10090-10104.
27. Barbieri R, Quirk MC, Frank LM, Wilson MA, Brown EN (2001) Construction and analysis of non-Poisson stimulus-response models of neural spiking activity. J Neurosci Methods 105: 25-37. (Pubitemid 32106917)
28. Koyama S, Shinomoto S (2005) Empirical Bayes interpretations of random point events. J Phys A 38: L531-L537. (Pubitemid 41016426)
29. Nawrot MP, Boucsein C, Rodriguez-Molina V, Riehle A, Aertsen A, et al. (2008) Measurement of variability dynamics in cortical spike trains. J Neurosci Methods 169: 374-390.
30. Staude B, Rotter S, Grün S (2008) Can spike coordination be differentiated from rate covariation? Neural Comput 20: 1973-1999.
31. Shimokawa T, Shinomoto S (2009) Estimating instantaneous irregularity of neuronal firing. Neural Comput 21: 1931-1951.
32. Shinomoto S, Shima K, Tanji J (2003) Differences in spiking patterns among cortical neurons. Neural Comput 15: 2823-2842. (Pubitemid 37378996)
33. Shinomoto S, Miyazaki Y, Tamura H, Fujita I (2005) Regional and laminar differences in in vivo firing patterns of primate cortical neurons. J Neurophysiol 94: 567-575. (Pubitemid 40923270)
34. Davies RM, Gerstein GL, Baker SN (2006) Measurement of time-dependent changes in the irregularity of neural spiking. J Neurophysiol 96: 906-918.
35. Cox DR, Lewis PAW (1966) Statistical Analysis of Series of Events. London: Chapman and Hall.
36. Tuckwell HC (1988) Introduction to Theoretical Neurobiology: Volume 2, Nonlinear and Stochastic Theories. Cambridge: Cambridge University Press.
37. Miura K, Okada M, Amari S (2006) Estimating spiking irregularities under changing environments. Neural Comput 18: 2359-2386. (Pubitemid 44511769)
38. Miura K, Tsubo Y, Okada M, Fukai T (2007) Balanced excitatory and inhibitory inputs to cortical neurons decouple firing irregularity from rate modulations. J Neurosci 27: 13802-13812. (Pubitemid 350278267)
39. Holt GR, Softky WR, Koch C, Douglas RJ (1996) Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons. J Neurophysiol 75: 1806-1814. (Pubitemid 26159018)
40. Wildt AR, Ahtola O (1978) Analysis of covariance. Beverly Hills, California: Sage Publications.
41. Amari S, Nagaoka H (2000) Methods of Information Geometry. Oxford: Oxford University Press.
42. Kruskal JB (1964) Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika 29: 1-27.
43. Kurata K (1993) Premotor cortex of monkeys: set- and movement-related activity reflecting amplitude and direction of wrist movements. J Neurophysiol 69: 187-200.
44. Fukushima J, Akao T, Takeichi N, Kurkin S, Kaneko CRS, et al. (2004) Pursuitrelated neurons in the supplementary eye fields: discharge during pursuit and passive whole body rotation. J Neurophysiol 91: 2809-2825. (Pubitemid 38649785)
45. Fukushima K, Sato T, Fukushima J, Shinmei Y, Kaneko CRS (2000) Activity of smooth pursuit-related neurons in the monkey periarcuate cortex during pursuit and passive whole body rotation. J Neurophysiol 83: 563-587. (Pubitemid 30039323)
46. Koida K, Komatsu H (2007) Effects of task demands on the responses of colorselective neurons in the inferior temporal cortex. Nat Neurosci 10: 108-116. (Pubitemid 46026534)
47. Inaba N, Shinomoto S, Yamane S, Takemura A, Kawano K (2007) MST neurons code for visual motion in space independent of pursuit eye movements. J Neurophysiol 97: 3473-3483. (Pubitemid 47084762)
48. Matsumoto M, Komatsu H (2005) Neural responses in the macaque V1 to bar stimuli with various lengths presented on the blind spot. J Neurophysiol 93: 2374-2387. (Pubitemid 40570824)
49. Akao T, Mustari MJ, Fukushima J, Kurkin S, Fukushima K (2005) Discharge characteristics of pursuit neurons in MST during vergence eye movements. J Neurophysiol 93: 2415-2434. (Pubitemid 40570828)
50. Ogawa T, Komatsu H (2004) Target selection in area V4 during a multidimensional visual search task. J Neurosci 24: 6371-6382. (Pubitemid 38944228)
51. Ichihara-Takeda S, Funahashi S (2008) Activity of primate orbitofrontal and dorsolateral prefrontal neurons: effect of reward schedule on task-related activity. J Cogn Neurosci 20: 563-579.
52. Tsutsui K, Jiang M, Sakata H, Taira M (2003) Short-term memory and perceptual decision for three-dimensional visual features in the caudal intraparietal sulcus (Area CIP). J Neurosci 23: 5486-5495. (Pubitemid 36807823)
53. Softky WR, Koch C (1993) The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J Neurosci 13: 334-350.
54. Shadlen MN, Newsome WT (1998) The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J Neurosci 18: 3870-3896.
55. Compte A, Constantinidis C, Tegnér1 J, Raghavachari S, Chafee MV, et al. (2003) Temporally irregular mnemonic persistent activity in prefrontal neurons of monkeys during a delayed response task. J Neurophysiol 90: 3441-3454. (Pubitemid 37430036)
56. Levitan IB, Kaczmarek LK (2002) Electrical Signaling in Neurons. In: The Neuron Cell and Molecular Biology 3rd edn. Oxford: Oxford University Press. pp 54-55.
57. Steriade M, Timofeev I, Dürmü ller N, Grenier F (1998) Dynamic properties of corticothalamic neurons and local cortical interneurons generating fast rhythmic (30-40 Hz) spike bursts. J Neurophysiol 79: 483-490.
58. Mitchell JF, Sundberg KA, Reynolds JH (2007) Differential attention-dependent response modulation across cell classes in macaque visual area V4. Neuron 55: 131-141.
59. Steriade M, Timofeev I, Grenier F (2001) Natural waking and sleep states: a view from inside neocortical neurons. J Neurophysiol 85: 1969-1985. (Pubitemid 32440676)
60. Kara P, Reinagel P, Reid RC (2000) Low response variability in simultaneously recorded retinal, thalamic, and cortical neurons. Neuron 27: 635-646. (Pubitemid 30951863)
61. Georgopoulos AP, Schwartz AB, Kettner RE (1986) Neuronal population coding of movement direction. Science 233: 1416-1419.
62. Amit DJ (1989) Modeling Brain Function: The World of Attractor Networks. Cambridge: Cambridge University Press.
63. Goldman-Rakic PS (1992) Working memory and the mind. Sci Am 267: 110-117.
64. Grossberg S, Howe PDL (2003) A laminar cortical model of stereopsis and threedimensional surface perception. Vision Res 43: 801-829. (Pubitemid 36287571)
65. Ma WJ, Beck JM, Latham PE, Pouget A (2006) Bayesian inference with probabilistic population codes. Nat Neurosci 9: 1432-1438. (Pubitemid 44646216)
66. Stevens CF, Zador AM (1998) Input synchrony and the irregular firing of cortical neurons. Nat Neurosci 1: 210-217. (Pubitemid 128652764)
67. Sakai Y, Funahashi S, Shinomoto S (1999) Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons. Neural Netw 12: 1181-1190. (Pubitemid 29389724)
68. Svirskis G, Rinzel J (2000) Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons. Biophys J 79: 629-637. (Pubitemid 30626160)
69. Steinmetz PN, Roy A, Fitzgerald PJ, Hsiao SS, Johnson KO, et al. (2000) Attention modulates synchronized neuronal firing in primate somatosensory cortex. Nature 404: 187-190. (Pubitemid 30154486)
70. Lerchner A, Ursta C, Hertz J, Ahmadi M, Ruffiot P, et al. (2006) Response variability in balanced cortical networks. Neural Comput 18: 634-659.
71. Shinomoto S, Sakai Y, Funahashi S (1999) The Ornstein-Uhlenbeck process does not reproduce spiking statistics of neurons in prefrontal cortex. Neural Comput 11: 935-951.
72. Durstewitz D, Gabriel T (2007) Dynamical basis of irregular spiking in NMDAdriven prefrontal cortex neurons. Cereb Cortex 17: 894-908. (Pubitemid 46434630)