CNL Publication Index: BibTeX
This database contains all the publications of Terrence J. Sejnowski starting in 1969.
Most of these publications can be downloaded in PDF format. They are made available for individual use only; contact the publisher and the author to receive permission for reproduction in any form.
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Found 9
Articles
Found 5
Refereed Conference Proceedings
Found 3
Book Chapters
Found 4
Abstracts
Found
21 Total.
- Schwartz, O. Sejnowski, T. J. Dayan, P. Perceptual Organization in the Tilt Illusion, Journal of Vision, 9(4):19, 1-20, 2009 PMCID:PMC2852324 (PDF)
- Schwartz, O. Sejnowski, T. J. Dayan, P. Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics, Neural Computation, 18, 2680-2718, 2006 (PDF)
- Schwartz, O. Sejnowski, T. J. Dayan, P. A Bayesian framework for tilt perception and confidence, Advances in Neural Information Processing Systems, 7, 1201–1208, 2005 (PDF)
- Montague, P. R. Dayan, P. Sejnowski, T. J. A Framework for Mesencephalic Dopamine Systems Based on Predictive Hebbian Learning, Journal of Neuroscience, 16(5), 1936-1947, 1996 (PDF)
- Dayan, P. Sejnowski, T. J. Exploration Bonuses and Dual Control, Machine Learning, 25(1), 1996 (PDF)
- Montague, P. R. Dayan, P. Person, C. Sejnowski, T. J. Bee Foraging in Uncertain Environments Using Predictive Hebbian Learning, Nature, 377, 725-728, 1995 (PDF)
- Dayan, P. Sejnowski, T. J. TD(lambda) Converges With Probability 1, Machine Learning, 14, 295-301, 1994 (PDF)
- Berns, G. S. Dayan, P. Sejnowski, T. J. A Correlational Model for the Development of Disparity Selectivity in Visual Cortex That Depends on Prenatal and Postnatal Phases, Proceedings of the National Academy of Sciences of the United States of America, 90, 8277-8281, 1993 (PDF)
- Dayan, P. Sejnowski, T. J. The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning, Neural Computation, 5, 205-209, 1993 (PDF)
- Schwartz, O. Sejnowski, T. J. Dayan, P. Assignment of Multiplicative Mixtures in Natural Images, Advances in Neural Information Processing Systems, 17, 1217-1224, 2005
- Sejnowski, T. J. Dayan, P. Montague, P. R. Predictive Hebbian Learning, 8th ACM Conference on Computational Learning Theory (COLT), Santa Cruz, 15-18, 1995 (PDF)
- Montague, P. R. Dayan, P. Sejnowski, T. J. Foraging in an Uncertain Environment Using Predictive Hebbian Learning, Advances in Neural Information Processing Systems, 6, Morgan Kaufman Publishers, San Mateo, CA, 598-605, 1994 (PDF)
- Schraudolph, N. N. Dayan, P. Sejnowski, T. J. Temporal Difference Learning of Position Evaluation in the Game of Go, Advances in Neural Information Processing Systems, 6, Morgan Kaufman Publishers, San Mateo, CA, 817-824, 1994 (PDF)
- Montague, P. R. Dayan, P. Nowlan, S. J. Pouget, A. Sejnowski, T. J. Using Aperiodic Reinforcement for Directed Self-Organization During Development Giles, C. L. Hanson, S. J. Cowan, J. D. (Ed.), Advances in Neural Information Processing Systems, 5, Morgan Kaufman Publishers, San Mateo, CA, 969-976, 1993 (PDF)
- Schraudolph, N. N. Dayan, P. Sejnowski, T. J. Learning to Evaluate Go Positions Via Temporal Difference Methods Baba, N. Jain, L. C. (Ed.), In: Computational Intelligence in Games, Springer Verlag, Berlin 62 (4) 77-98, 2001 (PDF)
- Montague, P. R. Dayan, P. Sejnowski, T. J. Volume Learning: Signaling Covariance Through Neural Tissue Bower, J. M. Eeckman, F. H. (Ed.), In: Computation and Neural Systems, Norwell, MA.: Kluwer Academic Publishers, 377-382, 2000 (PDF)
- Berns, G. S. Dayan, P. Sejnowski, T. J. Correlational-Based Development of Disparity Sensitivity Eeckman, F. H. (Ed.), In: Neural Systems: Analysis and Modeling, Lawrence Livermore National Laboratory, Livermore, CA, 1993 (PDF)
- Chukoskie, L. Schwartz, O. Sejnowski, T. J. Dayan, P. Krauzlis, R. J. Deciding where to look when there's not much to see, Society for Neuroscience Abstract, 2005 (PDF)
- Pouget, A Montague, P. R. Dayan, P. Sejnowski, T. J. A Developmental Model of Map Registration in the Superior Colliculus Using Predictive Hebbian Learning, Society for Neuroscience Abstracts, 19, 858, 1993 (PDF)
- Berns, G. S. Dayan, P. Sejnowski, T. J. Development of Disparity Sensitivity in a Correlational-Based Network Model of the Visual Cortex Requires Two Phases, Society for Neuroscience Abstracts, 18, 1306, 1992 (PDF)
- Quartz, S. R. Dayan, P. Montague, P. R. Sejnowski, T. J. Expectation Learning in the Brain Using Diffuse Ascending Projections, Society for Neuroscience Abstracts, 18, 1210, 1992 (PDF)