References
- Baddeley R, et al. Responses of neurons in primary and inferior temporal visual cortices to natural scenes. Proc. R. Soc. Lond. B 1997; 264: 1775–83
- Bair W, Koch C. Temporal precision of spike trains in extrastriate cortex of the behaving macaque monkey. Neural Comput. 1996; 8: 1185–202
- Baker C L, Jr, et al. Optimal spatial displacement for direction selectivity in cat visual cortex neurons. Vis. Res. 1991; 31: 1659–68
- Barbieri R, et al. Construction and analysis of non-Poisson stimulus-response models of neural spiking activity. J. Neurosci. Methods 2001; 105: 25–37
- Borst A. Noise, not stimulus entropy, determines neural information rate. J. Comput. Neurosci. 2003; 14: 23–31
- Borst A, Haag J. Effects of mean firing on neural information rate. J. Comput. Neurosci. 2001; 10: 213–21
- Borst A, Theunissen F E. Information theory and neural coding. Nat. Neurosci. 1999; 2: 947–57
- Brillinger D R. Time Series: Data Analysis and Theory. Holt, Rinehart and Winston, New York 1975
- Dan Y, et al. Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory. J. Neurosci. 1996; 16: 3351–62
- de Ruyter van Steveninck R R, et al. Reproducibility and variability in neural spike trains. Science 1997; 275: 1805–8
- Eggermont J J, et al. Quantitative characterisation procedure for auditory neurons based on the spectro-temporal receptive field. Heart Res. 1983; 10: 167–90
- Gabbiani F. Coding of time-varying signals in spike trains of linear and half-wave rectifying neurons. Network 1996; 7: 61–85
- Haag J, Borst A. Encoding of visual motion information and reliability in spiking and graded potential neurons. J. Neurosci. 1997; 17: 4809–19
- Johnson D H. Point process models of single-neuron discharges. J. Comput. Neurosci. 1996; 3: 275–99
- Kara P, Reinagel P, Reid R C. Low response variability in simultaneously recorded retinal, thalamic, and cortical neurons. Neuron 2000; 27: 635–46
- Lau B, Stanley G B, Dan Y. Computational subunits of visual cortical neurons revealed by artificial neural networks. Proc. Natl Acad. Sci. USA 2002; 99: 8974–9
- Lestienne R. Spike timing, synchronization and information processing on the sensory side of the central nervous system. Prog. Neurobiol. 2001; 65: 545–91
- Lewen G D, et al. Neural coding of naturalistic motion stimuli. Network 2001; 12: 317–29
- Marmeralis P, Marmeralis V. Analysis of Physiological Systems. The White Noise Approach. Plenum, New York 1978
- Oram M W, et al. Stochastic nature of precisely timed spike patterns in visual system neuronal responses. J. Neurophysiol. 1999; 81: 3021–33
- Reinagel P, Reid R C. Temporal coding of visual information in the thalamus. J. Neurosci. 2000; 20: 5392–400
- Sahani M, Linden J F. How linear are auditory cortical responses. NIPS 2002, Proc.. 2002, at press
- Shadlen M N, Newsome W T. The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J. Neurosci. 1998; 18: 3870–96
- Shannon C E, Weaver W. The Mathematical Theory of Communication. University of Illinois Press, Chicago, IL 1963
- Strong S P, et al. Entropy and information in neural spike trains. Phys. Rev. Lett. 1998; 80: 197–200
- Svirskis G, Rinzel J. Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons. Biophys. J. 2000; 79: 629–37
- Theunissen F, Miller J P. Temporal encoding in nervous systems: a rigorous definition. J. Comput. Neurosci. 1995; 2: 149–62
- Theunissen F E, et al. Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds. J. Neurosci. 2000; 20: 2315–31
- Theunissen F E, et al. Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli. Network 2001; 12: 1–28
- Thomson D, Chave A. Jackknifed error estimates for spectra, coherences, and transfer functions. Advances in Spectrum Analysis and Array Processing, S Haykin. Prentice-Hall, Englewood Clifs, NJ 1991
- Victor J D, Knight B W. Nonlinear analysis with an arbitrary stimulus ensemble. Q. Appl. Math. 1979; 37: 112–36
- Wehr M, Laurent G. Odour encoding by temporal sequences of firing in oscillating neural assemblies. Nature 1996; 384: 162–6