Reliability, synchrony and noise

Trends in Neurosciences

Volumn 31, Issue 8, 2008, Pages 428-434

  Ermentrout, G Bard ^a,b   Galán, Roberto F ^b,c,d   Urban, Nathaniel N ^b,c  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b CENTER FOR THE NEURAL BASIS OF COGNITION   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

^d CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; AUTISM; CORTICAL SYNCHRONIZATION; DEPOLARIZATION; ELECTRONICS; EPILEPSY; HUMAN; IN VIVO STUDY; NERVE CELL; NOISE; NONHUMAN; OSCILLATION; PARKINSON DISEASE; PRIORITY JOURNAL; RELIABILITY; REVIEW; SCHIZOPHRENIA; SENSORY STIMULATION; SPIKE WAVE;

ANIMALS; ARTIFACTS; BRAIN; CORTICAL SYNCHRONIZATION; ELECTROPHYSIOLOGY; HUMANS; NEURONS; REPRODUCIBILITY OF RESULTS;

EID: 47649125860     PISSN: 01662236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tins.2008.06.002     Document Type: Review

References (66)

1. Brecht M., and Sakmann B. Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex. J. Physiol. 543 (2002) 49-70
2. Calvin W.H., and Stevens C.F. Synaptic noise as a source of variability in the interval between action potentials. Science 155 (1967) 842-844
3. Tiesinga P., et al. Regulation of spike timing in visual cortical circuits. Nat. Rev. Neurosci. 9 (2008) 97-107
4. Faisal A.A., et al. Noise in the nervous system. Nat. Rev. Neurosci. 9 (2008) 292-303
5. van Rossum M.C. A novel spike distance. Neural Comput. 13 (2001) 751-763
6. Victor J.D. Spike train metrics. Curr. Opin. Neurobiol. 15 (2005) 585-592
7. Bryant H.L., and Segundo J.P. Spike initiation by transmembrane current: a white-noise analysis. J. Physiol. 260 (1976) 279-314
8. Mainen Z.F., and Sejnowski T.J. Reliability of spike timing in neocortical neurons. Science 268 (1995) 1503-1506
9. Galán R.F., et al. Optimal time scale for spike-time reliability: theory, simulations and experiments. J. Neurophysiol. 99 (2008) 277-283
10. Cecchi G.A., et al. Noise in neurons is message dependent. Proc. Natl. Acad. Sci. U. S. A. 97 (2000) 5557-5561
11. Kara P., et al. Low response variability in simultaneously recorded retinal, thalamic, and cortical neurons. Neuron 27 (2000) 635-646
12. Butts D.A., et al. Temporal precision in the neural code and the timescales of natural vision. Nature 449 (2007) 92-95
13. Galán R.F., et al. Correlation-induced synchronization of oscillations in olfactory bulb neurons. J. Neurosci. 26 (2006) 3646-3655
14. Galán R.F., et al. Stochastic dynamics of uncoupled neural oscillators: Fokker-Planck studies with the finite element method. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 76 (2007) 056110
15. Hunter J.D., et al. Resonance effect for neural spike time reliability. J. Neurophysiol. 80 (1998) 1427-1438
16. Barnes C.A., et al. LTP saturation and spatial learning disruption: effects of task variables and saturation levels. J. Neurosci. 14 (1994) 5793-5806
17. Wiesenfeld K., and Moss F. Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs. Nature 373 (1995) 33-36
18. Lindner B. Interspike interval statistics of neurons driven by colored noise. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 69 (2004) 022901
19. Lindner B., and Schimansky-Geier L. Coherence and stochastic resonance in a two-state system. Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdiscip. Topics 61 (2000) 6103-6110
20. Rieke F., et al. Spikes: Exploring the Neural Code (1999), MIT Press
21. Bhandawat V., et al. Sensory processing in the Drosophila antennal lobe increases reliability and separability of ensemble odor representations. Nat. Neurosci. 10 (2007) 1474-1482
22. Nowak L.G., et al. Influence of low and high frequency inputs on spike timing in visual cortical neurons. Cereb. Cortex 7 (1997) 487-501
23. Tsubo Y., et al. Layer and frequency dependencies of phase response properties of pyramidal neurons in rat motor cortex. Eur. J. Neurosci. 25 (2007) 3429-3441
24. Galan R.F., et al. Efficient estimation of phase-resetting curves in real neurons and its significance for neural-network modeling. Phys. Rev. Lett. 94 (2005) 158101
25. Whittington M.A., et al. Synchronized oscillations in interneuron networks driven by metabotropic glutamate receptor activation. Nature 373 (1995) 612-615
26. Engel A.K., et al. Temporal binding, binocular rivalry, and consciousness. Conscious. Cogn. 8 (1999) 128-151
27. Stopfer M., et al. Impaired odour discrimination on desynchronization of odour-encoding neural assemblies. Nature 390 (1997) 70-74
28. Movshon J.A. Reliability of neuronal responses. Neuron 27 (2000) 412-414
29. Shadlen M.N., and Movshon J.A. Synchrony unbound: a critical evaluation of the temporal binding hypothesis. Neuron 24 (1999) 67-77
30. Tiesinga P.H., and Sejnowski T.J. Rapid temporal modulation of synchrony by competition in cortical interneuron networks. Neural Comput. 16 (2004) 251-275
31. Reyes A.D. Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro. Nat. Neurosci. 6 (2003) 593-599
32. Burkitt A.N., and Clark G.M. Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output. Neural Comput. 11 (1999) 871-901
33. Salinas E., and Sejnowski T.J. Correlated neuronal activity and the flow of neural information. Nat. Rev. Neurosci. 2 (2001) 539-550
34. Moreno R., et al. Response of spiking neurons to correlated inputs. Phys. Rev. Lett. 89 (2002) 288101
35. Buzsaki G. Rhythms of the Brain (2006), Oxford University Press
36. Freiwald W.A., et al. Synchronization and assembly formation in the visual cortex. Prog. Brain Res. 130 (2001) 111-140
37. Dragoi G., and Buzsaki G. Temporal encoding of place sequences by hippocampal cell assemblies. Neuron 50 (2006) 145-157
38. Whittington M.A., et al. Spatiotemporal patterns of gamma frequency oscillations tetanically induced in the rat hippocampal slice. J. Physiol. 502 (1997) 591-607
39. Whittington M.A., et al. Inhibition-based rhythms: experimental and mathematical observations on network dynamics. Int. J. Psychophysiol. 38 (2000) 315-336
40. Wang X.J., and Buzsaki G. Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. J. Neurosci. 16 (1996) 6402-6413
41. Schoppa N.E. Synchronization of olfactory bulb mitral cells by precisely timed inhibitory inputs. Neuron 49 (2006) 271-283
42. Egger V., and Urban N.N. Dynamic connectivity in the mitral cell-granule cell microcircuit. Semin. Cell Dev. Biol. 17 (2006) 424-432
43. Rosenblum M.G., et al. Phase synchronization of chaotic oscillators. Phys. Rev. Lett. 76 (1996) 1804-1807
44. Abarbanel H.D., et al. Generalized synchronization of chaos: the auxiliary system approach. Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdiscip. Topics 53 (1996) 4528-4535
45. Goldobin D.S., and Pikovsky A. Antireliability of noise-driven neurons. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 73 (2006) 061906
46. Teramae J.N., and Tanaka D. Robustness of the noise-induced phase synchronization in a general class of limit cycle oscillators. Phys. Rev. Lett. 93 (2004) 204103
47. Nagai K., et al. Synchrony of neural oscillators induced by random telegraphic currents. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 71 (2005) 036217
48. Springer M., and Paulson J. Harmonies from noise. Nature 439 (2006) 27-28
49. Gutkin B.S., et al. Phase-response curves give the responses of neurons to transient inputs. J. Neurophysiol. 94 (2005) 1623-1635
50. Winfree A.T. The Geometry of Biological Time (1980), Springer
51. Marella S., and Ermentrout G.B. Class-II neurons display a higher degree of stochastic synchronization than class-I neurons. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 77 (2008) 041918
52. Golomb D., et al. On temporal codes and the spatiotemporal response of neurons in the lateral geniculate nucleus. J. Neurophysiol. 72 (1994) 2990-3003
53. Bruno R.M., and Sakmann B. Cortex is driven by weak but synchronously active thalamocortical synapses. Science 312 (2006) 1622-1627
54. Arevian A.C., et al. Activity-dependent gating of lateral inhibition in the mouse olfactory bulb. Nat. Neurosci. 11 (2008) 80-87
55. Tateno T., et al. Threshold firing frequency-current relationships of neurons in rat somatosensory cortex: type 1 and type 2 dynamics. J. Neurophysiol. 92 (2004) 2283-2294
56. Galán R.F., et al. Reliability and stochastic synchronization in type I vs. type II neural oscillators. Neurocomputing 70 (2007) 2102-2106
57. Ma W.J., et al. Bayesian inference with probabilistic population codes. Nat. Neurosci. 9 (2006) 1432-1438
58. de la Rocha J., et al. Correlation between neural spike trains increases with firing rate. Nature 448 (2007) 802-806
59. Zohary E., et al. Correlated neuronal discharge rate and its implications for psychophysical performance. Nature 370 (1994) 140-143
60. Series P., et al. Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations. Nat. Neurosci. 7 (2004) 1129-1135
61. Hammond C., et al. Pathological synchronization in Parkinson's disease: networks, models and treatments. Trends Neurosci. 30 (2007) 357-364
62. Uhlhaas P.J., and Singer W. Neural synchrony in brain disorders: relevance for cognitive dysfunctions and pathophysiology. Neuron 52 (2006) 155-168
63. Mainen Z.F., et al. A model of spike initiation in neocortical pyramidal neurons. Neuron 15 (1995) 1427-1439
64. Buracas G.T., et al. Efficient discrimination of temporal patterns by motion-sensitive neurons in primate visual cortex. Neuron 20 (1998) 959-969
65. Izhikevich E.M. Which model to use for cortical spiking neurons?. IEEE Trans. Neural Netw. 15 (2004) 1063-1070
66. Reyes A.D., and Fetz E.E. Effects of transient depolarizing potentials on the firing rate of cat neocortical neurons. J. Neurophysiol. 69 (1993) 1673-1683