Time and category information in pattern-based codes

Frontiers in Computational Neuroscience

Volumn 4, Issue , 2010, Pages

  Eyherabide, Hugo Gabriel ^a   Samengo, Inés ^a  

^a CENTRO ATÓMICO BARILOCHE   (Argentina)

Author keywords

Featureextractor; Information theory; Neural code; Patterns; Redundancy; Sensory encoding; Stimulus features; Synergy

Indexed keywords

FEATUREEXTRACTOR; NEURAL CODE; PATTERNS; STIMULUS FEATURES; SYNERGY; FEATURE EXTRACTOR;

MEDICAL COMPUTING; NEUROLOGY; REDUNDANCY;

INFORMATION THEORY;

ACCURACY; ARTICLE; AUDITORY STIMULATION; CONTROLLED STUDY; INTERMETHOD COMPARISON; LATENT PERIOD; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NERVE CONDUCTION; NERVE POTENTIAL; NEUROTRANSMISSION; POSTSYNAPTIC POTENTIAL; PROCESS MODEL; RESPONSE TIME; SPIKE WAVE; STIMULUS RESPONSE;

EID: 80052158442     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2010.00145     Document Type: Article

References (61)

1. Abeles, M., and Gat, I. (2001). Detecting precise firing sequences in experimental data. J. Neurosci. Methods 107, 141-154.
2. Alitto, H. J., Weyand, T. H., and Usrey, W. M. (2005). Distinct properties of stimulus-evoked bursts in the lateral geniculate nucleus. J. Neurosci. 25, 514-523.
3. Apostol, T. M. (1990). Modular Functions and Dirichlet Series in Number Theory, 2nd Edn. New York: Springer-Verlag.
4. Benda, J., Longtin, A., and Maler, L. (2005). Spike-frequency adaptation separates transient communication signals from background oscillations. J. Neurosci. 25, 2312-2321.
5. Borst, A., and Theunissen, F. E. (1999). Information theory and neural coding. Nat. Neurosci. 2, 947-957.
6. Brenner, N., Strong, S. P., Korbele, R., Bialek, W., and de van Ruyter S. R. R. (2000). Synergy in a neural code. Neural. Comput. 12, 1531-1552.
7. Brown, E. N., Kass, R. E., and Mitra, P. P. (2004). Multiple neural spike train data analysis: state-of-the-art and future challenges. Nat. Neurosci. 7, 456-461.
8. Chase, S. M., and Young, E. D. (2007). First-spike latency information in single neurons increases when referenced to population onset. Proc. Natl. Acad. Sci. U.S.A. 104, 5175-5180.
9. Cover, T. M., and Thomas, J. A. (1991). Elements of Information Theory. New York: Wiley.
10. Dan, Y., Alonso, J. M., Usrey, W. M., and Reid, R. C. (1998). Coding of visual information by precisely correlated spikes in the lateral geniculate nucleus. Nat. Neurosci. 1, 501-507.
11. Dayan, P., and Abbott, L. F. (2001). Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. Cambridge, MA: MIT Press.
12. DeBusk, B. C., DeBruyn, E. J., Snider, R. K., Kabara, J. F., and Bonds, A. B. (1997). Stimulus-dependent modulation of spike burst length in cat striate cortical cells. J. Neurophysiol. 78, 199-213.
13. Denning, K. S., and Reinagel, P. (2005). Visual control of bursts priming in the anesthetized lateral geniculate nucleus. J. Neurosci. 25, 3531-3538.
14. Eyherabide, H. G., Rokem, A., Herz, A. V. M., and Samengo, I. (2008). Burst firing is a neural code in an insect auditory system. Front. Comput. Neurosci. 2:3. doi: 10.3389/ neuro.10.003.2008.
15. Eyherabide, H. G., Rokem, A., Herz, A. V. M., and Samengo, I. (2009). Bursts generate a non-reducible spike pattern code. Front. Neurosci. 3:1. doi: 10.3389/ neuro.01.002.2009.
16. Eyherabide, H. G., and Samengo, I. (2010). The information transmitted by spike patterns in single neurons. J. Physiol. (Paris) 104, 147-155.
17. Fellous, J. M., Tiesinga, P. H. E., Thomas, P. J., and Sejnowski, T. J. (2004). Discovering spike patterns in neuronal responses. J. Neurosci. 24, 2989-3001.
18. Foffani, G., Morales, M. L., and Aguilar, J. (2009). Spike timing, spike count, and temporal information for the discrimination of tactile stimuli in the rat ventrobasal complex. J. Neurosci. 29, 5964-5973.
19. Furukawa, S., and Middlebrooks, J. C. (2002). Cortical representation of auditory space: information- bearing features of spike patterns. J. Neurophysiol. 87, 1749-1762.
20. Gaudry, K. S., and Reinagel, P. (2008). Information measure for analyzing specific spiking patterns and applications to lgn bursts. Netw. Comput. Neural Syst. 19, 69-94.
21. Gawne, T. J., Kjaer, T. W., and Richmond, B. J. (1996). Latency: Another potential code for feature binding in striate cortex. J. Neurophysiol. 76, 1356-1360.
22. Gawne, T. J., and Richmond, B. J. (1993). How independent are the messages carried by adjacent inferior temporal cortical neurons? J. Neurosci. 73, 2758-2771.
23. Gollisch, T., and Meister, M. (2008). Rapid neural coding in the retina with relative spike latencies. Science 319, 1108-1111.
24. Gütig, R., and Sompolinsky, H. (2006). The tempotron: a neuron that learns spike timing-based decisions. Nat. Neurosci. 9, 420-428.
25. Hopfield, J. J. (1995). Pattern recognition computation using action potential timing for stimulus representation. Nature 376, 33-36.
26. Krahe, R., and Gabbiani, F. (2004). Burst firing in sensory systems. Nat. Rev. Neurosci. 5, 13-23.
27. Krieghoff, V., Brass, M., Prinz, W., and Waszak, F. (2009). Dissociating what and when of intentional actions. Front. Hum. Neurosci. 3.
28. Lisman, J. E. (1997). Bursts as a unit of neural information: making unreliable synapses reliable. Trends Neurosci. 20, 38-43.
29. Luna, R., Hernández, A., Brody, C. D., and Romo, R. (2005). Neural codes for perceptual discrimination in primary somatosensory cortex. Nat. Neurosci. 8, 1210-1219.
30. Mackay, D. M., and McCulloc, W. S. (1952). The limiting information capacity of a neuronal link. Bull. Math. Biophys. 14, 127-135.
31. Mancuso, K., Hauswirth, W. W., Li, Q., Connor, T. B., Kuchenbecker, J. A., Mauck, M. C., Neitz, J., and Neitz, M. (2009). Gene therapy for red-green colour blindness in adult primates. Nature 461, 784-788.
32. Marsat, G., Proville, R. D., and Maler, L. (2009). Transient signals trigger synchronous bursts in an identified population of neurons. J. Neurophysiol. 102, 714-723.
33. Martinez-Conde, S., Macknik, S. L., and Hubel, D. H. (2000). Microsaccadic eye movements and firing of single cells in the striate cortex of macaque monkeys. Nat. Neurosci. 3, 251-258.
34. Martinez-Conde, S., Macknik, S. L., and Hubel, D. H. (2002). The function of bursts of spikes during visual fixation in the awake primate lateral geniculate nucleus and primary visual cortex. Proc. Natl. Acad. Sci. U.S.A. 99, 13920-13925.
35. Montemurro, M. A., Panzeri, S., Maravall, M., Alenda, A., Bale, M. R., Brambilla, M., and Petersen, R. S. (2007). Role of precise spike timing in coding of dynamic vibrissa stimuli. J. Neurophysiol. 98, 1871-1882.
36. Montemurro, M. A., Rasch, M. J., Murayama, Y., Logothetis, N. K., and Panzeri, S. (2008). Phase-of-firing coding of natural visual stimuli in primary visual cortex. Curr. Biol. 18, 375-380.
37. Nádasdy, Z. (2000). Spike sequences and their consequences. J. Physiol. (Paris) 94, 505-524.
38. Nelken, I. (2008). Processing of complex sounds in the auditory system. Curr. Opin. Neurobiol. 18, 413-417.
39. Nelken, I., and Chechik, G. (2007). Information theory in auditory research. Hear. Res. 229, 94-105.
40. Nelken, I., Chechik, G., Mrsic-Flogel, T. D., King, A. J., and Schnupp, J. W. H. (2005). Encoding stimulus information by spike numbers and mean response time in primary auditory cortex. J. Comput. Neurosci. 19, 199-221.
41. Nemenman, I., Bialek, W., and de van Ruyter S. R. R. (2004). Entropy and information in neural spike trains: Progress on the sampling problem. Phys. Rev. E 69, 056111.
42. Nirenberg, S., Carcieri, S. M., Jacobs, A. L., and Latham, P. E. (2001). Retinal ganglion cells act largely as independent decoders. Nature 411, 698-701.
43. Nirenberg, S., and Latham, P. E. (2003). Decoding neuronal spike trains: How important are correlations. Proc. Natl. Acad. Sci. U.S.A. 100, 7348-7353.
44. Oswald, A. M. M., Doiron, B., and Maler, L. (2007). Interval coding. I. burst interspike intervals as indicators of stimulus intensity. J. Neurophysiol. 97, 2731-2743.
45. Panzeri, S., Senatore, R., Montemurro, M. A., and Petersen, R. S. (2007). Correcting for the sampling bias problem in spike train information measures. J. Neurophysiol. 98, 1064-1072.
46. Petersen, R. S., Panzeri, S., and Diamond, M. E. (2002). The role of individual spikes and spike patterns in population coding of stimulus location in rat somatosensory cortex. BioSystems 67, 187-193.
47. Poulos, D. A., Mei, J., Horch, K. W., Tuckett, R. P., Wei, J. Y., Cornwall, M. C., and Burgess, P. R. (1984). The neural signal for the intensity of a tactile stimulus. J. Neurosci. 4, 2016-2024.
48. Reich, D. S., Mechler, F., Purpura, K. P., and Victor, J. D. (2000). Interspike intervals, receptive fields, and information encoding in primary visual cortex. J. Neurosci. 20, 1964-1974.
49. Reinagel, P., Godwin, D., Sherman, S. M., and Koch, C. (1999). Encoding of visual information by lgn bursts. J. Neurophysiol. 81, 2558-2569.
50. Reinagel, P., and Reid, R. C. (2000). Temporal coding of visual information in the thalamus. J. Neurosci. 20, 5392-5400.
51. Reinagel, P., and Reid, R. C. (2002). Precise firing events are conserved across neurons. J. Neurosci. 22, 6837-6841.
52. Rice, J. A. (1995). Mathematical Statistics and Data Analysis, 2nd Edn. Belmont, CA: Duxbury Press, Wadsworth Publishing Company.
53. Rokem, A., Watzl, S., Gollisch, T., Stemmler, M., Herz, A. V. M., and Samengo, I. (2006). Spike-timing precision underlies the coding efficiency of auditory receptor neurons. J. Neurophysiol. 95, 2541-2552.
54. Rolen, S. H., and Caprio, J. (2007). Processing of bile salt odor information by single olfactory bulb neurons in the channel catfish. J. Neurophysiol. 97, 4058-4068.
55. Sabourin, P., and Pollack, G. S. (2009). Behaviorally relevant burst coding in primary sensory neurons. J. Neurophysiol. 102, 1086-1091.
56. Schneidman, E., Bialek, W., and Berry, M. J. (2003). Synergy, redundancy, and independence in population codes. J. Neurosci. 23, 11539-11553.
57. Shannon, C. E. (1948). A mathematical theory of communication. Bell Syst. Tech. J. 27, 379-423.
58. Strong, S. P., Koberle, R., de van Ruyter S. R. R., and Bialek, W. (1998). Entropy and information in neural spike trains. Phys. Rev. Lett. 80, 197-200.
59. Theunissen, F., and Miller, J. P. (1995). Temporal encoding in nervous systems: a rigorous definition. J. Comput. Neurosci. 2, 149-162.
60. Tsujishita, T. (1995). On triple mutual information. Adv. Appl. Math. 16, 269-274.
61. Victor, J. D. (2002). Binless strategies for estimation of information in neural data. Phys. Rev. E 051903.