Discriminative learning of receptive fields from responses to non-gaussian stimulus ensembles

PLoS ONE

Volumn 9, Issue 4, 2014, Pages

  Meyer, Arne F ^a   Diepenbrock, Jan Philipp ^b   Happel, Max F K ^b,c   Ohl, Frank W ^b,c   Anemüller, Jörn ^a  

^a UNIVERSITY OF OLDENBURG   (Germany)

^b LEIBNIZ INSTITUTE FOR NEUROBIOLOGY   (Germany)

^c OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; AUDITORY CORTEX; AUDITORY STIMULATION; AUDITORY THRESHOLD; CLASSIFICATION BASED RECEPTIVE FIELD ESTIMATION; CLASSIFIER; COMPUTER ANALYSIS; COMPUTER PREDICTION; COMPUTER SIMULATION; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DATA ANALYSIS; DIGITAL FILTERING; DISCRIMINATION LEARNING; FREQUENCY MODULATION; KERNEL METHOD; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MERIONES UNGUICULATUS; MESENCEPHALON; NEUROLOGIC EXAMINATION; NONHUMAN; NORMAL DISTRIBUTION; PROCESS DESIGN; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; RECEPTIVE FIELD; SPECTROTEMPORAL RECEPTIVE FIELD; STIMULUS RESPONSE; VALIDATION PROCESS; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; ELECTROPHYSIOLOGY; GERBIL; NERVE CELL; PHYSIOLOGY; STATISTICAL MODEL;

ACOUSTIC STIMULATION; ACTION POTENTIALS; ANIMALS; DISCRIMINATION LEARNING; ELECTROPHYSIOLOGY; GERBILLINAE; LINEAR MODELS; MODELS, NEUROLOGICAL; NEURONS; NORMAL DISTRIBUTION;

EID: 84899430714     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0093062     Document Type: Article

References (67)

1. Rieke F, Warland D, Rob, Bialek W (1997) Spikes: Exploring the Neural Code. Cambridge, MA: MIT Press, 1st edition.
2. Dayan P, Abbott LF (2005) Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. The MIT Press.
3. Schwartz O, Pillow JW, Rust NC, Simoncelli EP (2006) Spike-triggered neural characterization. J Vis 6: 484-507. (Pubitemid 44130367)
4. Wu MC, David SV, Gallant JL (2006) Complete functional characterization of sensory neurons by system identification. Annu Rev Neurosci 29: 477-505. (Pubitemid 44478847)
5. Chichilnisky EJ (2001) A simple white noise analysis of neuronal light responses. Network 12: 199-213.
6. Touryan J, Lau B, Dan Y (2002) Isolation of relevant visual features from random stimuli for cortical complex cells. J Neurosci 22: 10811-10818. (Pubitemid 36005155)
7. David SV, Vinje WE, Gallant JL (2004) Natural stimulus statistics alter the receptive field structure of v1 neurons. J Neurosci 24: 6991-7006. (Pubitemid 39045456)
8. Sharpee TO, Sugihara H, Kurgansky AV, Rebrik SP, Stryker MP, et al. (2006) Adaptive filtering enhances information transmission in visual cortex. Nature 439: 936-942. (Pubitemid 43292406)
9. Pillow JW, Shlens J, Paninski L, Sher A, Litke AM, et al. (2008) Spatio-temporal correlations and visual signalling in a complete neuronal population. Nature 454: 995-999.
10. deCharms RC, Blake DT, Merzenich MM (1998) Optimizing sound features for cortical neurons. Science 280: 1439-1443. (Pubitemid 28264838)
11. Theunissen FE, Sen K, Doupe AJ (2000) Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds. J Neurosci 20: 2315-2331. (Pubitemid 30230085)
12. Schnupp JW, Mrsic-Flogel TD, King AJ (2001) Linear processing of spatial cues in primary auditory cortex. Nature 414: 200-204. (Pubitemid 33051233)
13. Fritz J, Shamma S, Elhilali M, Klein D (2003) Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex. Nat Neurosci 6: 1216-1223. (Pubitemid 37346043)
14. Woolley SMN, Fremouw TE, Hsu A, Theunissen FE (2005) Tuning for spectrotemporal modulations as a mechanism for auditory discrimination of natural sounds. Nat Neurosci 8: 1371-1379. (Pubitemid 41630426)
15. Atencio CA, Sharpee TO, Schreiner CE (2009) Hierarchical computation in the canonical auditory cortical circuit. Proc Natl Acad Sci U S A 106: 21894-21899.
16. Rabinowitz NC, Willmore BDB, Schnupp JWH, King AJ (2011) Contrast gain control in auditory cortex. Neuron 70: 1178-1191.
17. Paninski L (2003) Convergence properties of three spike-triggered analysis techniques. Network 14: 437-464.
18. Sharpee T, Rust NC, Bialek W (2004) Analyzing neural responses to natural signals: maximally informative dimensions. Neural Comput 16: 223-250. (Pubitemid 38074494)
19. deBoer E, Kuyper P (1968) Triggered correlation. IEEE Transactions on Biomedical Engineering BM15: 169-179.
20. Lesica NA, Ishii T, Stanley GB, Hosoya T (2008) Estimating receptive fields from responses to natural stimuli with asymmetric intensity distributions. PLoS One 3: e3060.
21. Park M, Pillow JW (2011) Receptive field inference with localized priors. PLoS Comput Biol 7: e1002219.
22. Christianson GB, Sahani M, Linden JF (2008) The consequences of response nonlinearities for interpretation of spectrotemporal receptive fields. J Neurosci 28: 446-455.
23. Kouh M, Sharpee TO (2009) Estimating linear-nonlinear models using renyi divergences. Network 20: 49-68.
24. Nelder JA, Wedderburn RWM (1972) Generalized linear models. Journal of the Royal Statistical Society, Series A, General 135: 370-384.
25. Paninski L (2004) Maximum likelihood estimation of cascade point-process neural encoding models. Network 15: 243-262.
26. Truccolo W, Eden UT, Fellows MR, Donoghue JP, Brown EN (2005) A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. J Neurophysiol 93: 1074-1089.
27. Calabrese A, Schumacher JW, Schneider DM, Paninski L,Woolley SMN (2011) A generalized linear model for estimating spectrotemporal receptive fields from responses to natural sounds. PLoS One 6: e16104.
28. McCulloch WS, Pitts W (1990) A logical calculus of the ideas immanent in nervous activity. 1943. Bull Math Biol 52: 99-115; discussion 73-97.
29. Vapnik VN (1995) The nature of statistical learning theory. New York, NY, USA: Springer-Verlag New York, Inc.
30. Bartlett PL, Jordan MI, McAuliffe JD (2006) Convexity, classification, and risk bounds. Journal of the American Statistical Association 101: 138-156. (Pubitemid 43500031)
31. Zhang T (2003) Statistical behavior and consistency of classification methods based on convex risk minimization. Annals of Statistics 32: 56-134.
32. Lin Y (2002) Support vector machines and the bayes rule in classification. Data Mining and Knowledge Discovery 6: 259-275.
33. Lin Y, Lee Y,Wahba G (2000) Support vector machines for classification in nonstandard situations. In: Machine Learning. 191-202.
34. Boser BE, Guyon IM, Vapnik VN (1992) A training algorithm for optimal margin classifiers. In: Proceedings of the fifth annual workshop on Computational learning theory. New York, NY, USA: ACM, COLT '92, 144-152. URL http://doi.acm.org/10.1145/130385.130401. doi:10.1145/130385.130401.
35. Cortes C, Vapnik V (1995) Support-vector networks. Machine Learning 20: 273-297.
36. Franc V, Zien A, Schölkopf B (2011) Support vector machines as probabilistic models. In: ICML. 665-672.
37. Newsome WT, Britten KH, Movshon JA (1989) Neuronal correlates of a perceptual decision. Nature 341: 52-54. (Pubitemid 19220654)
38. Ulanovsky N, Las L, Nelken I (2003) Processing of low-probability sounds by cortical neurons. Nature Neuroscience 6: 391-8. (Pubitemid 36373985)
39. Adelman TL, Bialek W, Olberg RM (2003) The information content of receptive fields. Neuron 40: 823-833. (Pubitemid 37431041)
40. Lin CJ, Weng RC, Keerthi SS (2008) Trust region newton method for logistic regression. J Mach Learn Res 9: 627-650.
41. Happel MFK, Jeschke M, Ohl FW (2010) Spectral integration in primary auditory cortex attributable to temporally precise convergence of thalamocortical and intracortical input. J Neurosci 30: 11114-11127.
42. Brückner S, Rübsamen R (1995) Binaural response characteristics in isofrequency sheets of the gerbil inferior colliculus. Hear Res 86: 1-14.
43. Cant NB, Benson CG (2005) An atlas of the inferior colliculus of the gerbil in three dimensions. Hear Res 206: 12-27. (Pubitemid 41080055)
44. Garofolo JS, Lamel LF, Fisher WM, Fiscus JG, Pallett DS, et al. (1993). Timit acoustic-phonetic continuous speech corpus. Linguistic Data Consortium, Philadelphia.
45. Lesica NA, Grothe B (2008) Dynamic spectrotemporal feature selectivity in the auditory midbrain. J Neurosci 28: 5412-5421.
46. Teeters JL, Harris KD, Millman KJ, Olshausen BA, Sommer FT (2008) Data sharing for computational neuroscience. Neuroinformatics 6: 47-55.
47. Hsu A, Woolley SMN, Fremouw TE, Theunissen FE (2004) Modulation power and phase spectrum of natural sounds enhance neural encoding performed by single auditory neurons. J Neurosci 24: 9201-9211. (Pubitemid 39372264)
48. Gill P, Zhang J, Woolley SMN, Fremouw T, Theunissen FE (2006) Sound representation methods for spectro-temporal receptive field estimation. J Comput Neurosci 21: 5-20. (Pubitemid 44028467)
49. Andoni S, Pollak GD (2011) Selectivity for spectral motion as a neural computation for encoding natural communication signals in bat inferior colliculus. J Neurosci 31: 16529-16540.
50. Pollak GD, Xie R, Gittelman JX, Andoni S, Li N (2011) The dominance of inhibition in the inferior colliculus. Hear Res 274: 27-39.
51. Fishbach A, Yeshurun Y, Nelken I (2003) Neural model for physiological responses to frequency and amplitude transitions uncovers topographical order in the auditory cortex. J Neurophysiol 90: 3663-3678. (Pubitemid 37541901)
52. Fishbach A, Nelken I, Yeshurun Y (2001) Auditory edge detection: a neural model for physiological and psychoacoustical responses to amplitude transients. J Neurophysiol 85: 2303-2323. (Pubitemid 32525510)
53. Nelken I, Fishbach A, Las L, Ulanovsky N, Farkas D (2003) Primary auditory cortex of cats: feature detection or something else? Biol Cybern 89: 397-406.
54. Escabi MA, Schreiner CE (2002) Nonlinear spectrotemporal sound analysis by neurons in the auditory midbrain. J Neurosci 22: 4114-4131. (Pubitemid 37465719)
55. Atencio CA, Sharpee TO, Schreiner CE (2012) Receptive field dimensionality increases from the auditory midbrain to cortex. J Neurophysiol 107: 2594-2603.
56. David SV, Mesgarani N, Shamma SA (2007) Estimating sparse spectro-temporal receptive fields with natural stimuli. Network 18: 191-212.
57. Sharpee TO, Miller KD, Stryker MP (2008) On the importance of static nonlinearity in estimating spatiotemporal neural filters with natural stimuli. J Neurophysiol 99: 2496-2509.
58. Fitzgerald JD, Sincich LC, Sharpee TO (2011) Minimal models of multidimensional computations. PLoS Comput Biol 7: e1001111.
59. Sharpee TO, Atencio CA, Schreiner CE (2011) Hierarchical representations in the auditory cortex. Current opinion in neurobiology.
60. Andoni S, Li N, Pollak GD (2007) Spectrotemporal receptive fields in the inferior colliculus revealing selectivity for spectral motion in conspecific vocalizations. J Neurosci 27: 4882-4893. (Pubitemid 46699062)
61. Burges CJ (1998) A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2: 121-167.
62. Paninski L (2003) Estimation of entropy and mutual information. Neural Comput 15: 1191-1253.
63. Meyer AF, Diepenbrock JP, Ohl FW, Anemüller J (2013) Quantifying neural coding noise in linear threshold models. In: Proceedings of the 6th International IEEE EMBS Conference on Neural Engineering. International IEEE/EMBS Conference on Neural Engineering (NER-2013), November 6-8, San Diego, CA, USA.
64. Fitzgerald JD, Rowekamp RJ, Sincich LC, Sharpee TO (2011) Second order dimensionality reduction using minimum and maximum mutual information models. PLoS Comput Biol 7: e1002249.
65. Park IM, Archer EW, Pillow J, Priebe N (2013) Spectral methods for neural characterization using generalized quadratic models. In: Burges CJC, Bottou L, Welling M, Ghahramani Z, Weinberger KQ, editors, Advances in Neural Information Processing Systems 26. 2454-2462. URL http://media.nips.cc/nipsbooks/nipspapers/ paper-files/nips26/1157.pdf.
66. Eliades SJ, Wang X (2008) Chronic multi-electrode neural recording in free-roaming monkeys. J Neurosci Methods 172: 201-214.
67. Machens CK, Wehr MS, Zador AM (2004) Linearity of cortical receptive fields measured with natural sounds. J Neurosci 24: 1089-1100. (Pubitemid 38177016)