Constructing Noise-Invariant Representations of Sound in the Auditory Pathway

PLoS Biology

Volumn 11, Issue 11, 2013, Pages

  Rabinowitz, Neil C ^a,b   Willmore, Ben D B ^a   King, Andrew J ^a   Schnupp, Jan W H ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION; ANIMAL EXPERIMENT; ARTICLE; AUDITORY CORTEX; AUDITORY NERVOUS SYSTEM; AUDITORY STIMULATION; COCHLEAR NERVE; INFERIOR COLLICULUS; NERVE CELL; NOISE; NONHUMAN; SOUND; STATISTICAL ANALYSIS; STIMULUS RESPONSE;

ACOUSTIC STIMULATION; ADAPTATION, PHYSIOLOGICAL; ANIMALS; AUDITORY CORTEX; AUDITORY PERCEPTION; COCHLEAR NERVE; COMPUTER SIMULATION; FEMALE; FERRETS; HEARING; HUMANS; MALE; MODELS, NEUROLOGICAL; NEURAL CONDUCTION; NOISE; SIGNAL-TO-NOISE RATIO;

EID: 84889011368     PISSN: 15449173     EISSN: 15457885     Source Type: Journal    
DOI: 10.1371/journal.pbio.1001710     Document Type: Article

References (72)

1. Joris PX, Schreiner CE, Rees A, (2004) Neural processing of amplitude-modulated sounds. Physiol Rev 84: 541-577.
2. Young ED, (2008) Neural representation of spectral and temporal information in speech. Philos Trans R Soc Lond B Biol Sci 363: 923-945.
3. Schreiner CE, Froemke RC, Atencio CA (2011) Spectral processing in auditory cortex. In: Winer JA, Schreiner CE, editors, The auditory cortex, Springer. pp. 275-308.
4. Formisano E, Martino FD, Bonte M, Goebel R, (2008) "Who" is saying "what"? brain-based decoding of human voice and speech. Science 322: 970-973.
5. Okada K, Rong F, Venezia J, Matchin W, Hsieh IH, et al. (2010) Hierarchical organization of human auditory cortex: evidence from acoustic invariance in the response to intelligible speech. Cereb Cortex 20: 2486-2495.
6. Chang EF, Rieger JW, Johnson K, Berger MS, Barbaro NM, et al. (2010) Categorical speech representation in human superior temporal gyrus. Nat Neurosci 13: 1428-1432.
7. Ding N, Simon JZ, (2012) Emergence of neural encoding of auditory objects while listening to competing speakers. Proc Natl Acad Sci 109: 11854-11859.
8. Ding N, Simon JZ, (2013) Adaptive temporal encoding leads to a background-insensitive cortical representation of speech. J Neurosci 33: 5728-5735.
9. Nagel KI, Doupe AJ, (2006) Temporal processing and adaptation in the songbird auditory forebrain. Neuron 51: 845-859.
10. Rabinowitz NC, Willmore BD, Schnupp JW, King AJ, (2011) Contrast gain control in auditory cortex. Neuron 70: 1178-1191.
11. Sharpee TO, Nagel KI, Doupe AJ, (2011) Two-dimensional adaptation in the auditory forebrain. J Neurophysiol 106: 1841-1861.
12. Rabinowitz NC, Willmore BDB, Schnupp JWH, King AJ, (2012) Spectrotemporal contrast kernels for neurons in primary auditory cortex. J Neurosci 32: 11271-11284.
13. Rees A, Møller AR, (1987) Stimulus properties influencing the responses of inferior colliculus neurons to amplitude-modulated sounds. Hear Res 27: 129-143.
14. Rees A, Palmer AR, (1989) Neuronal responses to amplitude-modulated and pure-tone stimuli in the guinea pig inferior colliculus, and their modification by broadband noise. J Acoust Soc Am 85: 1978-1994.
15. Krishna BS, Semple MN, (2000) Auditory temporal processing: responses to sinusoidally amplitude modulated tones in the inferior colliculus. J Neurophysiol 84: 255-273.
16. Kvale MN, Schreiner CE, (2004) Short-term adaptation of auditory receptive fields to dynamic stimuli. J Neurophysiol 91: 604-612.
17. Lesica NA, Grothe B, (2008) Efficient temporal processing of naturalistic sounds. PLoS ONE 3: e1655 doi:10.1371/journal.pone.0001655.
18. Blake DT, Merzenich MM, (2002) Changes of AI receptive fields with sound density. J Neurophysiol 88: 3409-3420.
19. Valentine PA, Eggermont JJ, (2004) Stimulus dependence of spectro-temporal receptive fields in cat primary auditory cortex. Hear Res 196: 119-133.
20. Dean I, Harper NS, McAlpine D, (2005) Neural population coding of sound level adapts to stimulus statistics. Nat Neurosci 8: 1684-1689.
21. Watkins PV, Barbour DL, (2008) Specialized neuronal adaptation for preserving input sensitivity. Nat Neurosci 11: 1259-1261.
22. Bar-Yosef O, Rotman Y, Nelken I, (2002) Responses of neurons in cat primary auditory cortex to bird chirps: effects of temporal and spectral context. J Neurosci 22: 8619-8632.
23. Bar-Yosef O, Nelken I, (2007) The effects of background noise on the neural responses to natural sounds in cat primary auditory cortex. Front Comp Neurosci 1: 3.
24. Escabí MA, Miller LM, Read HL, Schreiner CE, (2003) Naturalistic auditory contrast improves spectrotemporal coding in the cat inferior colliculus. J Neurosci 23: 11489-11504.
25. Shetake JA, Wolf JT, Cheung RJ, Engineer CT, Ram SK, et al. (2011) Cortical activity patterns predict robust speech discrimination ability in noise. Eur J Neurosci 34: 1823-1838.
26. Mesgarani N, Chang EF, (2012) Selective cortical representation of attended speaker in multi-talker speech perception. Nature 485: 233-236.
27. Zilany MSA, Bruce IC, Nelson PC, Carney LH, (2009) A phenomenological model of the synapse between the inner hair cell and auditory nerve: long-term adaptation with power-law dynamics. J Acoust Soc Am 126: 2390-2412.
28. McDermott J, Simoncelli E, (2011) Sound texture perception via statistics of the auditory periphery: evidence from sound synthesis. Neuron 71: 926-940.
29. Miller GA, Nicely PE, (1955) An analysis of perceptual confusions among some English consonants. J Acoust Soc Am 27: 338-352.
30. Wang MD, Bilger RC, (1973) Consonant confusions in noise: a study of perceptual features. J Acoust Soc Am 54: 1248-1266.
31. Phatak SA, Lovitt A, Allen JB, (2008) Consonant confusions in white noise. J Acoust Soc Am 124: 1220-1233.
32. Woolley SMN, Casseday JH, (2005) Processing of modulated sounds in the zebra finch auditory midbrain: responses to noise, frequency sweeps, and sinusoidal amplitude modulations. J Neurophysiol 94: 1143-1157.
33. Louage DHG, van der Heijden M, Joris PX, (2005) Enhanced temporal response properties of anteroventral cochlear nucleus neurons to broadband noise. J Neurosci 25: 1560-1570.
34. Attias H, Schreiner C (1997) Temporal low-order statistics of natural sounds. In: Advances in neural information processing systems, Cambridge, MA: MIT Press, volume 9. pp. 27-33.
35. Singh NC, Theunissen FE, (2003) Modulation spectra of natural sounds and ethological theories of auditory processing. J Acoust Soc Am 114: 3394-3411.
36. Wen B, Wang GI, Dean I, Delgutte B, (2009) Dynamic range adaptation to sound level statistics in the auditory nerve. J Neurosci 29: 13797-13808.
37. deCharms RC, Blake DT, Merzenich MM, (1998) Optimizing sound features for cortical neurons. Science 280: 1439-1444.
38. Linden JF, Liu RC, Sahani M, Schreiner CE, Merzenich MM, (2003) Spectrotemporal structure of receptive fields in areas AI and AAF of mouse auditory cortex. J Neurophysiol 90: 2660-2675.
39. Ahrens M, Linden J, Sahani M, (2008) Nonlinearities and contextual inuences in auditory cortical responses modeled with multilinear spectrotemporal methods. J Neurosci 28: 1929-1942.
40. Chichilnisky EJ, (2001) A simple white noise analysis of neuronal light responses. Network 12: 199-213.
41. Simoncelli EP, Paninski L, Pillow J, Schwartz O (2004) Characterization of neural responses with stochastic stimuli. In: Gazzaniga M, editor, The cognitive neurosciences III, Cambridge, MA: MIT Press. pp. 327-338.
42. Bialek W, Rieke F, Steveninck RdRv, Warland D, (1991) Reading a neural code. Science 252: 1854-1857.
43. Mesgarani N, David SV, Fritz JB, Shamma SA, (2009) Inuence of context and behavior on stimulus reconstruction from neural activity in primary auditory cortex. J Neurophysiol 102: 3329-3339.
44. Ramirez AD, Ahmadian Y, Schumacher J, Schneider D, Woolley SMN, et al. (2011) Incorporating naturalistic correlation structure improves spectrogram reconstruction from neuronal activity in the songbird auditory midbrain. J Neurosci 31: 3828-3842.
45. Pasley BN, David SV, Mesgarani N, Flinker A, Shamma SA, et al. (2012) Reconstructing speech from human auditory cortex. PLoS Biol 10: e1001251 doi:10.1371/journal.pbio.1001251.
46. Dau T, Kollmeier B, Kohlrausch A, (1997) Modeling auditory processing of amplitude modulation. i. detection and masking with narrow-band carriers. J Acoust Soc Am 102: 2892.
47. Moore RC, Lee T, Theunissen FE, (2013) noise-invariant neurons in the avian auditory cortex: hearing the song in noise. PLoS Comput Biol 9: e1002942 doi:10.1371/journal.pcbi.1002942.
48. Chechik G, Nelken I, (2012) Auditory abstraction from spectro-temporal features to coding auditory entities. Proc Natl Acad Sci 109 (46) (): 18968-18973.
49. Schneider D, Woolley S, (2013) Sparse and background-invariant coding of vocalizations in auditory scenes. Neuron 79: 141-152.
50. Woolley SMN, Fremouw TE, Hsu A, Theunissen FE, (2005) Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds. Nat Neurosci 8: 1371-1379.
51. Zion Golumbic EM, Ding N, Bickel S, Lakatos P, Schevon CA, et al. (2013) Mechanisms underlying selective neuronal tracking of attended speech at a cocktail party. Neuron 77: 980-991.
52. Rees A, Green G, Kay R, (1986) Steady-state evoked responses to sinusoidally amplitude-modulated sounds recorded in man. Hear Res 23: 123-133.
53. Cunningham J, Nicol T, Zecker SG, Bradlow A, Kraus N, (2001) Neurobiologic responses to speech in noise in children with learning problems: deficits and strategies for improvement. Clin Neurophysiol 112: 758-767.
54. Billings CJ, Tremblay KL, Stecker GC, Tolin WM, (2009) Human evoked cortical activity to signal-to-noise ratio and absolute signal level. Hear Res 254: 15-24.
55. Dahmen JC, Keating P, Nodal FR, Schulz A, King AJ, (2010) Adaptation to stimulus statistics in the perception and neural representation of auditory space. Neuron 66: 937-948.
56. Cooper NP, Guinan JJ, (2006) Efferent-mediated control of basilar membrane motion. J of Physiol 576: 4954.
57. Hienz RD, Stiles P, May BJ, (1998) Effects of bilateral olivocochlear lesions on vowel formant discrimination in cats. Hear Res 116: 10-20.
58. Guinan JJ, (2006) Olivocochlear efferents: anatomy, physiology, function, and the measurement of efferent effects in humans. Ear Hear 27: 589-607.
59. Zilany MSA, Carney LH, (2010) Power-law dynamics in an auditory-nerve model can account for neural adaptation to sound-level statistics. J Neurosci 30: 10380-10390.
60. Joris P, Yin T, (1992) Responses to amplitude-modulated tones in the auditory nerve of the cat. J Acoust Soc Am 91: 215-232.
61. Panzeri S, Senatore R, Montemurro MA, Petersen RS, (2007) Correcting for the sampling bias problem in spike train information measures. J Neurophysiol 98: 1064-1072.
62. Rothschild G, Nelken I, Mizrahi A, (2010) Functional organization and population dynamics in the mouse primary auditory cortex. Nat Neurosci 13: 353-360.
63. Sakata S, Harris KD, (2009) Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex. Neuron 64: 404-418.
64. Averbeck BB, Latham PE, Pouget A, (2006) Neural correlations, population coding and computation. Nat Rev Neurosci 7: 358-366.
65. Graf ABA, Kohn A, Jazayeri M, Movshon JA, (2011) Decoding the activity of neuronal populations in macaque primary visual cortex. Nat Neurosci 14: 239-245.
66. Jeanne J, Sharpee T, Gentner T, (2013) Associative learning enhances population coding by inverting interneuronal correlation patterns. Neuron 78: 352-363.
67. Adibi M, McDonald JS, Clifford CWG, Arabzadeh E, (2013) Adaptation improves neural coding efficiency despite increasing correlations in variability. J Neurosci 33: 2108-2120.
68. Slaney M (1993) An efficient implementation of the Patterson-Holdsworth auditory filter bank. Apple Computer, Perception Group, Tech Rep.
69. Goodman D, Brette R, (2008) Brian: a simulator for spiking neural networks in Python. Front Neuroinform 2: 5.
70. Glasberg BR, Moore BCJ, (1990) Derivation of auditory filter shapes from notched-noise data. Hear Res 47: 103138.
71. Ruggero MA, (1992) Responses to sound of the basilar membrane of the mammalian cochlea. Curr Opin Neurobiol 2: 449-456.
72. Dean I, Robinson BL, Harper NS, McAlpine D, (2008) Rapid neural adaptation to sound level statistics. J Neurosci 28: 6430-6438.