Comparing neuronal spike trains with inhomogeneous Poisson distribution: Evaluation procedure and experimental application in cases of cyclic activity

Journal of Neuroscience Methods

Volumn 149, Issue 1, 2005, Pages 7-14

  Fiore, Lorenzo ^a   Lorenzetti, Walter ^a   Ratti, Giovannino ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

Burst; Inhomogeneous Poisson process; Interspike intervals; Neural code; Post spike facilitation; Random process; Refractory period; Spike train analysis

Indexed keywords

ARTICLE; LEG; LOBSTER; MEMBRANE DEPOLARIZATION; MONTE CARLO METHOD; MOTION; NONHUMAN; POISSON DISTRIBUTION; PRIORITY JOURNAL; REFRACTORY PERIOD; SPIKE WAVE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BIOLOGICAL CLOCKS; DATA INTERPRETATION, STATISTICAL; LOCOMOTION; MODELS, STATISTICAL; NEPHROPIDAE; NEURONS; PATTERN RECOGNITION, AUTOMATED; POISSON DISTRIBUTION;

EID: 27744545399     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2005.03.013     Document Type: Article

References (46)

1. F. Awiszus Spike train analysis J Neurosci Methods 74 1997 155 166
2. R. Barbieri, M.C. Quirk, L.M. Frank, M.A. Wilson, and E.N. Brown Construction and analysis of non-Poisson stimulus-response models of neural spike train activity J Neurosci Methods 105 2001 25 37
3. E. Batschelet Circular statistics in biology 1981 Academic Press London
4. M.J. Berry II, and M. Meister Refractoriness and neural precision J Neurosci 18 1998 2200 2211
5. G.S. Bhumbra, and R.E. Dyball Measuring spike coding in the rat supraoptic nucleus J Physiol 555 2004 281 296
6. C.W. Bourque, K. Kirkpatrick, and C.R. Jarvis Extrinsic modulation of spike afterpotentials in rat hypothalamoneurohypophysial neurons Cell Mol Neurobiol 18 1998 3 12
7. N. Brenner, S.P. Strong, R. Koberle, W. Bialek, and R.R. de Ruyter van Steveninck Synergy in a neural code Neural Comput 12 2000 1531 1552
8. C.H. Brown, and C.W. Bourque Autocrine feedback inhibition of plateau potentials terminates phasic bursts in magnocellular neurosecretory cells of the rat supraoptic nucleus J Physiol 557 2004 949 960
9. E.N. Brown, R. Barbieri, V. Ventura, R.E. Kass, and L.M. Frank The time-rescaling theorem and its application to neural spike train data analysis Neural Comput 14 2001 325 346
10. E.N. Brown, R.E. Kass, and P.P. Mitra Multiple neural spike train data analysis: state-of-the-art and future challenges Nat Neurosci 7 2004 456 461
11. M.J. Chacron, A. Longtin, and L. Maler Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli J Neurosci 21 2001 5328 5343
12. D.J. Daley, and D. Vere-Jones An introduction to the theory of point process 1988 Springer-Verlag New York
13. R. Dawkins, and W.F. Sewell Afferent synaptic transmission in a hair cell organ: pharmacological and physiological analysis of the role of the extended refractory period J Neurophysiol 92 2004 1105 1115
14. A. Fairhall, G. Lewen, and W. Bialek de Ruyter van Steveninck R. Efficiency and ambiguity in an adaptive neural code Nature 412 2001 787 792
15. L. Fiore, W. Lorenzetti, G. Ratti, and L. Geppetti Fractionated analysis of paired-electrode nerve recordings J Neurosci Methods 131 2003 185 194
16. R.C. Froemke, and Y. Dan Spike-timing-dependent synaptic modification induced by natural spike trains Nature 416 2002 433 438
17. G.L. Gerstein Searching for significance in spatio-temporal firing patterns Acta Neurobiol Exp (Wars) 64 2004 203 207
18. S. Grun, M. Diesmann, and A. Aertsen Unitary events in multiple single-neuron spiking activity: I. Detection and significance Neural Comput 14 2002 43 80
19. R.S. Johansson, and I. Birznieks First spikes in ensembles of human tactile afferents code complex spatial fingertip events Nat Neurosci 7 2004 170 177
20. D.H. Johnson, and R.M. Glantz When does interval coding occur? Neurocomputing 58-60 2004 13 18
21. R.E. Kass, and V. Ventura A spike-train probability model Neural Comput 13 2001 1713 1720
22. A. Kepecs, and J. Lisman How to read a burst duration code Neurocomputing 58-60 2004 1 6
23. R. Krahe, and F. Gabbiani Burst firing in sensory systems Nat Rev Neurosci 5 2004 13 23
24. J.E. Lisman Bursts as a unit of neural information: making unreliable synapses reliable Trends Neurosci 20 1997 38 43
25. Z.F. Mainen, and T.J. Sejnowski Reliability of spike timing in neocortical neurons Science 268 1995 1503 1506
26. B.F.J. Manly Randomization, bootstrap and Monte Carlo simulation procedures in biology 1997 Chapman and Hall London
27. L. Martignon, G. Deco, K. Laskey, M. Diamond, W. Freiwald, and E. Vaadia Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies Neural Comput 12 2000 2621 2653
28. P.B. Matthews Relationship of firing intervals of human motor units to the trajectory of post-spike after-hyperpolarization and synaptic noise J Physiol 492 1996 597 628
29. P.B. Matthews Measurement of excitability of tonically firing neurones tested in a variable-threshold model motoneurone J Physiol 544 2002 315 332
30. S. Nirenberg, and P.E. Latham Decoding neuronal spike trains: how important are correlations? Proc Natl Acad Sci USA 100 2003 7348 7353
31. M.W. Oram, N.G. Hatsopoulos, B.J. Richmond, and J.P. Donoghue Excess synchrony in motor cortical neurons provides redundant direction information with that from coarse temporal measures J Neurophysiol 86 2001 1700 1716
32. R.K. Powers, and M.D. Binder Relationship between the time course of the afterhyperpolarization and discharge variability in cat spinal motoneurones J Physiol 528 2000 131 150
33. D.S. Reich, J.D. Victor, and B.W. Knight The power ratio and the interval map: spiking models and extracellular recordings J Neurosci 18 1998 10090 10104
34. P. Reinagel, D. Godwin, S.M. Sherman, and C. Koch Encoding of visual information by LGN bursts J Neurophysiol 81 1999 2558 2569
35. A. Riehle, S. Grun, M. Diesmann, and A. Aertsen Spike synchronization and rate modulation differentially involved in motor cortical function Science 278 1997 1950 1953
36. F. Rieke, D. Warland, R.R. de Ruyter van Steveninck, and W. Bialek Spikes: exploring the neural code 1997 The MIT Press Cambridge, MA
37. T.D. Sanger Neural population codes Curr Opin Neurobiol 13 2003 238 249
38. S.M. Sherman Tonic and burst firing: dual modes of thalamocortical relay Trends Neurosci 24 2001 122 126
39. E. Schneidman, W. Bialek, and MJ. Berry Jr. Synergy, redundancy, and independence in population codes J Neurosci 23 2003 11539 11553
40. A. Treves, S. Panzeri, E.T. Rolls, M. Booth, and E.A. Wakeman Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli Neural Comput 11 1999 601 632
41. W.M. Usrey, J.B. Reppas, and R.C. Reid Paired-spike interactions and synaptic efficacy of retinal inputs to the thalamus Nature 395 1998 384 387
42. W.M. Usrey, J.M. Alonso, and R.C. Reid Synaptic interactions between thalamic inputs to simple cells in cat visual cortex J Neurosci 20 2000 5461 5467
43. R. VanRullen, R. Guyonneau, and S.J. Thorpe Spike times make sense Trends Neurosci 28 2005 1 4
44. D.Z. Wetmore, and S.N. Baker Post-spike distance-to-threshold trajectories of neurones in monkey motor cortex J Physiol 555 2004 831 850
45. M.C. Wiener, and B.J. Richmond Decoding spike trains instant by instant using order statistics and the mixture-of-Poissons model J Neurosci 23 2003 2394 2406
46. Z.M. Xu, J.J. Ivanusic, D.W. Bourke, E.G. Butler, and M.K. Home Automatic detection of bursts in spike trains recorded from the thalamus of a monkey performing wrist movements J Neurosci Methods 91 1999 123 133