References
- Adelson E H, Bergen J R. Spatiotemporal energy models for the perception of motion. J Opt Soc Am A 1985; 2: 284–299, [INFOTRIEVE], [CSA]
- Aldworth Z N, Miller J P, Gedeon T, Cummins G I, Dimitrov A G. Dejittered spike-conditioned stimulus waveforms yield improved estimates of neuronal feature selectivity and spike-timing precision of sensory interneurons. J Neurosci 2005; 25: 5323–5332, [INFOTRIEVE], [CROSSREF], [CSA]
- Aguera y, Arcas B, Fairhall A L. What causes a neuron to spike?. Neural Comput 2003; 15: 1789–1807, [CROSSREF], [CSA]
- Berry M J, Warland D K, Meister M. The structure and precision of retinal spike trains. Proc Natl Acad Sci USA 1997; 94: 5411–5416, [INFOTRIEVE], [CROSSREF], [CSA]
- de Boer E, de Jongh H R. On cochlear encoding: Potentialities and limitations of the reverse-correlation technique. J Acoust Soc Am 1978; 63: 115–135, [INFOTRIEVE], [CROSSREF], [CSA]
- de Boer E, Kuyper P. Triggered correlation. IEEE Trans Biomed Eng 1968; 15: 169–179, [INFOTRIEVE], [CSA]
- Chang T R, Chung P C, Chiu T W, Poon P W. A new method for adjusting neural response jitter in the STRF obtained by spike-trigger averaging. Biosystems 2005; 79: 213–222, [INFOTRIEVE], [CROSSREF], [CSA]
- Chichilnisky E J. A simple white noise analysis of neuronal light responses. Network 2001; 12: 199–213, [INFOTRIEVE], [CSA]
- Dayan P, Abbott L F. Theoretical neuroscience: Computation and mathematical modeling of neural systems. MIT Press, Cambridge, MA 2001
- deCharms R C, Blake D T, Merzenich M M. Optimizing sound features for cortical neurons. Science 1998; 280: 1439–1443, [INFOTRIEVE], [CROSSREF], [CSA]
- Dempster A, Laird N, Rubin D. Maximum likelihood from incomplete data via the EM algorithm. J Royal Stat Soc 1977; 39: 1–38, [CSA]
- Dimitrov A G, Gedeon T. Effects of stimulus transformations on estimates of sensory neuron selectivity. J Comput Neurosci 2006, in press[CSA]
- Eggermont J J, Aertsen A M, Johannesma P I. Prediction of the responses of auditory neurons in the midbrain of the grass frog based on the spectro-temporal receptive field. Hear Res 1983; 10: 191–202, [INFOTRIEVE], [CROSSREF], [CSA]
- Fritz J, Shamma S, Elhilali M, Klein D. Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex. Nat Neurosci 2003; 6: 1216–1223, [INFOTRIEVE], [CROSSREF], [CSA]
- Gerstner W, Kistler W M. Spiking neuron models. Cambridge University Press, Cambridge, UK 2002
- Gollisch T, Herz A VM. Input-driven components of spike-frequency adaptation can be unmasked in vivo. J Neurosci 2004; 24: 7435–7444, [INFOTRIEVE], [CROSSREF], [CSA]
- Gollisch T, Herz A VM. Disentangling sub-millisecond processes within an auditory transduction chain. PLoS Biol 2005; 3: e8, [INFOTRIEVE], [CROSSREF], [CSA]
- Gollisch T, Schütze H, Benda J, Herz A VM. Energy integration describes sound-intensity coding in an insect auditory system. J Neurosci 2002; 22: 10434–10448, [INFOTRIEVE], [CSA]
- Gutkin B S, Ermentrout G B. Dynamics of membrane excitability determine interspike interval variability: A link between spike generation mechanisms and cortical spike train statistics. Neural Comput 1998; 10: 1047–1065, [INFOTRIEVE], [CROSSREF], [CSA]
- Gutkin B S, Ermentrout G B, Reyes A. Phase response curves determine the responses of neurons to transient inputs. J Neurophysiol 2005; 94: 1623–1635, [INFOTRIEVE], [CROSSREF], [CSA]
- Blind deconvolution, S Haykin. Prentice-Hall, Englewood Cliffs, NJ 1994
- Heil P, Neubauer H. Temporal integration of sound pressure determines thresholds of auditory-nerve fibers. J Neurosci 2001; 21: 7404–7415, [INFOTRIEVE], [CSA]
- Heil P, Neubauer H. A unifying basis of auditory thresholds based on temporal summation. Proc Natl Acad Sci USA 2003; 100: 6151–6156, [INFOTRIEVE], [CROSSREF], [CSA]
- Hubel D H, Wiesel T N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J Physiol 1962; 160: 106–154, [INFOTRIEVE], [CSA]
- Hunter I W, Korenberg M J. The identification of nonlinear biological systems: Wiener and Hammerstein cascade models. Biol Cybern 1986; 55: 135–144, [INFOTRIEVE], [CSA]
- Keat J, Reinagel P, Reid R C, Meister M. Predicting every spike: A model for the responses of visual neurons. Neuron 2001; 30: 803–817, [INFOTRIEVE], [CROSSREF], [CSA]
- Kim P J, Young E D. Comparative analysis of spectro-temporal receptive fields, reverse correlation functions, and frequency tuning curves of auditory-nerve fibers. J Acoust Soc Am 1994; 95: 410–422, [INFOTRIEVE], [CROSSREF], [CSA]
- Korenberg M J, Hunter I W. The identification of nonlinear biological systems: LNL cascade models. Biol Cybern 1986; 55: 125–134, [INFOTRIEVE], [CSA]
- Kuffler S W. Discharge patterns and functional organization of mammalian retina. J Neurophysiol 1953; 16: 37–68, [INFOTRIEVE], [CSA]
- Kuriščàk E, Trojan S, Wünsch Z. Model of spike propagation reliability along the myelinated axon corrupted by axonal intrinsic noise sources. Physiol Res 2002; 51: 205–215, [CSA]
- Lestienne R. Spike timing, synchronization and information processing on the sensory side of the central nervous system. Prog Neurobiol 2001; 65: 545–591, [INFOTRIEVE], [CROSSREF], [CSA]
- Lewis E R, van Dijk P. New variations on the derivation of spectro-temporal receptive fields for primary auditory afferent axons. Hear Res 2004; 189: 120–136, [INFOTRIEVE], [CROSSREF], [CSA]
- Linden J F, Liu R C, Sahani M, Schreiner C E, Merzenich M M. Spectrotemporal structure of receptive fields in areas A1 and AAF of mouse auditory cortex. J Neurophysiol 2003; 90: 2660–2675, [INFOTRIEVE], [CROSSREF], [CSA]
- Liu R C, Tzonev S, Rebrik S, Miller K D. Variability and information in a neural code of the cat lateral geniculate nucleus. J Neurophysiol 2001; 86: 2789–2806, [INFOTRIEVE], [CSA]
- Machens C K, Wehr M S, Zador A M. Linearity of cortical receptive fields measured with natural sounds. J Neurosci 2004; 24: 1089–1100, [INFOTRIEVE], [CROSSREF], [CSA]
- Meister M, Berry M J. The neural code of the retina. Neuron 1999; 22: 435–450, [INFOTRIEVE], [CROSSREF], [CSA]
- Miller M I, Mark K E. A statistical study of cochlear nerve discharge patterns in response to complex speech stimuli. J Acoust Soc Am 1992; 92: 202–209, [INFOTRIEVE], [CROSSREF], [CSA]
- Moradmand K, Goldfinger M D. Computation of long-distance propagation of impulses elicited by Poisson-process stimulation. J Neurophysiol 1995; 74: 2415–2426, [INFOTRIEVE], [CSA]
- Nelken I, Kim P J, Young E D. Linear and nonlinear spectral integration in type IV neurons of the dorsal cochlear nucleus. II. Predicting responses with the use of nonlinear models. J Neurophysiol 1997; 78: 800–811, [INFOTRIEVE], [CSA]
- Palmer A R, Russell I J. Phase-locking in the cochlear nerve of the guinea-pig and its relation to the receptor potential of inner hair-cells. Hear Res 1986; 24: 1–15, [INFOTRIEVE], [CROSSREF], [CSA]
- Paninski L. Convergence properties of three spike-triggered analysis techniques. Network 2003; 14: 437–464, [INFOTRIEVE], [CSA]
- Paninski L. Maximum likelihood estimation of cascade point-process neural encoding models. Network 2004; 15: 243–262, [INFOTRIEVE], [CSA]
- Paninski L, Pillow J W, Simoncelli E P. Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural Comput 2004; 16: 2533–2561, [INFOTRIEVE], [CROSSREF], [CSA]
- Pillow J W, Paninski L, Uzzell V J, Simoncelli E P, Chichilnisky E J. Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. J Neurosci 2005; 25: 11003–11013, [INFOTRIEVE], [CROSSREF], [CSA]
- Pillow J W, Simoncelli E P. Biases in white noise analysis due to non-Poisson spike generation. Neurocomputing 2003; 52: 109–115, [CROSSREF], [CSA]
- Reich D S, Mechler F, Purpura K P, Victor J D. Interspike intervals, receptive fields, and information encoding in primary visual cortex. J Neurosci 2000; 20: 1964–1974, [INFOTRIEVE], [CSA]
- Reinagel P, Reid R C. Temporal coding of visual information in the thalamus. J Neurosci 2000; 20: 5392–5400, [INFOTRIEVE], [CSA]
- Sahani M, Linden J F. Evidence optimization techniques for estimating stimulus-response functions. Adv Neural Information Proc Systems 2003; 15: 301–308, [CSA]
- Schaette R, Gollisch T, Herz A VM. Spike-train variability of auditory neurons in vivo: Dynamic responses follow predictions from constant stimuli. J Neurophysiol 2005; 93: 3270–3281, [INFOTRIEVE], [CROSSREF], [CSA]
- Schneidman E, Freedman B, Segev I. Ion channel stochasticity may be critical in determining the reliability and precision of spike timing. Neural Comput 1998; 10: 1679–1703, [INFOTRIEVE], [CROSSREF], [CSA]
- Schreiber S, Fellous J-M, Tiesinga P, Sejnowski T J. Influence of ionic conductances on spike timing reliability of cortical neurons for suprathreshold rhythmic inputs. J Neurophysiol 2004; 91: 194–205, [INFOTRIEVE], [CROSSREF], [CSA]
- Schwartz O, Chichilnisky E J, Simoncelli E P. Characterizing neural gain control using spike triggered covariance. Adv Neural Information Proc Systems 2002; 14: 269–276, [CSA]
- Sen K, Theunissen F E, Doupe A J. Feature analysis of natural sounds in the songbird auditory forebrain. J Neurophysiol 2001; 86: 1445–1458, [INFOTRIEVE], [CSA]
- Shadlen M N, Newsome W T. The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding. J Neurosci 1998; 18: 3870–3896, [INFOTRIEVE], [CSA]
- Sharpee T, Rust N C, Bialek W. Analyzing neural responses to natural signals: Maximally informative dimensions. Neural Comput 2004; 16: 223–250, [INFOTRIEVE], [CSA]
- Simoncelli E P, Pillow J W, Paninski L, Schwartz O. Characterization of neural responses with stochastic stimuli. The Cognitive Neurosciences, 3rd edition, M S Gazzaniga. MIT Press, Cambridge, MA 2004
- de Ruyter van Steveninck R, Bialek W. Coding and information transfer in short spike sequences. Proc Soc Lond B Biol Sci 1988; 234: 379–414, [CSA]
- Theunissen F E, David S V, Singh N C, Hsu A, Vinje W E, Gallant J L. Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli. Network 2001; 12: 289–316, [INFOTRIEVE], [CSA]
- Theunissen F E, Sen K, Doupe A J. Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds. J Neurosci 2000; 20: 2315–2331, [INFOTRIEVE], [CSA]
- Touryan J, Felsen G, Dan Y. Spatial structure of complex cell receptive fields measured with natural images. Neuron 2005; 45: 781–791, [INFOTRIEVE], [CROSSREF], [CSA]
- Touryan J, Lau B, Dan Y. Isolation of relevant visual features from random stimuli for cortical complex cells. J Neurosci 2002; 15: 10811–10818, [CSA]