Millisecond-timescale local network coding in the rat primary somatosensory cortex

PLoS ONE

Volumn 6, Issue 6, 2011, Pages

  Eldawlatly, Seif ^a   Oweiss, Karim G ^a,b  

^a Michigan State University   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANIMAL EXPERIMENT; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; FEMALE; INTERMETHOD COMPARISON; LATENT PERIOD; MATHEMATICAL MODEL; NERVE CELL NETWORK; NONHUMAN; POSTSYNAPTIC POTENTIAL; PREDICTION; PRESYNAPTIC POTENTIAL; PRIMARY SOMATOSENSORY CORTEX; RAT; SENSORY ANALYSIS; SOMATOSENSORY STIMULATION; SPIKE WAVE; VIBRISSA; ANIMAL; NERVE CELL; PHYSIOLOGY; SOMATOSENSORY CORTEX; SPRAGUE DAWLEY RAT;

RATTUS;

ANIMALS; BAYES THEOREM; FEMALE; NEURONS; RATS; RATS, SPRAGUE-DAWLEY; SOMATOSENSORY CORTEX;

EID: 79959649224     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0021649     Document Type: Article

References (71)

1. Petersen RS, Panzeri S, Diamond ME, (2001) Population coding of stimulus location in rat somatosensory cortex. Neuron 32: 503-514.
2. Arabzadeh E, Panzeri S, Diamond ME, (2006) Deciphering the spike train of a sensory neuron: Counts and temporal patterns in the rat whisker pathway. J Neurosci 26: 9216-9226.
3. Kleinfeld D, Ahissar E, Diamond ME, (2006) Active sensation: insights from the rodent vibrissa sensorimotor system. Curr Opin Neurobiol 16: 435-444.
4. Panzeri S, Petersen RS, Schultz SR, Lebedev M, Diamond ME, (2001) The role of spike timing in the coding of stimulus location in rat somatosensory cortex. Neuron 29: 769-777.
5. Petersen CCH, (2007) The functional organisation of the barrel cortex. Neuron 56: 339-355.
6. Ghazanfar AA, Nicolelis MAL, (2001) The structure and function of dynamic cortical and thalamic receptive fields. Cereb Cortex 11: 183-193.
7. Wiest MC, Bentley N, Nicolelis MAL, (2005) Heterogeneous integration of bilateral whisker signals by neurons in primary somatosensorycortex of awake rats. J Neurophysiol 93: 2966-2973.
8. Schubert D, Staiger JF, Cho N, Kötter R, Zilles K, et al. (2001) Layer-specific intracolumnar and transcolumnar functional connectivity of layer V pyramidal cells in rat barrel cortex. J Neurosci 21: 3580-3592.
9. Wright N, Fox K, (2010) Origins of cortical layer V surround receptive fields in the rat barrel cortex. J Neurophysiol 103: 709-724.
10. Simons DJ, Carvell GE, Hershey AE, Bryant DP, (1992) Responses of barrel cortex neurons in awake rats and effects of urethane anesthesia. Exp Brain Res 91: 259-272.
11. Ghazanfar AA, Nicolelis MAL, (1999) Spatiotemporal properties of layer V neurons in the rat primary somatosensory cortex. Cereb Cortex 9: 348-361.
12. Mercier BE, Legg CR, Glickstein M, (1990) Basal ganglia and cerebellum receive different somatosensory information in rats. Proc Natl Acad Sci USA 87: 4388-4392.
13. Izraeli R, Porter LL, (1995) Vibrissal motor cortex in the rat: connections with the barrel field. Exp Brain Res 104: 41-54.
14. Zhang M, Alloway KD, (2004) Stimulus-induced intercolumnar synchronization of neuronal activity in rat barrel cortex: a laminar analysis. J Neurophysiol 92: 1464-1478.
15. Alloway KD, (2008) Information processing streams in rodent barrel cortex: the differential functions of barrel and septal circuits. Cereb Cortex 18: 979-989.
16. Matyas F, Sreenivasan V, Marbach F, Wacongne C, Barsy B, et al. (2010) Motor Control by Sensory Cortex. Science 330: 1240-1243.
17. Eldawlatly S, Zhou Y, Jin R, Oweiss K, (2010) On The Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles. Neural Computation 22: 158-189.
18. Murphy K, (2002) Dynamic Bayesian Networks: Representation, Inference and Learning. PhD thesis, UC Berkeley, Computer Science Division.
19. Smith VA, Yu J, Smulders TV, Hartemink AJ, Jarvis ED, (2006) Computational inference of neural information flow networks. PLoS Computational Biology 2: 1436-1449.
20. Eldawlatly S, Oweiss K, (2010) Graphical Models of Functional and Effective Neuronal Connectivity. In: Oweiss K, editors. Statistical Signal Processing for Neuroscience and Neurotechnology 1st ed:Academic Press, Elsevier pp. 129-174.
21. Schiff ND, Purpura KP, Victor JD, (1999) Gating of local network signals appears as stimulus-dependent activity envelopes in striate cortex. J Neurophysiol 82: 2182-2196.
22. Josic K, Shea-Brown E, Doiron B, Rocha Jdl, (2009) Stimulus-dependent correlations and population codes. Neural Computation 21: 2774-2804.
23. Chiu J, Tommerdahl M, Whitsel B, Favorov O, (2005) Stimulus-dependent spatial patterns of response in SI cortex. BMC Neurosci 19: 1-14.
24. Wilent WB, Contreras D, (2005) Stimulus-dependent changes in spike threshold enhance feature selectivity in rat barrel cortex neurons. J Neurosci 25: 2983-2991.
25. Ohiorhenuan IE, Mechler F, Purpura KP, Schmid AM, Hu Q, et al. (2010) Sparse coding and high-order correlations in fine-scale cortical networks. Nature doi:10.1038/nature09178.
26. Niessing J, Friedrich RW, (2010) Olfactory pattern classification by discrete neuronal network states. Nature 465: 47-52.
27. de Kock CP, Bruno RM, Spors H, Sakmann B, (2007) Layer- and cell-type-specific suprathreshold stimulus representation in rat primary somatosensory cortex. J Physiol (Lond) 581: 139-154.
28. Celikel T, Szostak VA, Feldman DE, (2004) Modulation of spike timing by sensory deprivation during induction of cortical map plasticity. Nat Neurosci 7: 534-541.
29. Temereanca S, Brown EN, Simons DJ, (2008) Rapid changes in thalamic firing synchrony during repetitive whisker stimulation. J Neurosci 28: 11153-11164.
30. Petersen RS, Panzeri S, Diamond ME, (2002) Population coding in somatosensory cortex. Curr Opin Neurobiol 12: 441-447.
31. Shannon C, (1948) A mathematical theory of communication. Bell Sys Tech J 27: 379-423.
32. Fujisawa S, Amarasingham A, Harrison M, Buzsáki G, (2008) Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex. Nat Neurosci 11: 823-833.
33. Atencio CA, Schreiner CE, (2010) Columnar Connectivity and Laminar Processing in Cat Primary Auditory Cortex. PLoS ONE 5: e9521 doi:9510.1371/journal.pone.0009521.
34. Nicoll A, Blakemore C, (1993) Patterns of local connectivity in the neocortex. Neural Computation 5: 665-680.
35. Luo B, Wilson RC, Hancock ER, (2003) Spectral Embedding of Graphs. Pattern Recognition 36: 2213-2230.
36. Perkel DH, Gerstein G, Moore GP, (1967) Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. J Biophys 7: 419-440.
37. Truccolo W, Hochberg LR, Donoghue JP, (2010) Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes. Nat Neurosci 13: 105-111.
38. Truccolo W, Eden UT, Fellow M, Donoghue JD, Brown EN, (2005) A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. J Neurophysiol 93: 1074-1089.
39. Pillow JW, Shlens J, Paninski L, Sher A, Litke AM, et al. (2008) Spatio-temporal correlations and visual signalling in a complete neuronal population Nature 454: 995-999.
40. Gerhard F, Pipa G, Lima B, Neuenschwander S, Gerstner W, (2011) Extraction of network topology from multi-electrode recordings: is there a small-world effect? Front Comput Neurosci 5 doi:10.3389/fncom.2011.00004.
41. Jadhav SP, Wolfe J, Feldman DE, (2009) Sparse temporal coding of elementary tactile features during active whisker sensation. Nat Neurosci 12: 792-800.
42. Foffani G, Tutunculer B, Moxon KA, (2004) Role of spike timing in the forelimb somatosensory cortex of the rat. J Neurosci 24: 7266-7271.
43. Harris KD, Csicsvari J, Hirase H, Dragoi G, Buzsaki G, (2003) Organization of cell assemblies in the hippocampus. Nature 424: 552-556.
44. Schneidman E, Berry MJ, Segev R, Bialek W, (2006) Weak pairwise correlations imply strongly correlated network states in a neural population. Nature 440: 1007-1012.
45. Harris KD, (2005) Neural signatures of cell assembly organization. Nat Rev Neurosci 6: 399-407.
46. Foffani G, Morales-Botello ML, Aguilar J, (2009) Spike timing, spike count, and temporal information for the discrimination of tactile stimuli in the rat ventrobasal complex. J Neurosci 29: 5964-5973.
47. Barth DS, (2003) Submillisecond synchronization of fast electrical oscillations in neocortex. J Neurosci 23: 2502-2510.
48. Buzsáki G, (2010) Neural Syntax: Cell Assemblies, Synapsembles, and Readers Neuron 68: 362-385.
49. Histed M, Bonin V, Reid R, (2009) Direct activation of sparse, distributed populations of cortical neurons by electrical microstimulation. Neuron 63: 508-522.
50. Haider B, McCormick DA, (2009) Rapid neocortical dynamics: cellular and network mechanisms. Neuron 62: 171-189.
51. Hooks BM, Hires SA, Zhang Y-X, Huber D, Petreanu L, et al. (2011) Laminar Analysis of Excitatory Local Circuits in Vibrissal Motor and Sensory Cortical Areas. PLoS Biol 9: e100057.
52. Erchova IA, Lebedev MA, Diamond ME, (2002) Somatosensory cortical neuronal population activity across states of anesthesia. Eur J Neurosci 15: 744-752.
53. Devonshire IM, Grandy TH, Dommett EJ, Greenfield SA, (2010) Effects of urethane anaesthesia on sensory processing in rat barrel cortex revealed by combined optical imaging and electrophysiology. Eur J Neurosci 32: 786-797.
54. Vijayan S, Hale GJ, Moore CI, Brown EN, Wilson MA, (2010) Activity in the barrel cortex during active behavior and sleep. J Neurophysiol 103: 2074-2084.
55. Shimegi S, Akasaki T, Ichikawa T, Sato H, (2000) Physiological and anatomical organization of multiwhisker response interactions in the barrel cortex of rats. J Neurosci 20: 6241-6248.
56. Ghazanfar AA, Nicolelis MAL, (1997) Nonlinear processing of tactile information in the thalamocortical loop. J Neurophysiol 78: 506 -510.
57. Mirabella G, Battiston S, Diamond ME, (2001) Integration of multiple-whisker inputs in rat somatosensory cortex. Cereb Cortex 11: 164-170.
58. Nettleton JS, Spain W, (2000) Linear to supra-linear summation of AMPA-mediated EPSPs in neocortical pyramidal neurons. J Neurophysiol 83: 3310-3322.
59. Kapfer C, Glickfield LL, Atallah BV, Scanziani M, (2007) Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex. Nat Neurosci 10: 743-753.
60. Hebb DO, (1949) The Organization of Behavior. New York Wiley.
61. Abeles M, (1982) Local Cortical Circuits: An Electrophysiological study. Berlin Springer.
62. Lindsey BG, Morris KF, Segers LS, Shannon R, (2000) Respiratory neuronal assemblies. Respir Physiol 122: 183-196.
63. Varela F, Lachaux J-P, Rodriguez E, Martinerie J, (2001) The brainweb: phase synchronization and large-scale integration. Nature Rev Neurosci 2: 229-239.
64. Engel AK, Fries P, Singer W, (2001) Dynamic predictions: oscillations and synchrony in top-down processing. Nat Rev Neurosci 2: 704-716.
65. Lebedev MA, Mirabella G, Erchova I, Diamond ME, (2000) Experience-dependent plasticity of rat barrel cortex: Redistribution of activity across barrel-columns. Cereb Cortex 10: 23-31.
66. Kwon KY, Eldawlatly S, Oweiss KG, (2009) NeuroQuest: A Comprehensive Tool for Large Scale Neural Data Processing and Analysis. Proc of 4th Int IEEE EMBS Conf on Neural Engineering pp. 622-625.
67. Cooper GF, Herskovits E, (1992) A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9: 309-347.
68. Kirkpatrick S, Gelatt CD, Vecchi MP, (1983) Optimization by Simulated Annealing. Science 220: 671-680.
69. Yu J, Smith VA, Wang PP, Hartemink AJ, Jarvis ED, (2004) Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinformatics 20: 3594-3603.
70. Quiroga RQ, Panzeri S, (2009) Extracting information from neuronal populations: information theory and decoding approaches. Nature Rev Neurosci 10: 173-185.
71. Jones MC, Marron JS, Sheather SJ, (1996) A Brief Survey of Bandwidth Selection for Density Estimation. Journal of the American Statistical Association 91: 401-407.