Tech Reports INC Tech Reports   (Some of these reports may be downloaded from the INC Technical Report FTP site.) NEW 05.01.pdf Robert Hecht-Nielsen, Confabulation Theory 04.04.pdf Robert Hecht-Nielsen, ATheory Of Cortex 04.03.pdf Robert Hecht-Nielsen, Perceptrons 04.02.pdf ...Context Exploitation in Natural Language Processing, Means et al. 04.01.pdf Robert Hecht-Nielsen, ATheory Of Cortex SCCN Tech Reports SCCN-04-01.pdf Arthur Flexer and Scott Makeig "Correlation of Subjective Expectation and P300 Amplitude during a Game of Matching Pennies" CNL Tech Reports Makeig, S., Jung, T.-P., Ghahremani, D., and Sejnowski, T. J., Independent component analysis of simulated ERP data, Institute for Neural Computation Technical Report Series, No. INC-9606, October. Goodhill, G. J., Finch, S., and Sejnowski, T. J., Quantifying neighbourhood preservation in topographic mappings, Institute for Neural Computation Technical Report Series, No. INC-9505, November. View Abstract fd Download Casey, M. (1995) Relaxing the symmetric weight condition for convergent dynamics in discrete-time recurrent networks. Institute for Neural Computation Technical Report Series, No. INC-9504, April. Casey, M. (1995) How recurrent neural networks work. Institute for Neural Computation Technical Report Series, No. INC-9503, April. Bell, A. J., Mainen, Z. F., Tsodyks, M. and Sejnowski, T. J., (1995) 'Balancing' of conductances may explain irregular cortical spiking, Institute for Neural Computation Technical Report Series, No. INC-9502, February. View Abstract xx Download Bell, A.J. and Sejnowski, T.J. (1995) An information maximization approach to blind separation and blind deconvolution. Institute for Neural Computation Technical Report Series, No. INC-9501, February Stensmo, M. and Sejnowski, T. J., (1994) A mixture model diagnosis system, Institute for Neural Computation Technical Report Series, No. INC-9401, December. View Abstract xx Download Destexhe, A., Contreras, D., Sejnowski, T.J., and Steriade, M. (1993) A model of spindle rhythmicity in the isolated thalamic reticular nucleus. Institute for Neural Computation Technical Report Series, No. INC-9308, November. Shagrir, O. (1993) Two dogmas of computationalism. Institute for Neural Computation Technical Report Series, No. INC-9307, November. DeMers, D. and Kreutz-Delgado, K. (1993) Canonical parameterization of excess motor degrees of freedom. Institute for Neural Computation Technical Report Series, no. INC- 9306, October. DeMers, D. and Kreutz-Delgado, K. (1993) Learning global properties of nonredundant kinematic mappings. Institute for Neural Computation Technical Report Series, No. INC- 9305, August. Li, S. and Sejnowski, T.J. (1993) Adaptive separation of mixed broadband sound sources with delays by a beamforming Hérault-Jutten network. Institute for Neural Computation Technical Report Series, No. INC-9304, April. Gray, M.S., Lawrence, D.T., Golumb, B.A., and Sejnowski, T.J. (1993) A perceptron reveals the face of sex. Institute for Neural Computation Technical Report Series, No. INC-9303, April. Plutowski, M. and White, H. (1993) Selecting concise training sets from clean data. Institute for Neural Computation Technical Report Series, No. INC-9302, January. Plutowski, M., Cottrell, G., and White, H. (1993) Learning Mackey-Glass from 25 examples, plus or minus 2. Institute for Neural Computation Technical Report Series, No. INC-9301, January. Sin, C-Y. and White, H. (1992) Information criteria for selecting possibly misspecified parametric models. Institute for Neural Computation Technical Report Series, No. INC-9213, December. Kuan, C-M. and White, H. (1992) Artificial neural networks: An econometric perspective. Institute for Neural Computation Technical Report Series, No. INC-9212, December. Stinchcombe, M. and White, H. (1992) Using feedforward networks to distinguish multivariate populations. Institute for Neural Computation Technical Report Series, No. INC-9211, December. Chen, X. and White, H. (1992) Weak and strong laws of large numbers for Hilbert Space- Valued Mixinggales. Institute for Neural Computation Technical Report Series, No. INC-9210, December. Swanson, N.R. and White, H. (1992) A model selection approach to assessing the information in the term structure using linear models and artificial neural networks. Institute for Neural Computation Technical Report Series, No. INC-9209, December. Chen, X. and White, H. (1992) Central limit and functional central limit theorems for Hilbert Space-Valued dependent processes. Institute for Neural Computation Technical Report Series, No. INC-9208, December. Corradi, V. and White, H. (1992) Regularized neural networks: Some convergence rate results. Institute for Neural Computation Technical Report Series, No. INC-9207, December. Chen, X. and White, H. (1992) Asymptotic properties of some projection-based Robbins- Monro Procedures in the Hilbert Space. Institute for Neural Computation Technical Report Series, No. INC-9206, December. White, H. (1992) Parametric statistical estimation with artificial neural networks. Institute for Neural Computation Technical Report Series, No. INC-9205, December. Kurkova, V. and Hecht-Nielsen, R. (1992) Quasiorthogonal sets. Institute for Neural Computation Technical Report Series, No. INC-9204, April. Chen, A.M., Lu, H.-M., and Hecht-Nielsen, R. (1992) On the geometry of feedforward neural network weight spaces. Institute for Neural Computation Technical Report Series, No. INC-9203, March. Goldbaum, M.H., Sample, P.A., White, H., Coté, B., and Weinreb, R. (1992) Interpretation of automated perimetry for glaucoma by neural network. Institute for Neural Computation Technical Report Series, No. INC-9202, March. Lisberger, S.G. and Sejnowski, T.J. (1992) Computational analysis suggests a new hypothesis for motor learning in the vestibulo-ocular reflex. Institute for Neural Computation Technical Report Series, No. INC-9201, February. Machine Perception Lab Tech Reports 2002.02.pdf Holger Quast Automatic Recognition of Nonverbal Speech INC MPLab TR 2002.02, June 28, 2002. 2002.01.pdf Javier R. Movellan and John, S. Watson The Development of Gaze Following as a Bayesian Systems Identification Problem INC MPLab TR 2002.01, Januray 29, 2002. 2001.08.pdf Marian S. Bartlett, Bjorn Braathen, Gwen Littlewort-Ford, John Hershey, Ian Fasel, Tim Marks, Evan Smith, Terrence Sejnowski and Javier R. Movellan Automatic Analysis of of Spontaneous Facial Behavior: A Final Project Report UCSD MPLab TR 2001.08, October 31, 2001. 2001.07.pdf Bjorn Braathen, Marian S. Bartlett, Gwen Littlewort, Javier R. Movellan First Steps Towards Automatic Recognition of Spontaneous Facial Action Units UCSD MPLab TR 2001.07, June 2001. 2001.06.pdf Evan C. Smith A SNoW-Based Automatic Facial Feature Detector UCSD MPLab TR 2001.07, June 2001. 2001.05.ps Bjorn Braathen and Marian S. Bartlett and Gwen Littlewort-Ford and Javier R. Movellan 3-D head pose estimation from video by nonlinear stochastic particle filtering UCSD MPLab TR 2001.05, June 2001. 2001.04.ps Ian R. Fasel and Marian S. Bartlett and Javier R. Movellan. A Comparison of Gabor Filter Methods for Automatic Detection of Facial Landmarks UCSD MPLab TR 2001.04, June 2001. 2001.03.ps Ian R. Fasel and Javier R. Movellan. Meta Analysis of Neurally Inspired Face Detection Algorithms UCSD MPLab TR 2001.03, June 2001. 2001.02.ps Tim K. Marks and Javier R. Movellan Diffusion Networks, Products of Experts, and Factor Analysis UCSD MPLab TR 2001.02, June 2001. 2001.01.ps J. R. Movellan and T. Wachtler and T. D. and Albright and T. Sejnowski A New Form of Separability for the Study of Information Integration in the Brain UCSD MPLab TR 2001.01, June 2001. 2000.03.ps Jonathan D. Nelson and Javier R. Movellan. Active Inference in Concept Induction UCSD MPLab TR 2000.03, July 2000. 2000.02.ps Boris E. Shpungin and Javier R. Movellan. A Multi-Threaded Approach to Real Time Face Tracking. UCSD MPLab TR 2000.02, July 2000. Face Tracker Demo (Real Video) 2000.01.ps Javier R. Movellan and James L. McClelland. The Morton-Massaro Law of Information Integration: Implications for Models of Perception. UCSD MPLab TR 2000.01, May 2000. 1999.01.ps Javier R. Movellan and Paul Mineiro and R. J. Williams. Modeling Path Distributions Using Partially Observable Diffusion Networks: A Monte-Carlo Approach. UCSD MPLab TR 1999.01, June 1999.