The linearity of emergent spectro-temporal receptive fields in a model of auditory cortex

BioSystems

Volumn 94, Issue 1-2, 2008, Pages 60-67

  Coath, M ^a   Balaguer Ballester, E ^a   Denham, S L ^a   Denham, M ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Acoustic stimulation; Action potentials; Auditory; Auditory cortex; Auditory pathways; Computational models; Learning; Linearity; Neurons; Time factors

Indexed keywords

LEARNING; LINEARITY; MODELING; NERVOUS SYSTEM; SENSORY SYSTEM;

ARTICLE; AUDITORY CORTEX; BRAIN CELL; GENDER IDENTITY; IN VIVO STUDY; LEARNING; MATHEMATICAL MODEL; NERVE CELL PLASTICITY; STIMULUS; SYNAPSE; TEMPORAL CORTEX;

EID: 53749097592     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystems.2008.05.011     Document Type: Article

References (58)

1. Aertsen A., and Johannesma P. A comparison of the spectro-temporal sensitivityof auditory neurons to tonal and natural stimuli. Biol. Cybern. 42 2 (1981) 145-156
2. Atzori M., Lei S., Evans D.I., Kanold P.O., Phillips-Tansey E., McIntyre O., and McBain C.J. Differential synaptic processing separates stationary from transient inputs to the auditory cortex. Nat. Neurosci. 4 12 (2001) 1230-1237
3. Bi G.-Q., and Rubin J. Timing in synaptic plasticity: from detection to integration. Trends Neurosci. 28 5 (2005) 222-228
4. Brette R., and Gerstner W. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J. Neurophysiol. 94 5 (2005) 3637-3642
5. Coath M., Brader J.M., Fusi S., and Denham S.L. Multiple views of the response of an ensemble of spectro-temporal features support concurrent classification of utterance, prosody, sex and speaker identity. Network 16 2-3 (2005) 285-300
6. Coath M., and Denham S.L. Robust sound classification through the representation of similarity using response fields derived from stimuli during early experience. Biol. Cybern. 93 1 (2005) 22-30
7. Coath M., and Denham S.L. The role of transients in auditory processing. Biosystems 89 1-3 (2007) 182-189
8. Dayan P., and Abbot L.F. Theoretical neuroscience: Computational and mathematical modeling of neural systems (2001), MIT Press
9. de Boer R., and Kuyper P. Triggered correlation. IEEE Trans. Biomed. Eng. 15 3 (1968) 169-179
10. deCharms R., Blake D., and Merzenich M. Optimizing sound features for cortical neurons. Science 280 5368 (1998) 1439-1443
11. Denham S.L. Cortical Synaptic Depression and Auditory Perception. Computational Models of Auditory Function (2001), IOS Press, Amsterdam 281-296
12. 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 3 (2001) 1220-1234
13. Destexhe A., Rudolph M., and Par D. The highconductance state of neocortical neurons in vivo. Nat. Rev. Neurosci. 4 9 (2003) 739-751
14. Drew P.J., and Abbott L.F. Extending the effects of spike-timing-dependent plasticity to behavioral timescales. Proc. Natl. Acad. Sci. U.S.A. 103 23 (2006) 8876-8881
15. Eggermont J.J. Temporal modulation transfer functions in cat primary auditory cortex: separating stimulus effects from neural mechanisms. J. Neurophysiol. 87 1 (2002) 305-321
16. Elhilali M., Fritz J.B., Klein D.J., Simon J.Z., and Shamma S.A. Dynamics of precise spike timing in primary auditory cortex. J. Neurosci. 24 5 (2004) 1159-1172
17. Fourcaud-Trocm N., and Brunel N. Dynamics of the instantaneous firing rate in response to changes in input statistics. J. Comput. Neurosci. 18 3 (2005) 311-321
18. Frisina R.D., Smith R.L., and Chamberlain S.C. Differential encoding of rapid changes in sound amplitude by second order auditory neurons, Exp. Brain Res. 60 (1985) 417-422
19. Gerstner W., and Kistler M. Spiking Neuron Models (2002), Cambridge University Press
20. Glasberg B.R., and Moore B.C. Derivation of auditory filter shapes from notched noise data. Hear. Res. 47 1 (1990) 103-138
21. Guillery R.W., Feig S.L., and Lozsdi D.A. Paying attention to the thalamic reticular nucleus. Trends Neurosci. 21 1 (1998) 28-32
22. Guillery R.W., and Sherman S.M. Thalamic relay functions and their role in corticocortical communication: generalizations from the visual system. Neuron 33 2 (2002) 163-175
23. Heil P. Auditory cortical onset responses revisited. I. First-spike timing. J. Neurophysiol. 77 5 (1997) 2616-2641
24. Hubel D.H., and Wiesel T.N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J. Physiol. 160 (1962) 106-154
25. Illing R.-B. Maturation and plasticity of the central auditory system. Acta Otolaryngol. Suppl. 552 552 (2004) 6-10
26. Indiveri G., Chicca E., and Douglas R. A VLSI array of low-power spiking neurons and bistable synapses with spiketiming dependent plasticity. IEEE Trans. Neural Netw. 17 1 (2006) 211-221
27. Jacob V., Brasier D.J., Erchova I., Feldman D., and Shulz D.E. Spike timing-dependent synaptic depression in the in vivo barrel cortex of the rat. J. Neurosci. 27 6 (2007) 1271-1284
28. King A., and Schnupp J. Sensory neuroscience: visualizing the auditory cortex. Curr. Biol. 8 22 (1998) 784-787
29. 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 1 (2000) 85-111
30. Kowalski N., Depireux D., and Shamma S. Analysis of dynamic spectra in ferret primary auditory cortex. I. Characteristics of single-unit responses to moving ripple spectra. J. Neurophysiol. 76 5 (1996) 3503-3523
31. Kowalski N., Depireux D., and Shamma S. Analysis of dynamic spectra in ferret primary auditory cortex. II. Prediction of unit responses to arbitrary dynamic spectra. J. Neurophysiol. 76 5 (1996) 3524-3534
32. Krumbholz K., Patterson R.D., SeitherPreisler A., Lammertmann C., and Ltkenhner B. Neuromagnetic evidence for a pitch processing center in Heschl's gyrus. Cereb. Cortex 13 7 (2003) 765-772
33. Langner G., and Schreiner C. Periodicity coding in the inferior colliculus of the cat. I. Neuronal mechanisms. J. Neurophysiol. 60 6 (1988) 1799-1822
34. Ljung L. System Identification: Theory for the User (1986), Prentice-Hall, Inc., Upper Saddle River, NJ, USA
35. Machens C.K., Wehr M.S., and Zador A.M. Linearity of cortical receptive fields measured with natural sounds. J. Neurosci. 24 5 (2004) 1089-1100
36. Marie R.L.S., Stanforth D.A., and Jubelier E.M. Substrate for rapid feedforward inhibition of the auditory forebrain. Brain Res. 765 1 (1997) 173-176
37. Miller L.M., Escabi M.A., Read H.L., and Schreiner C.E. Spectrotemporal receptive fields in the lemniscal auditory thalamus and cortex. J. Neurophysiol. 87 1 (2002) 516-527
38. Ostergaard P.B. Implementation details of a computational model of the inner hair cell/auditory nerve synapse. J. Acoust. Soc. Am. 87-4 (1990) 1813-1816
39. Patterson R.D., Robinson K., Holdsworth J., McKeown D., Zhang C., and Allerhand M.H. Auditory Physiology and Perception (1992), Oxford 429-446
40. Phillips D., Hall S., and Boehnke S. Central auditory onset responses, and temporal asymmetries in auditory perception. Hear. Res. 167 1-2 (2002) 192-205
41. Rao, V.R., Finkbeiner, S., 2007. NMDA and AMPA receptors: old channels, new tricks. Trends Neurosci. 30 (6) 284-291.
42. Rhode W., and Greenberg S. Encoding of amplitude modulation in the cochlear nucleus of the cat. J. Neurophysiol. 71 5 (1994) 1797-1825
43. Richardson M.J.E., Brunel N., and Hakim V. From subthreshold to firing-rate resonance. J. Neurophysiol. 89 5 (2003) 2538-2554
44. Rouiller E., de Ribaupierre Y., Toros-Morel A., and de Ribaupierre F. Neural coding of repetitive clicks in the medial geniculate body of cat. Hear. Res. 5 1 (1981) 81-100
45. Rouiller E., and de Ribaupierre F. Neurons sensitive to narrow ranges of repetitive acoustic transients in the medial geniculate body of the cat, Exp. Brain Res. 48 3 (1982) 323-326
46. Slaney, M., 1994. Auditory toolbox documentation. Technical report 45, Tech. rep., Apple Computers Inc.
47. Theunissen F.E., David S.V., Singh N.C., Hsu A., Vinje W.E., and Gallant J.L. Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli. Netw.: Comput. Neural Syst. 12 (2001) 289-316
48. Theunissen F.E., Sen K., and Doupe A.J. Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds. J. Neurosci. 20 6 (2000) 2315-2331
49. Thomson A.M., and Bannister A.P. Interlaminar connections in the neocortex. Cereb. Cortex 13 1 (2003) 5-14
50. Trussel, L.O., 2002. In: Oertel, D., Fay, R.R., Popper, A.N. (Eds.), Integrative Functions in the Mammalian Auditory Pathway. Springer.
51. Tsodyks M.V., and Markram H. The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc. Natl. Acad. Sci. U.S.A. 94 2 (1997) 719-723
52. Ullman S., Vidal-Naquet M., and Sali E. Visual features of intermediate complexity and their use in classification. Nat. Neurosci. 5 7 (2002) 682-687
53. Wang X. The unexpected consequences of a noisy environment. Trends Neurosci. 27 7 (2004) 364-366
54. Winer J.A., Miller L.M., Lee C.C., and Schreiner C.E. Auditory thalamo-cortical transformation: structure and function. Trends Neurosci. 28 5 (2005) 255-263
55. Winer J.A., Marie R.L.S., Larue D.T., and Oliver D.L. GABAergic feedforward projections from the inferior colliculus to the medial geniculate body. Proc. Natl. Acad. Sci. U.S.A. 93 15 (1996) 8005-8010
56. Zhang L., Bao S., and Merzenich M. Persistent and specific influences of early acoustic environments on primary auditory cortex. Nat. Neurosci. 4 11 (2001) 1123-1130
57. Zhang L.I., Bao S., and Merzenich M.M. Disruption of primary auditory cortex by synchronous auditory inputs during a critical period. Proc. Natl. Acad. Sci. U.S.A. 99 4 (2002) 2309-2314
58. Zhang, J., Gill, P., 2006. Strfpak documentation, Tech. rep., Theunissen and Gallant Laboratories, UC Berkeley.