Spike-train variability of auditory neurons in vivo: Dynamic responses follow predictions from constant stimuli

Journal of Neurophysiology

Volumn 93, Issue 6, 2005, Pages 3270-3281

  Schaette, Roland ^a   Gollisch, Tim ^a,b   Herz, Andreas V M ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

^b HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NERVE FIBER; ARTICLE; AUDITORY STIMULATION; ELECTROPHYSIOLOGY; HISTOGRAM; NERVE CONDUCTION; NERVE POTENTIAL; NONHUMAN; PRIORITY JOURNAL; REFRACTORY PERIOD; SENSORY NERVE CELL; STOCHASTIC MODEL;

ACOUSTIC STIMULATION; ACTION POTENTIALS; ANIMALS; AUDITORY PATHWAYS; DOSE-RESPONSE RELATIONSHIP, RADIATION; GRASSHOPPERS; MODELS, NEUROLOGICAL; NEURONS; NONLINEAR DYNAMICS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 19444385680     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.00758.2004     Document Type: Article

References (43)

1. Benda J. Single Neuron Dynamics - Models Linking Theory and Experiment (PhD thesis). Berlin, Germany: Humboldt-Universität zu Berlin, 2002.
2. Benda J and Herz AVM. A universal model for spike-frequency adaptation. Neurol Comput 15: 2523-2564, 2003.
3. Berry MJ and Meister M. Refractoriness and neural precision. J Neurosci 18: 2200-2211, 1998.
4. Berry MJ, Warland DK, and Meister M. The structure and precision of retinal spike trains. Proc Natl Acad Sci USA 94: 5411-5416, 1997.
5. Brandman R and Nelson ME. A simple model of long-term spike train regularization. Neural Comput 14: 1575-1597, 2002.
6. Brenner N, Agam O, Bialek W, and de Ruyter van Steveninck R. Statistical properties of spike trains: universal and stimulus-dependent aspects. Phys Rev E 66: 031907, 2002.
7. Buracas GT, Zador AM, DeWeese MR, and Albright TD. Efficient discrimination of temporal patterns by motion-sensitive neurons in primate visual cortex. Neuron 20: 959-969, 1998.
8. Chacron MJ, Longtin A, and Maler L. Negative interspike-interval correlations increase the neuronal capacity for encoding time-dependent stimuli. J Neurosci 21: 5328-5343, 2001.
9. Cox DR. Renewal Theory. London: Methuen, 1962.
10. de Ruyter van Steveninck RR, Lewen GD, Strong SS, Koberle R, and Bialek W. Reproducibility and variability in neural spike trains. Science 275: 1805-1808, 1997.
11. Fano U. Ionization yield of radiations. II. The fluctuations of the number of ions. Physiol Rev 72: 26-29, 1947.
12. Gabbiani F and Koch C. Principles of spike train analysis. In: Methods in Neuronal Modeling, edited by Koch C and Segev I. Cambridge, MA: MIT Press, 1998.
13. Gaumond RP, Molnar CE, and Kim DO. Stimulus and recovery dependence of cat cochlear nerve fiber spike discharge probability. J Neurophysiol 48: 856-873, 1982.
14. Gerstner W and Kistler WM. Spiking Neuron Models. Cambridge, UK: Cambridge Univ. Press, 2002.
15. Gollisch T and Herz AVM. Input-driven components of spike-frequency adaptation can be unmasked in vivo. J Neurosci 24: 7435-7444, 2004.
16. Gollisch T and Herz AVM. Disentangling sub-millisecond processes within an auditory transduction chain. PLoS Biol 3: 144-154, 2005.
17. Gollisch T, Schütze H, Benda J, and Herz AVM. Energy integration describes sound-intensity coding in an insect auditory system. J Neurosci 22:10434-10448, 2002.
18. Gray EG. The fine structure of the insect ear. Philos Trans R Soc Lond B Biol Sci 243: 333-339, 1960.
19. Gray PR. Conditional probability analyses of the spike activity of single neurons. Biophys J 7: 759-777, 1967.
20. Holt GR, Softky WR, Koch C, and Douglas RJ. Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons. J Neurophysiol 75: 1806-1814, 1996.
21. Johnson DH. Point process models of single-neuron discharge. J Comp Neurosci 3: 275-299, 1996.
22. Johnson DH and Swami A. The transmission of signals by auditory-nerve fiber discharge patterns. J Acoust Soc Am 74: 493-501, 1983.
23. Kara P, Reinagel P, and Reid RC. Low response variability in simultaneously recorded retinal, thalamic and cortical neurons. Neuron 27: 635-646, 2000.
24. Machens CK, Schütze H, Franz A, Kolesnikova O, Stemmler MB, Ronacher B, and Herz AVM. Single auditory neurons rapidly discriminate conspecific communication signals. Nat Neurosci 6: 341-342, 2003.
25. Machens CK, Stemmler MB, Prinz P, Krahe R, Ronacher B, and Herz AVM. Representation of acoustic communication signals by insect auditory receptor neurons. J Neurosci 21: 3215-3227, 2001.
26. Mainen ZF and Sejnowski TJ. Reliability of spike timing in neocortical neurons. Science 268: 1503-1506, 1995.
27. Michelsen A. The physiology of the locust ear. Z Vergl Physiol 71: 49-128, 1971.
28. Perkel DH, Gerstein GL, and Moore GP. Neuronal spike trains and stochastic point processes. Biophys J 7: 391-440, 1967.
29. Prinz P and Ronacher B. Temporal modulation transfer functions in auditory receptor fibres of the locust (Locusta migratoria L.). J Comp Physiol A Neuroethol Sens Neural Behav Physiol 188: 577-587, 2002.
30. Reich DS, Victor JD, and Knight BW. The power ratio and the interval map: spiking models and extracellular recordings. J Neurosci 18: 10090-10104, 1998.
31. Reinagel P and Reid RC. Precise firing events are conserved across neurons. J Neurosci 22: 6837-6841, 2002.
32. Rieke F, Warland D, de Ruyter van Steveninck R, and Bialek W. Spikes: Exploring the Neural Code. Cambridge, MA: MIT Press, 1997.
33. Römer H. Die Informationsverarbeitung tympanaler Rezeptorelemente von Locusta migratoria (Acrididae. Orthoptera). J Comp Physiol A Sens Neural Behav Physiol 109: 101-122, 1976.
34. Ronacher B and Krahe R. Temporal integration vs. parallel processing: coping with the variability of neuronal messages in directional hearing of insects. Eur J Neurosci 12: 2147-2156, 2000.
35. Schreiber S, Fellous JM, Whitmer D, Tiesinga P, and Sejnowski TJ. A new correlation-based measure of spike timing reliability. Neurocomputing 52-54: 925-931, 2003.
36. Shadlen MN and Newsome WT. The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J Neurosci 18: 3870-3896, 1998.
37. Softky WR and Koch C. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J Neurosci 13: 334-350, 1993.
38. Stevens CF and Zador AM. Input synchrony and the irregular firing in cortical neurons. Nat Neurosci 1: 210-216, 1998.
39. Stryer L, Berg JM, and Tymoczko JL. Biochemistry. New York: Freeman, 2002.
40. Stumpner A and von Helversen D. Evolution and function of auditory systems in insects. Naturwissenschaften 88: 159-170, 2001.
41. Teich MC, Turcott RG, and Siegel RM. Temporal correlation in cat striate-cortex neural spike trains. IEEE Eng Med Biol Mag 15: 79-87, 1996.
42. Warzecha A-K and Egelhaaf M. Variability in spike trains during constant and dynamic stimulation. Science 283: 1927-1930, 1999.
43. Warzecha A-K, Kretzberg J, and Egelhaaf M. Reliability of a fly motion-sensitive neuron depends on stimulus parameters. J Neurosci 20: 8886-8896, 2000.