Spiking models for level-invariant encoding

Frontiers in Computational Neuroscience

Volumn , Issue JANUARY 2012, 2012, Pages

  Brette, Romain ^a,b  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b ECOLE NORMALE SUPÉRIEURE   (France)

Author keywords

Gain control; Interaural time difference; Sound localization; Spike timing; Spiking models

Indexed keywords

DYNAMIC CHANGES; ECOLOGICAL SOUNDS; FIRING RATES; FIXED THRESHOLD; INTERAURAL TIME DIFFERENCES; IONIC CHANNELS; LEVEL DIFFERENCE; MEMBRANE POTENTIALS; ORDERS OF MAGNITUDE; SOUND LOCALIZATION; SPIKE TIMING; SPIKING MODEL;

GAIN CONTROL; MEDICAL COMPUTING; NEUROLOGY;

BIRDS;

ACOUSTICS; ADAPTATION; ARTICLE; BASILAR MEMBRANE; CELL SYNCHRONIZATION; CONDUCTANCE; LONG TERM DEPRESSION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEMBRANE POTENTIAL; MOLECULAR DYNAMICS; NERVE CELL; NEUROSCIENCE; NORMAL DISTRIBUTION; PERIODICITY; REFRACTORY PERIOD; SOUND DETECTION; SPIKE;

EID: 84856802790     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2011.00063     Document Type: Article

References (48)

1. Agmon-Snir, H., Carr, C. E., and Rinzel, J. (1998). The role of dendrites in auditory coincidence detection. Nature 393,268-272.
2. Angelino, E., and Brenner, M. P. (2007). Excitability constraints on voltage- gated sodium channels. PLoS Comput. Biol. 3, e177. doi:10.1371/jour- nal.pcbi.0030177
3. Badel, L., Lefort, S., Brette, R., Petersen, C. H., Gerstner, W., and Richardson, M. J. E. (2008). Dynamic IV curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. J. Neurophysiol. 99, 656-666.
4. Brette, R. (2004). Dynamics of onedimensional spiking neuron models. J. Math. Biol. 48, 38-56.
5. Brette, R. (2008). The cauchy problem for one-dimensional spiking neuron models. Cogn. Neurodyn. 2, 21-27.
6. Brette, R., and Guigon, E. (2003). Reliability of spike timing is a general property of spiking model neurons. Neural Comput. 15, 279-308.
7. Carr, C., and Konishi, M. (1990). A circuit for detection of interaural time differences in the brain stem of the barn owl. J. Neurosci. 10, 3227-3246.
8. Carr, C. E., and Boudreau, R. E. (1991). Central projections of auditory nerve fibers in the barn owl. J. Comp. Neurol. 314, 306-318.
9. Carter, B. C., and Bean, B. P. (2009). Sodium entry during action potentials of mammalian central neurons: incomplete inactivation and reduced metabolic efficiency in fast-spiking neurons. Neuron 64, 898-909.
10. Cook, D. L., Schwindt, P. C., Grande, L. A., and Spain, W. J. (2003). Synaptic depression in the localization of sound. Nature 421, 66-70.
11. de Polavieja, G. G., Harsch, A., Kleppe, I., Robinson, H. P. C., and Juusola, M. (2005). Stimulus history reliably shapes action potential waveforms of cortical neurons. J. Neurosci. 25, 5657-5665.
12. Fleidervish, I.A., Friedman, A., and Gut- nick, M. J. (1996). Slowinactivation of na+ current and slow cumulative spike adaptation in mouse and guinea-pig neocortical neurones in slices. J. Physiol. (Lond.) 493(Pt 1), 83-97.
13. Fontaine, B., Goodman, D. F. M., Beni- choux, V., and Brette, R. (2011). Brian hears: online auditory processing using vectorization over channels. Front. Neuroinform. 5:9. doi:10.3389/fninf.2011.00009
14. Fourcaud, N., and Brunel, N. (2002). Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural Comput. 14,2057-2110.
15. Fourcaud-Trocme, N., Hansel, D., van Vreeswijk, C., and Brunel, N. (2003). How spike generation mechanisms determine the neuronal response to fluctuating inputs. J. Neurosci. 23, 11628-11640.
16. Fukui, I., Burger, R. M., Ohmori, H., and Rubel, E. W. (2010). GABAergic inhibition sharpens the frequency tuning and enhances phase locking in chicken nucleus magno- cellularis neurons. J. Neurosci. 30, 12075-12083.
17. Gerstner, W., and Kistler, W. M. (2002). Spiking Neuron Models. Cambridge: Cambridge University Press.
18. Goodman, D. F. M., and Brette, R. (2009). The brian simulator. Front. Neurosci. 3:192-197. doi:10.3389/neuro.01.026.2009
19. Greenwood, D. D., and Goldberg, J. M. (1970). Response of neurons in the cochlear nuclei to variations in noise bandwidth and to tone-noise combinations. J. Acoust. Soc. Am. 47, 1022-1040.
20. Gutfreund, Y., Yarom, Y., and Segev, I. (1995). Subthreshold oscillations and resonant frequency in guinea- pig cortical neurons: physiology and modelling. J. Physiol. (Lond.) 483(Pt 3), 621-640.
21. Howard, M. A., and Rubel, E. W. (2010). Dynamic spike thresholds during synaptic integration preserve and enhance temporal response properties in the avian cochlear nucleus. J. Neurosci. 30, 12063-12074.
22. Hu, W., Tian, C., Li, T., Yang, M., Hou, H., and Shu, Y. (2009). Distinct contributions of na(v)1.6 and na(v)1.2 in action potential initiation and backpropagation. Nat. Neurosci. 12, 996-1002.
23. Kim, K. J., and Rieke, F. (2003). Slow Na+ inactivation and variance adaptation in salamander retinal ganglion cells. J. Neurosci. 23, 1506-1516.
24. Koppl, C. (1997). Frequency tuning and spontaneous activity in the auditory nerve and cochlear nucleus magnocellularis of the barn owl tyto alba. J. Neurophysiol. 77, 364-377.
25. Koppl, C. (1997). Phase locking to high frequencies in the auditory nerve and cochlear nucleus magnocellu- laris of the barn owl, tyto alba. J. Neurosci. 17,3312-3321.
26. Koppl, C. (2011). Birds - same thing, but different? Convergent evolution in the avian and mammalian auditory systems provides informative comparative models. Hear. Res. 273, 65-71.
27. Kuenzel, T., Borst, J. G. G., and van der Heijden, M. (2011). Factors controlling the input-output relationship of spherical bushy cells in the ger- bil cochlear nucleus. J. Neurosci. 31, 4260-4273.
28. Liu, S., van Schaik, A., Minch, B., and Delbruck, T. (2010). "Event-Based 64-Channel binaural silicon cochlea with q enhancement mechanisms," in IEEE International Symposium on Circuits and Systems, Paris.
29. Louage, D. H. G., van der Heijden, M., and Joris, P. X. (2005). Enhanced temporal response properties of anteroventral cochlear nucleus neurons to broadband noise. J. Neurosci. 25, 1560-1570.
30. McCormick, D. A., Shu, Y., and Yu, Y. (2007). Neurophysiology: Hodgkin and Huxley model-still standing? Nature 445, E1-E2; discussion E2-E3.
31. McGinley, M. J., and Oertel, D. (2006). Rate thresholds determine the precision of temporal integration in principal cells of the ventral cochlear nucleus. Hear. Res. 216-217, 52-63.
32. Naundorf, B., Wolf, F., and Volgushev, M. (2006). Unique features of action potential initiation in cortical neurons. Nature 440, 1060-1063.
33. Palmer, L. M., and Stuart, G. J. (2006). Site of action potential initiation in layer 5 pyramidal neurons. J. Neurosci. 26,1854-1863.
34. Pena, J. L., Viete, S., Albeck, Y., and Konishi, M. (1996). Tolerance to sound intensity of binaural coincidence detection in the nucleus lam- inaris of the owl. J. Neurosci. 16, 7046-7054.
35. Platkiewicz, J., and Brette, R. (2010). A threshold equation for action potential initiation. PLoS Comput. Biol. 6, e1000850. doi:10.1371/jour- nal.pcbi.1000850
36. Platkiewicz, J., and Brette, R. (2011). Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration. PLoS Comput. Biol. 7, e1001129. doi:10.1371/journal.pcbi.1001129
37. Posch, C., Delbruck, T., and Lichtsteiner, P. (2008). A 128x128 120 dB 15 us latency asynchronous temporal contrast vision sensor. IEEE J. SolidState Circuits 43, 566-576.
38. Reyes, A., Rubel, E., and Spain, W. (1994). Membrane properties underlying the firing of neurons in the avian cochlear nucleus. J. Neu- rosci. 14, 5352-5364.
39. Robles, L., and Ruggero, M. A. (2001). Mechanics of the mammalian cochlea. Physiol. Rev. 81, 1305-1352.
40. Rossant, C., Goodman, D. F. M., Platkiewicz, J., and Brette, R. (2010). Automatic fitting of spiking neuron models to electrophysiological recordings. Front. Neuroinform. 4:2. doi:10.3389/neuro.11.002.2010
41. Shu, Y., Duque, A., Yu, Y., Haider, B., and McCormick, D. A. (2007). Properties of action-potential initiation in neocortical pyramidal cells: evidence from whole cell axon recordings. J. Neurophysiol. 97, 746-760.
42. Takahashi, T., Moiseff, A., and Kon- ishi, M. (1984). Time and intensity cues are processed independently in the auditory system of the owl. J. Neurosci. 4, 1781-1786.
43. Tsodyks, M. V., and Markram, H. (1997). The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc. Natl. Acad. Sci. U.S.A. 94,719-723.
44. Wang, Y., and Manis, P. B. (2008). Short-term synaptic depression and recovery at the mature mammalian endbulb of held synapse in mice. J. Neurophysiol. 100, 1255-1264.
45. Warchol, M., and Dallos, P. (1990). Neural coding in the chick cochlear nucleus. J. Comp. Physiol. A 166, 721-734.
46. Yin, T. C., Chan, J. C., and Irvine, R. (1986). Effects of interaural time delays of noise stimuli on low- frequency cells in the cat's inferior colliculus. i. Responses to wideband noise. J. Neurophysiol. 55, 280-300.
47. Yu, Y., Shu, Y., and McCormick, D. A. (2008). Cortical action potential backpropagation explains spike threshold variability and rapid- onset kinetics. J. Neurosci. 28, 7260-7272.
48. Zhang, S., and Trussell, L. O. (1994). Voltage clamp analysis of excitatory synaptic transmission in the avian nucleus magnocellularis. J. Physiol. (Lond.) 480(Pt 1), 123-136.