Neural processing of short-term recurrence in songbird vocal communication

PLoS ONE

Volumn 5, Issue 6, 2010, Pages

  Beckers, Gabriël J L ^a   Gahr, Manfred ^a  

^a MAX PLANCK INSTITUTE FOR ORNITHOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL COMMUNICATION; ANIMAL EXPERIMENT; ARTICLE; AUDITORY CORTEX; AUDITORY MEMORY; AUDITORY STIMULATION; BRAIN MAPPING; CONTROLLED STUDY; FEMALE; FOREBRAIN; MALE; NERVE CELL PLASTICITY; NEUROMODULATION; NONHUMAN; SONGBIRD; STIMULUS RESPONSE; TAENIOPYGIA GUTTATA; VOCALIZATION;

ANIMAL COMMUNICATION; ANIMALS; FEMALE; MALE; NERVOUS SYSTEM PHYSIOLOGICAL PHENOMENA; SONGBIRDS;

ANIMALIA; AVES; MAMMALIA; PASSERI; TAENIOPYGIA GUTTATA;

EID: 77956204458     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0011129     Document Type: Article

References (55)

1. Barlow H (1961) Possible principles underlying the transformations of sensory messages. In: Rosenblith W, editor. Sensory Communication. Cambridge, Massachusetts: MIT Press. pp. 182-192.
2. Müller JR, Metha AB, Krauskopf J, Lennie P (1999) Rapid adaptation in visual cortex to the structure of images. Science 285: 1405-1408.
3. Ulanovsky N, Las L, Nelken I (2003) Processing of low-probability sounds by cortical neurons. Nat Neurosci 6: 391-398.
4. Näätänen R, Tervaniemi M, Sussman E, Paavilainen P, Winkler I (2001) 'Primitive intelligence' in the auditory cortex. Trends Neurosci 24: 283-288.
5. Nelken I, Ulanovsky N (2007) Mismatch negativity and stimulus-specific adaptation in animal models. J Psychophysiol 21: 214-223.
6. Szymanski FD, Garcia-Lazaro JA, Schnupp JWH (2009) Current source density profiles of stimulus-specific adaptation in rat auditory cortex. J Neurophysiol 102: 1483-1490.
7. von der Behrens W, Bauerle P, Kossl M, Gaese BH (2009) Correlating stimulus-specific adaptation of cortical neurons and Local Field Potentials in the awake rat. J Neurosci 29: 13837-13849.
8. Ulanovsky N, Las L, Farkas D, Nelken I (2004) Multiple time scales of adaptation in auditory cortex neurons. J Neurosci 24: 10440-10453.
9. Ribler R, Marthur A, Abrams M (1996) Visualizing and modeling categorical time series data. pp. 3-19. ICASE/LaRC Symposium on Visualizing Time-Varying Data. Proceedings (NASA Conf. Publ. 3321). NASA, Hampton, VA, USA.
10. Zann RA (1996) The Zebra Finch. New York, N.Y.: Oxford University Press.
11. Fortune ES, Margoliash D (1992) Cytoarchitectonic organization and morphology of cells of the field L complex in male zebra finches (Taenopygia guttata). J Comp Neurol 325: 388-404.
12. Fortune ES, Margoliash D (1995) Parallel pathways and convergence onto HVc and adjacent neostriatum of adult zebra finches (Taeniopygia guttata). J Comp Neurol 360: 413-441.
13. Wild JM, Karten HJ, Frost BJ (1993) Connections of the auditory forebrain in the pigeon (Columba livia). J Comp Neurol 337: 32-62.
14. Bolhuis JJ, Gahr M (2006) Neural mechanisms of birdsong memory. Nat Rev Neurosci 7: 347-357.
15. Gehr DD, Capsius B, Gräbner P, Gahr M, Leppelsack HJ (1999) Functional organisation of the field-L-complex of adult male zebra finches. Neuroreport 10: 375-80.
16. Cousillas H, Leppelsack H, Leppelsack E, Richard J, Mathelier M, et al. (2005) Functional organization of the forebrain auditory centres of the European starling: A study based on natural sounds. Hearing Res 207: 10-21.
17. Grace JA, Amin N, Singh NC, Theunissen FE (2003) Selectivity for conspecific song in the zebra finch auditory forebrain. J Neurophysiol 89: 472-87.
18. Lewicki MS, Arthur BJ (1996) Hierarchical Organization of Auditory Temporal Context Sensitivity. J Neurosci 16: 6987-6998.
19. Müller CM, Leppelsack HJ (1985) Feature extraction and tonotopic organization in the avian auditory forebrain. Exp Brain Res 59: 587-99.
20. Nagel KI, Doupe AJ (2008) Organizing principles of spectro-temporal encoding in the avian primary Auditory Area Field L. Neuron 58: 938-955.
21. Sen K, Theunissen FE, Doupe AJ (2001) Feature analysis of natural sounds in the songbird auditory forebrain. J Neurophysiol 86: 1445-1458.
22. Theunissen FE, Sen K, Doupe AJ (2000) Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds. J Neurosci 20: 2315-2331.
23. Gill P, Woolley SMN, Fremouw T, Theunissen FE (2008) What's that sound? Auditory area CLM encodes stimulus surprise, not intensity or intensity changes. J Neurophysiol 99: 2809-2820.
24. Amin N, Doupe A, Theunissen FE (2007) Development of selectivity for natural sounds in the songbird auditory forebrain. J Neurophysiol 97: 3517-3531.
25. Boumans T, Theunissen FE, Poirier C, Linden AVD (2007) Neural representation of spectral and temporal features of song in the auditory forebrain of zebra finches as revealed by functional MRI. Eur J Neurosci 26: 2613-2626.
26. Nagel KI, Doupe AJ (2006) Temporal processing and adaptation in the songbird auditory forebrain. Neuron 51: 845-859.
27. Csicsvari J, Henze DA, Jamieson B, Harris KD, Sirota A, et al. (2003) Massively parallel recording of unit and Local Field Potentials with silicon-based electrodes. J Neurophysiol 90: 1314-1323.
28. Blanche TJ, Spacek MA, Hetke JF, Swindale NV (2005) Polytrodes: high-density silicon electrode arrays for large-scale multiunit recording. J Neurophysiol 93: 2987-3000.
29. Abeles M (1982) Local cortical circuits: An electrophysiological study. Berlin: Springer Verlag.
30. Destexhe A, Contreras D, Steriade M (1999) Spatiotemporal analysis of Local Field Potentials and unit discharges in cat cerebral cortex during natural wake and sleep states. J Neurosci 19: 4595-4608.
31. Terleph TA, Mello CV, Vicario DS (2006) Auditory topography and temporal response dynamics of canary caudal telencephalon. J Neurobiol 66: 281-292.
32. Squires K, Wickens C, Squires N, Donchin E (1976) The effect of stimulus sequence on the waveform of the cortical event-related potential. Science 193: 1142-1146.
33. Marler P (2004) Bird calls: a cornucopia for communication. In: Marler P, Slabbekoorn H, editors. Nature's Music. San Diego: Elsevier. pp. 132-176.
34. Vates GE, Broome BM, Mello CV, Nottebohm F (1996) Auditory pathways of caudal telencephalon and their relation to the song system of adult male zebra finches (Taenopygia guttata). J Comp Neurol 366: 613-642.
35. Grill-Spector K, Henson R, Martin A (2006) Repetition and the brain: neural models of stimulus-specific effects. Trends Cogn Sci 10: 14-23.
36. Condon CD, Weinberger NM (1991) Habituation produces frequency-specific plasticity of receptive fields in the auditory cortex. Behav Neurosci 105: 416-430.
37. Calford MB, Semple MN (1995) Monaural inhibition in cat auditory cortex. J Neurophysiol 73: 1876-1891.
38. Brosch M, Schreiner CE (1997) Time course of forward masking tuning curves in cat primary auditory cortex. J Neurophysiol 77: 923-943.
39. Malone BJ, Semple MN (2001) Effects of auditory stimulus context on the representation of frequency in the gerbil inferior colliculus. J Neurophysiol 86: 1113-1130.
40. Friston K (2005) A theory of cortical responses. Phil Trans R Soc B 360: 815-836.
41. May P, Tiitinen H, Ilmoniemi RJ, Nyman G, Taylor JG, et al. (1999) Frequency change detection in human auditory cortex. J Comput Neurosci 6: 99-120.
42. Jääskeläinen IP, Ahveninen J, Bonmassar G, Dale AM, Ilmoniemi RJ, et al. (2004) Human posterior auditory cortex gates novel sounds to consciousness. Proc Natl Acad Sci USA 101: 6809-6814.
43. Winkler I (2007) Interpreting the mismatch negativity. J Psychophysiol 21: 147-163.
44. Garrido MI, Friston KJ, Kiebel SJ, Stephan KE, Baldeweg T, et al. (2008) The functional anatomy of the MMN: A DCM study of the roving paradigm. NeuroImage 42: 936-944.
45. Chew SJ, Vicario DS, Nottebohm F (1996) A large-capacity memory system that recognizes the calls and songs of individual birds. Proc Natl Acad Sci U S A 93: 1950-5.
46. Cohen L (1995) Time-frequency analysis: theory and applications. Englewood cliffs, NJ: Prentice-Hall, Inc.
47. Alted F, Vilata I, Prater S, Mas V, Hedley T, et al. (2002) PyTables: Hierarchical datasets in Python. Available: http://www.pytables.org/.
48. Boersma P (1993) Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound. Proceedings of the Institute of Phonetic Sciences, Amsterdam 17: 97-110.
49. Tchernichovski O, Nottebohm F, Ho CE, Pesaran B, Mitra PP (2000) A procedure for an automated measurement of song similarity. Anim Behav 59: 1167-1176.
50. Jones E, Oliphant T, Peterson Pothers (2001) SciPy: Open source scientific tools for Python. Available: http://www.scipy.org/.
51. Kriegeskorte N, Simmons WK, Bellgowan PSF, Baker CI (2009) Circular analysis in systems neuroscience: the dangers of double dipping. Nat Neurosci 12: 535-540.
52. Venables W, Ripley B (1999) Modern applied statistics with S-PLUS. New York, N.Y.: Springer.
53. R Development Core Team (2009) R: A Language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available: http://www.R-project.org.
54. Baayen R, Davidson D, Bates D (2008) Mixed-effects modeling with crossed random effects for subjects and items. J Mem Lang 59: 412-390.
55. Gardner TJ, Magnasco MO (2006) Sparse time-frequency representations. Proc Natl Acad.Sci USA 103: 6094-9.