CURRICULUM VITAE Terrence J. Sejnowski - Psychology

31. Pouget, A. and Sejnowski, T. J., Spatial representations in the parietal cortex may usebasis functions, In: G. Tesauro, D. Touretzky and T. Leen (Eds.) Advances in NeuralInformation Processing Systems 7, MIT Press, Cambridge, MA, 157-164 (1995).32. Zemel, R. S. and Sejnowski, T. J., Grouping components of three-dimensional movingobjects in area MST of visual cortex, In: G. Tesauro, D. Touretzky and T. Leen (Eds.)Advances in Neural Information Processing Systems 7, MIT Press, Cambridge, MA, 165-172 (1995).33. Bell, A. J. and Sejnowski, T. J., A non-linear information maximization algorithm thatperforms blind separation, In: G. Tesauro, D. Touretzky and T. Leen (Eds.) Advancesin Neural Information Processing Systems 7, MIT Press, Cambridge, MA, 467-474(1995).34 Stensmo, M. and Sejnowski, T. J., A mixture model system for medical and machinediagnosis, In: G. Tesauro, D. Touretzky and T. Leen (Eds.) Advances in NeuralInformation Processing Systems 7, MIT Press, Cambridge, MA, 1077-1084 (1995).35. Sejnowski, T. J., Dayan, P. and Montague, P. R., Predictive Hebbian learning, 8th ACMConference on Computational Learning Theory (COLT), Santa Cruz, 15-18 (1995).36. Goodhill, G. J., Finch, S. and Sejnowski, T. J., A unifying measure for neighbourhoodpreservation in topographic mappings, Proceedings of the 2nd Joint Symposium onNeural Computation, University of California, San Diego and California Institute ofTechnology Institute for Neural Computation, La Jolla, CA, 191-202 (1995).37. Coenen, O. and Sejnowski, T. J., A dynamical model of context dependencies for thevestibulo-ocular reflex, Proceedings of the 2nd Joint Symposium on NeuralComputation, University of California, San Diego and California Institute of Technology,Institute for Neural Computation, La Jolla, CA, 142-151 (1995).38. Stensmo, M. and Sejnowski, T. J., Using temporal-difference reinforcement learning toimprove decision-theoretic utilities for diagnosis, Proceedings of the 2nd JointSymposium on Neural Computation, University of California, San Diego and CaliforniaInstitute of Technology, Institute for Neural Computation, La Jolla, CA, 9-16 (1995).39. Viola, P., Schraudolph, N. N., and Sejnowski T. J., Empirical entropy manipulation andanalysis, Proceedings of the 2nd Joint Symposium on Neural Computation, University ofCalifornia, San Diego and California Institute of Technology, Institute for NeuralComputation, La Jolla, CA, 203-211 (1995).40. Bell, A. J., and Sejnowski, T. J., Fast blind separation based on information theory,Proceedings 1995 International Symposium on Non-linear Theory and Applications, LasVegas, NV, 1:43-47 (1995).41. Makeig, S., Jung, T-P., and Sejnowski, T. J., Using feedforward neural networks tomonitor alertness from changes in EEG correlation and coherence, In: D. Touretzky, M.Mozer and M. Hasselmo (Eds.) Advances in Neural Information Processing Systems 8,MIT Press, Cambridge, MA. 931-937 (1996).