An efficient coding hypothesis links sparsity and selectivity of neural responses

PLoS ONE

Volumn 6, Issue 10, 2011, Pages

  Blättler, Florian ^a   Hahnloser, Richard H R ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUDITORY RESPONSE; BRAIN; COCHLEA; EVOKED SOMATOSENSORY RESPONSE; NERVE POTENTIAL; NOISE REDUCTION; RECEPTIVE FIELD; SENSORY STIMULATION; SIMULATION; SYNAPTIC MEMBRANE; ACTION POTENTIAL; ALGORITHM; ANIMAL; AUDITORY STIMULATION; BIOLOGICAL MODEL; COMPUTER SIMULATION; FINCH; NERVE CELL; NERVE TRACT; PHYSIOLOGY; SOUND DETECTION; SYNAPSE; TIME; VOCALIZATION;

AVES; PASSERI;

ACOUSTIC STIMULATION; ACTION POTENTIALS; ALGORITHMS; ANIMALS; COCHLEA; COMPUTER SIMULATION; FINCHES; MODELS, NEUROLOGICAL; NEURAL PATHWAYS; NEURONS; SOUND SPECTROGRAPHY; SYNAPSES; TIME FACTORS; VOCALIZATION, ANIMAL;

EID: 84857131728     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0025506     Document Type: Article

References (57)

1. Waydo S, Kraskov A, Quian Quiroga R, Fried I, Koch C, (2006) Sparse Representation in the Human Medial Temporal Lobe. J Neurosci 26: 10232-10234.
2. Hochstein S, Ahissar M, (2002) View from the top- hierarchies and reverse hierarchies in the visual system. Neuron 36: 791-804(14).
3. Margoliash D, (1983) Acoustic parameters underlying the responses of song-specific neurons in the white-crowned sparrow. J Neurosci 3: 1039-1057.
4. Quiroga RQ, Reddy L, Kreiman G, Koch C, Fried I, (2005) Invariant visual representation by single neurons in the human brain. Nature 435: 1102-1107.
5. Olshausen BA, Field DJ, (2004) Sparse coding of sensory input. Curr Opin Neurobiol 14: 481-487.
6. Smith EC, Lewicki MS, (2006) Efficient auditory coding. Nature 439: 978-982.
7. Barlow HB, (1972) Single units and sensation: a neuron doctrine for perceptual psychology? Perception 1: 371-394.
8. Coleman MJ, Mooney R, (2004) Synaptic transformations underlying highly selective auditory representations of learned birdsong. J Neurosci 24: 7251-7265.
9. Bauer EE, Coleman MJ, Roberts TF, Roy A, Prather JF, et al. (2008) A synaptic basis for auditory-vocal integration in the songbird. J Neurosci 28: 1509-1522.
10. Olshausen BA, Field DJ, (1996) Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381: 607-609.
11. Mooney R, (2000) Different subthreshold mechanisms underlie song selectivity in identified HVc neurons of the zebra finch. J Neurosci 20: 5420-5436.
12. Weliky M, Kandler K, Fitzpatrick D, Katz LC, (1995) Patterns of excitation and inhibition evoked by horizontal connections in visual cortex share a common relationship to orientation columns. Neuron 15: 541-552.
13. Heiss JE, Katz Y, Ganmor E, Lampl I, (2008) Shift in the balance between excitation and inhibition during sensory adaptation of S1 neurons. J Neurosci 28: 13320-13330.
14. Moreau AW, Amar M, Le Roux N, Morel N, Fossier P, (2010) Serotoninergic fine-tuning of the excitation-inhibition balance in rat visual cortical networks. Cereb Cortex 20: 456-467.
15. Crist RE, Li W, Gilbert CD, (2001) Learning to see: experience and attention in primary visual cortex. Nat Neurosci 4: 519-525.
16. Vates G, Broome B, Mello C, Nottebohm F, (1996) Auditory pathways of caudal telencephalon and their relation to the song system of adult male zebra finches. J Comp Neurol 366: 613-642.
17. Nottebohm F, Kelley DB, Paton JA, (1982) Connections of vocal control nuclei in the canary telencephalon. J Comp Neurol 207: 344-357.
18. Brainard MS, Doupe AJ, (2000) Auditory feedback in learning and maintenance of vocal behaviour. Nat Rev Neurosci 1: 31-40.
19. Amin N, Grace JA, Theunissen FE, (2004) Neural response to birds own song and tutor song in the zebra finch field l and caudal mesopallium. J Comp Physiol [A] 190: 469-489.
20. Amin N, Doupe A, Theunissen FE, (2007) Development of selectivity for natural sounds in the songbird auditory forebrain. J Neurophysiol 97: 3517-3531.
21. Nick T, Konishi M, (2005) Neural auditory selectivity develops in parallel with song. J Neurobiol 62: 469-481.
22. Prather JF, Peters S, Nowicki S, Mooney R, (2008) Precise auditory-vocal mirroring in neurons for learned vocal communication. Nature 451: 305-310.
23. Sen K, Theunissen FE, Doupe AJ, (2001) Feature analysis of natural sounds in the songbird auditory forebrain. J Neurophysiol 86: 1445-1458.
24. Nagel K, Doupe A, (2008) Organizing principles of spectro-temporal encoding in the avian primary auditory area field L. Neuron 58: 938-955.
25. Woolley SM, Gill PR, Fremouw T, Theunissen FE, (2009) Functional groups in the avian auditory system. J Neurosci 29: 2780-2793.
26. Amin N, Gill P, Theunissen FE, (2010) Role of the zebra finch auditory thalamus in generating complex representations for natural sounds. J Neurophysiol 104: 784-798.
27. Tumer E, Brainard M, (2007) Performance variability enables adaptive plasticity of 'crystallized' adult birdsong. Nature 450: 1240-1244.
28. Andalman AS, Fee MS, (2009) A basal ganglia-forebrain circuit in the songbird biases motor output to avoid vocal errors. Proc Natl Acad Sci USA 106: 12518-12523.
29. Hromdka T, Deweese MR, Zador AM, (2008) Sparse representation of sounds in the unanesthetized auditory cortex. PLoS Biol 6 (1): e16.
30. Woolley SM, Hauber ME, Theunissen FE, (2010) Developmental experience alters information coding in auditory midbrain and forebrain neurons. Dev Neurobiol 70: 235-252.
31. Griffin D, Lim J, (1984) Signal estimation from modified short-time fourier transform. Acoustics, Speech and Signal Processing, IEEE Transactions on 32: 236-243.
32. Green DM, Swets JA, (1966) Signal Detection Theory and Psychophysics New York John Wiley & Sons Ltd.
33. Lewicki MS, Arthur BJ, (1996) Hierarchical Organization of Auditory Temporal Context Sensitivity. J Neurosci 16: 6987-6998.
34. Theunissen FE, Amin N, Shaevitz SS, Woolley SMN, Fremouw T, et al. (2004) Song Selectivity in the Song System and in the Auditory Forebrain. Ann NY Acad Sci 1016: 222-245.
35. Grace JA, Amin N, Singh NC, Theunissen FE, (2003) Selectivity for Conspecific Song in the Zebra Finch Auditory Forebrain. J Neurophysiol 89: 472-487.
36. Hyvrinen A, Oja E, (2000) Independent component analysis: algorithms and applications. Neural Netw 13: 411-430.
37. Bell AJ, Sejnowski TJ, (1995) Blind separation and blind deconvolution: an information-theoretic approach. Proc Internat Conf Acoust Speech Signal Process, Detroit 5: 3415-3418.
38. Hyvarinen A, Oja E, (1997) A Fast Fixed-Point Algorithm for Independent Component Analysis. Neural Comp 9: 1483-1492.
39. Hyvarinen A, (1999) Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neural Netw 10: 626-634.
40. Plumbley M, (2003) Algorithms for non-negative independent component analysis. IEEE Trans Neural Netw 14 (3): 534-543.
41. Hoyer PO, (2002) Non-negative sparse coding. Neural Networks for Signal Processing XII: 557-565.
42. Lee DD, Seung SH, (1999) Learning the parts of objects by non-negative matrix factorization. Nature 401: 788-791.
43. Margoliash D, (1986) Preference for autogenous song by auditory neurons in a song system nucleus of the white-crowned sparrow. J Neurosci 6: 1643-1661.
44. Gentner TQ, Margoliash D, (2003) Neuronal populations and single cells representing learned au ditory objects. Nature 424: 669-674.
45. Greene G, Barrett DG, Sen K, Houghton C, (2009) Sparse coding of birdsong and receptive field structure in songbirds. Network 20: 162-177.
46. Davison IG, Katz LC, (2007) Sparse and selective odor coding by mitral/tufted neurons in the main olfactory bulb. J Neurosci 27: 2091-2101.
47. Laurent G, (2002) Olfactory network dynamics and the coding of multidimensional signals. Nat Rev Neurosci 3: 884-895.
48. Perez-Orive J, Mazor O, Turner GC, Cassenaer S, Wilson RI, et al. (2002) Oscillations and spars ening of odor representations in the mushroom body. Science 297: 359-365.
49. Perez-Orive J, Bazhenov M, Laurent G, (2004) Intrinsic and circuit properties favor coincidence detection for decoding oscillatory input. J Neurosci 24: 6037-6047.
50. Rosen MJ, Mooney R, (2003) Inhibitory and excitatory mechanisms underlying auditory responses to learned vocalizations in the songbird nucleus HVC. Neuron 39: 177-194.
51. Aronov D, Andalman AS, Fee MS, (2008) A specialized forebrain circuit for vocal babbling in the juvenile songbird. Science 320: 630-634.
52. Bi G, Poo M, (1998) Synaptic modification in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. J Neurosci 18: 10464-10472.
53. Jun JK, Jin DZ, (2007) Development of neural circuitry for precise temporal sequences through spontaneous activity, axon remodeling, and synaptic plasticity. PLoS ONE 2: e723.
54. Fiete IR, Senn W, Wang CZ, Hahnloser RH, (2010) Spike-time-dependent plasticity and heterosy naptic competition organize networks to produce long scale-free sequences of neural activity. Neuron 65: 563-576.
55. D'Souza P, Liu SC, Hahnloser RH, (2010) Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity. Proc Natl Acad Sci USA 107: 4722-4727.
56. Theunissen FE, Sen K, Doupe AJ, (2000) Spectral-Temporal Receptive Fields of Nonlinear Auditory Neurons Obtained Using Natural Sounds. J Neurosci 20: 2315-2331.
57. Sharpee T, Bialek W, (2007) Neural decision boundaries for maximal information transmission. PLoS ONE 2: e646.