Cooperative Nonlinearities in Auditory Cortical Neurons

Neuron

Volumn 58, Issue 6, 2008, Pages 956-966

  Atencio, Craig A ^a   Sharpee, Tatyana O ^a   Schreiner, Christoph E ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

SYSNEURO

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; AUDITORY CORTEX; AUDITORY DISCRIMINATION; AUDITORY STIMULATION; BRAIN CELL; CAT; CONTROLLED STUDY; NONHUMAN; PRIORITY JOURNAL; RECEPTIVE FIELD; STIMULUS RESPONSE;

ACOUSTIC STIMULATION; ACTION POTENTIALS; ANIMALS; AUDITORY CORTEX; AUDITORY PATHWAYS; CATS; NEURONS; NONLINEAR DYNAMICS;

EID: 45249101112     PISSN: 08966273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuron.2008.04.026     Document Type: Article

References (54)

1. Adelman T.L., Bialek W., and Olberg R.M. The information content of receptive fields. Neuron 40 (2003) 823-833
2. Adelson E.H., and Bergen J.R. Spatiotemporal energy models for the perception of motion. J. Opt. Soc. Am. A 2 (1985) 284-299
3. Aertsen A., and Johannesma P.I. Spectro-temporal receptive fields of auditory neurons in the grassfrog. I. Characterization of tonal and natural stimuli. Biol. Cybern. 38 (1980) 223-234
4. Aguera y Arcas B., Fairhall A.L., and Bialek W. Computation in a single neuron: Hodgkin and Huxley revisited. Neural Comput. 15 (2003) 1715-1749
5. Bain L.J., and Engelhardt M. Introduction to Probability and Mathematical Statistics. Second Edition (1992), PWS-KENT, Boston
6. Chen X., Han F., Poo M.M., and Dan Y. Excitatory and suppressive receptive field subunits in awake monkey primary visual cortex (V1). Proc. Natl. Acad. Sci. USA 104 (2007) 19120-19125
7. Christianson G.B., Sahani M., and Linden J.F. The consequences of response nonlinearities for interpretation of spectrotemporal receptive fields. J. Neurosci. 28 (2008) 446-455
8. de Boer R., and Kuyper P. Triggered correlation. IEEE Trans. Biomed. Eng. 15 (1968) 169-179
9. de Ruyter van Steveninck R., and Bialek W. Real-time performance of a movement-sensitive neuron in the blowfly visual system: coding and information transfer in short spike sequences. Proc. R. Soc. Lond. B. Biol. Sci. 234 (1988) 379-414
10. deCharms R.C., Blake D.T., and Merzenich M.M. Optimizing sound features for cortical neurons. Science 280 (1998) 1439-1443
11. Depireux D.A., Simon J.Z., Klein D.J., and Shamma S.A. Spectro-temporal response field characterization with dynamic ripples in ferret primary auditory cortex. J. Neurophysiol. 85 (2001) 1220-1234
12. Efron B., and Tibshirani R.J. An Introduction to the Bootstrap (1994), Chapman & Hall/CRC, Boca Raton
13. Escabí M.A., and Schreiner C.E. Nonlinear spectrotemporal sound analysis by neurons in the auditory midbrain. J. Neurosci. 22 (2002) 4114-4131
14. Escabí M.A., Miller L.M., Read H.L., and Schreiner C.E. Naturalistic auditory contrast improves spectrotemporal coding in the cat inferior colliculus. J. Neurosci. 23 (2003) 11489-11504
15. Fairhall A.L., Burlingame C.A., Narasimhan R., Harris R.A., Puchalla J.L., and Berry II M.J. Selectivity for multiple stimulus features in retinal ganglion cells. J. Neurophysiol. 96 (2006) 2724-2738
16. Felsen G., Touryan J., Han F., and Dan Y. Cortical sensitivity to visual features in natural scenes. PLoS Biol. 3 (2005) e342 10.1371/journal.pbio.0030342
17. Fritz J.B., Elhilali M., and Shamma S.A. Differential dynamic plasticity of A1 receptive fields during multiple spectral tasks. J. Neurosci. 25 (2005) 7623-7635
18. Hsu A., Woolley S.M., Fremouw T.E., and Theunissen F.E. Modulation power and phase spectrum of natural sounds enhance neural encoding performed by single auditory neurons. J. Neurosci. 24 (2004) 9201-9211
19. Jenkins W.M., and Merzenich M.M. Role of cat primary auditory cortex for sound-localization behavior. J. Neurophysiol. 52 (1984) 819-847
20. Klein D.J., Depireux D.A., Simon J.Z., and Shamma S.A. Robust spectrotemporal reverse correlation for the auditory system: optimizing stimulus design. J. Comput. Neurosci. 9 (2000) 85-111
21. Lee Y.W., and Schetzen M. Measurement of the Wiener kernels of a non-linear system by cross-correlation. Int. J. Control 2 (1965) 237-254
22. Lewicki M.S. Bayesian modeling and classification of neural signals. Neural Comput. 6 (1994) 1005-1030
23. Machens C.K., Wehr M.S., and Zador A.M. Linearity of cortical receptive fields measured with natural sounds. J. Neurosci. 24 (2004) 1089-1100
24. Maravall M., Petersen R.S., Fairhall A.L., Arabzadeh E., and Diamond M.E. Shifts in coding properties and maintenance of information transmission during adaptation in barrel cortex. PLoS Biol. 5 (2007) e19 10.1371/journal.pbio.0050019
25. Margoliash D., and Fortune E.S. Temporal and harmonic combination-sensitive neurons in the zebra finch's HVc. J. Neurosci. 12 (1992) 4309-4326
26. Marmarelis V.Z. Modeling methodology for nonlinear physiological systems. Ann. Biomed. Eng. 25 (1997) 239-251
27. Mechler F., and Ringach D.L. On the classification of simple and complex cells. Vision Res. 42 (2002) 1017-1033
28. Miller L.M., and Schreiner C.E. Stimulus-based state control in the thalamocortical system. J. Neurosci. 20 (2000) 7011-7016
29. Miller L.M., Escabí M.A., and Schreiner C.E. Feature selectivity and interneuronal cooperation in the thalamocortical system. J. Neurosci. 21 (2001) 8136-8144
30. Miller L.M., Escabí M.A., Read H.L., and Schreiner C.E. Spectrotemporal receptive fields in the lemniscal auditory thalamus and cortex. J. Neurophysiol. 87 (2002) 516-527
31. Paninski L. Convergence properties of three spike-triggered analysis techniques. Network 14 (2003) 437-464
32. Portfors C.V., and Wenstrup J.J. Excitatory and facilitatory frequency response areas in the inferior colliculus of the mustached bat. Hear. Res. 168 (2002) 131-138
33. Priebe N.J., Mechler F., Carandini M., and Ferster D. The contribution of spike threshold to the dichotomy of cortical simple and complex cells. Nat. Neurosci. 7 (2004) 1113-1122
34. Read H.L., Winer J.A., and Schreiner C.E. Functional architecture of auditory cortex. Curr. Opin. Neurobiol. 12 (2002) 433-440
35. Ringach D.L. Mapping receptive fields in primary visual cortex. J. Physiol. 558 (2004) 717-728
36. Ringach D.L., Hawken M.J., and Shapley R. Receptive field structure of neurons in monkey primary visual cortex revealed by stimulation with natural image sequences. J. Vis. 2 (2002) 12-24
37. Rust N.C., and Movshon J.A. In praise of artifice. Nat. Neurosci. 8 (2005) 1647-1650
38. Rust N.C., Schwartz O., Movshon J.A., and Simoncelli E.P. Spatiotemporal elements of macaque v1 receptive fields. Neuron 46 (2005) 945-956
39. Sahani M., and Linden J.F. How linear are auditory cortical responses?. In: Becker S., Thrun S., and Obermayer K. (Eds). Advances in Neural Information Processing Systems (2003), MIT Press, Cambridge, MA 109-116
40. Schwartz O., Pillow J.W., Rust N.C., and Simoncelli E.P. Spike-triggered neural characterization. J. Vis. 6 (2006) 484-507
41. Sharpee T.O. Comparison of information and variance maximization strategies for characterizing neural feature selectivity. Stat. Med. 26 (2007) 4009-4031
42. Sharpee T., Rust N.C., and Bialek W. Maximally informative dimensions: analyzing neural responses to natural signals. In: Becker S., Thrun S., and Obermayer K. (Eds). Advances in Neural Information Processing 15 (2003), MIT Press, Cambridge, MA
43. Sharpee T., Rust N.C., and Bialek W. Analyzing neural responses to natural signals: maximally informative dimensions. Neural Comput. 16 (2004) 223-250
44. Sharpee T.O., Sugihara H., Kurgansky A.V., Rebrik S.P., Stryker M.P., and Miller K.D. Adaptive filtering enhances information transmission in visual cortex. Nature 439 (2006) 936-942
45. Simoncelli E.P., Paninski L., Pillow J., and Schwartz O. Characterization of neural responses with stochastic stimuli. In: Gazzaniga M. (Ed). The New Cognitive Neurosciences. Third Edition (2004), MIT Press, Cambridge, MA
46. Skottun B.C., De Valois R.L., Grosof D.H., Movshon J.A., Albrecht D.G., and Bonds A.B. Classifying simple and complex cells on the basis of response modulation. Vision Res. 31 (1991) 1079-1086
47. Slee S.J., Higgs M.H., Fairhall A.L., and Spain W.J. Two-dimensional time coding in the auditory brainstem. J. Neurosci. 25 (2005) 9978-9988
48. Suga N., O'Neill W.E., and Manabe T. Cortical neurons sensitive to combinations of information-bearing elements of biosonar signals in the mustache bat. Science 200 (1978) 778-781
49. Theunissen F.E., Sen K., and Doupe A.J. Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds. J. Neurosci. 20 (2000) 2315-2331
50. Touryan J., Lau B., and Dan Y. Isolation of relevant visual features from random stimuli for cortical complex cells. J. Neurosci. 22 (2002) 10811-10818
51. Touryan J., Felsen G., and Dan Y. Spatial structure of complex cell receptive fields measured with natural images. Neuron 45 (2005) 781-791
52. Woolley S.M., Fremouw T.E., Hsu A., and Theunissen F.E. Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds. Nat. Neurosci. 8 (2005) 1371-1379
53. Woolley S.M., Gill P.R., and Theunissen F.E. Stimulus-dependent auditory tuning results in synchronous population coding of vocalizations in the songbird midbrain. J. Neurosci. 26 (2006) 2499-2512
54. Yamada W.M., and Lewis E.R. Predicting the temporal responses of non-phase-locking bullfrog auditory units to complex acoustic waveforms. Hear. Res. 130 (1999) 155-170