Neural coding of interaural time difference

The authors present several ideas relevant to the neural coding of interaural time difference for binaural sound localization. The nonhomogeneous Poisson point process is used to model neural activity in the auditory nerve. A simple paradigm is proposed for relating acoustic stimuli to the intensity function of the Poisson process. A coincidence model for place coding of timing information is described in this framework. Some examples are included followed by comments about future research.<<ETX>>

[1]  Bruno O. Shubert,et al.  Random variables and stochastic processes , 1979 .

[2]  M. Konishi,et al.  A circuit for detection of interaural time differences in the brain stem of the barn owl , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[3]  Q Bi A closed-form solution for removing the dead time effects from the poststimulus time histograms. , 1989, The Journal of the Acoustical Society of America.

[4]  L A JEFFRESS,et al.  A place theory of sound localization. , 1948, Journal of comparative and physiological psychology.

[5]  D. H. Johnson,et al.  The relationship between spike rate and synchrony in responses of auditory-nerve fibers to single tones. , 1980, The Journal of the Acoustical Society of America.

[6]  P. Gray Conditional probability analyses of the spike activity of single neurons. , 1967, Biophysical journal.

[7]  M. Miller,et al.  Algorithms for removing recovery-related distortion from auditory-nerve discharge patterns. , 1985, The Journal of the Acoustical Society of America.

[8]  Francesco Palmieri,et al.  Sound localization with a neural network trained with the multiple extended Kalman algorithm , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[9]  D H Johnson,et al.  The relationship of post-stimulus time and interval histograms to the timing characteristics of spike trains. , 1978, Biophysical journal.

[10]  D H Johnson,et al.  The transmission of signals by auditory-nerve fiber discharge patterns. , 1983, The Journal of the Acoustical Society of America.

[11]  Richard F. Lyon,et al.  An analog electronic cochlea , 1988, IEEE Trans. Acoust. Speech Signal Process..

[12]  Francesco Palmieri,et al.  An artificial neural network for studying binaural sound localization , 1991, Proceedings of the 1991 IEEE Seventeenth Annual Northeast Bioengineering Conference.

[13]  E M Burns,et al.  On the extraction of the signal-excitation function from a non-Poisson cochlear neural spike train. , 1985, The Journal of the Acoustical Society of America.

[14]  Francesco Palmieri,et al.  Learning binaural sound localization through a neural network , 1991, Proceedings of the 1991 IEEE Seventeenth Annual Northeast Bioengineering Conference.