Attias H. (2000). A variational Bayesian framework for graphical models Advances in neural information processing systems. 12
Becker S, Haykin S, Bondy J, Bruce I, Dong R. (2003). Modeling intelligibility of hearing-aid compression circuits Proc. 37th Asilomar Conf. Signals, Systems, and Computers.
Becker S, Haykin S, Bondy J, Bruce I, Trainor L. (2004). A novel signal-processing strategy for hearing-aid design: Neurocompensation Signal Processing. 84
Becker S, Haykin S, Chen Z. (2003). Sampling-based ALOPEX algorithms for neural networks and optimization Tech Rep (Available online at http:--soma.crl.mcmaster.ca-~zhechen-download-alopex.ps).
Becker S, Haykin S, Chen Z. (2004). Stochastic correlative learning algorithms IEEE Trans Signal Process. 52
Bia A. (2001). Alopex-B: a new, simpler, but yet faster version of the alopex training algorithm. International journal of neural systems. 11 [PubMed]
Bruce IC, Becker S. (2002). Neural coding in the auditory periphery: Insights from physiology and modeling lead to a novel hearing compensation algorithm Workshop in Neural Information Coding.
Bruce IC, Sachs MB, Young ED. (2003). An auditory-periphery model of the effects of acoustic trauma on auditory nerve responses. The Journal of the Acoustical Society of America. 113 [PubMed]
Byrne D, Parkinson A, Newall P. (1990). Hearing aid gain and frequency response requirements for the severely/profoundly hearing impaired. Ear and hearing. 11 [PubMed]
Drullman R, Festen JM, Plomp R. (1994). Effect of reducing slow temporal modulations on speech reception. The Journal of the Acoustical Society of America. 95 [PubMed]
Duda RO, Hart PE, Stork DG. (2000). Pattern Classification (2nd edition).
Fishbach A, Yeshurun Y, Nelken I. (2003). Neural model for physiological responses to frequency and amplitude transitions uncovers topographical order in the auditory cortex. Journal of neurophysiology. 90 [PubMed]
Gupta S. (2004). Efficient testing of the Neurocompensator through the development of an unsupervised learning clustering algorithm and an adaptive psychometric function Bachelors Thesis.
Harth E, Tzanakou E. (1974). Alopex: a stochastic method for determining visual receptive fields. Vision research. 14 [PubMed]
Harth E, Unnikrishnan KP, Pandya AS. (1987). The inversion of sensory processing by feedback pathways: a model of visual cognitive functions. Science (New York, N.Y.). 237 [PubMed]
Moore BC, Huss M, Vickers DA, Glasberg BR, Alcántara JI. (2000). A test for the diagnosis of dead regions in the cochlea. British journal of audiology. 34 [PubMed]
Moore BC, Vickers DA, Plack CJ, Oxenham AJ. (1999). Inter-relationship between different psychoacoustic measures assumed to be related to the cochlear active mechanism. The Journal of the Acoustical Society of America. 106 [PubMed]
Nelson PC, Carney LH. (2004). A phenomenological model of peripheral and central neural responses to amplitude-modulated tones. The Journal of the Acoustical Society of America. 116 [PubMed]
Plack CJ, Oxenham AJ. (2000). Basilar-membrane nonlinearity estimated by pulsation threshold. The Journal of the Acoustical Society of America. 107 [PubMed]
Roberts SJ, Husmeier D, Rezek I, Penny W. (1998). Bayesian approaches to gaussian mixture modeling IEEE Trans Pattern Anal Mach Intell. 20
Schwartz O, Simoncelli E. (2001). Natural sound statistics and divisive normalization in the auditory system Advances in neural information processing systems. 13
Shamma SA, Wang K. (1995). Spectral shape analysis in the central auditory system IEEE Trans Speech Audio Process. 3
Shera CA, Guinan JJ, Oxenham AJ. (2002). Revised estimates of human cochlear tuning from otoacoustic and behavioral measurements. Proceedings of the National Academy of Sciences of the United States of America. 99 [PubMed]
Tzanakou E. (2000). Supervised and unsupervised pattern recognition: Feature extraction and computational intelligence.
Tzanakou E, Michalak R, Harth E. (1979). The Alopex process: visual receptive fields by response feedback. Biological cybernetics. 35 [PubMed]
Ueda N, Nakano R, Ghahramani Z, Hinton GE. (2000). SMEM algorithm for mixture models. Neural computation. 12 [PubMed]
Unnikrishnan KP, Sastry PS, Magesh M. (2002). Two timescale analysis of the Alopex algorithm for optimization Neural Comput. 14
Unnikrishnan KP, Venugopal KP. (1994). Alopex: A correlation-based learning algorithm for feedforward and recurrent neural networks Neural Comput. 6
Verbeek JJ, Vlassis N, Kröse B. (2003). Efficient greedy learning of gaussian mixture models. Neural computation. 15 [PubMed]