Difference between revisions of "Terrence J. Sejnowski"
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=Learning in Games= | =Learning in Games= | ||
− | Along with [[Gerald Tesauro]], Terrence Sejnowski worked and published on neural networks applied to [[Backgammon]] <ref>[[Gerald Tesauro]], [[Terrence J. Sejnowski]] ('''1987'''). ''A 'Neural' Network that Learns to Play Backgammon''. [https://dblp.uni-trier.de/db/conf/nips/nips1987.html NIPS 1987]</ref>, and along with [[Nicol N. Schraudolph]] and [[Peter Dayan]] on [[Temporal Difference Learning|temporal difference learning]] to evaluate positions in [[Go]] <ref>[[Nicol N. Schraudolph]], [[Peter Dayan]], [[Terrence J. Sejnowski]] (''' | + | Along with [[Gerald Tesauro]], Terrence Sejnowski worked and published on neural networks applied to [[Backgammon]] <ref>[[Gerald Tesauro]], [[Terrence J. Sejnowski]] ('''1987'''). ''A 'Neural' Network that Learns to Play Backgammon''. [https://dblp.uni-trier.de/db/conf/nips/nips1987.html NIPS 1987]</ref>, and along with [[Nicol N. Schraudolph]] and [[Peter Dayan]] on [[Temporal Difference Learning|temporal difference learning]] to evaluate positions in [[Go]] <ref>[[Nicol N. Schraudolph]], [[Peter Dayan]], [[Terrence J. Sejnowski]] ('''1993'''). ''[https://papers.nips.cc/paper/820-temporal-difference-learning-of-position-evaluation-in-the-game-of-go Temporal Difference Learning of Position Evaluation in the Game of Go]''. [https://papers.nips.cc/book/advances-in-neural-information-processing-systems-6-1993 NIPS 1993]</ref>. |
=Selected Publications= | =Selected Publications= | ||
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* [[Mathematician#DHAckley|David H. Ackley]], [[Mathematician#GEHinton|Geoffrey E. Hinton]], [[Terrence J. Sejnowski]] ('''1985'''). ''A Learning Algorithm for Boltzmann Machines''. Cognitive Science, Vol. 9, No. 1, [https://web.archive.org/web/20110718022336/http://learning.cs.toronto.edu/~hinton/absps/cogscibm.pdf pdf] | * [[Mathematician#DHAckley|David H. Ackley]], [[Mathematician#GEHinton|Geoffrey E. Hinton]], [[Terrence J. Sejnowski]] ('''1985'''). ''A Learning Algorithm for Boltzmann Machines''. Cognitive Science, Vol. 9, No. 1, [https://web.archive.org/web/20110718022336/http://learning.cs.toronto.edu/~hinton/absps/cogscibm.pdf pdf] | ||
* [[Terrence J. Sejnowski]], [http://dblp.uni-trier.de/pers/hd/r/Rosenberg:Charles_R= Charles R. Rosenberg] ('''987'''). ''Parallel Networks That Learn to Pronounce English Text''. [https://en.wikipedia.org/wiki/Complex_Systems_(journal) Complex Systems], Vol. 1, [https://papers.cnl.salk.edu/PDFs/The%20Spacing%20Effect%20on%20NETtalk%2C%20A%20Massively-Parallel%20Network%201986-3906.pdf pdf] | * [[Terrence J. Sejnowski]], [http://dblp.uni-trier.de/pers/hd/r/Rosenberg:Charles_R= Charles R. Rosenberg] ('''987'''). ''Parallel Networks That Learn to Pronounce English Text''. [https://en.wikipedia.org/wiki/Complex_Systems_(journal) Complex Systems], Vol. 1, [https://papers.cnl.salk.edu/PDFs/The%20Spacing%20Effect%20on%20NETtalk%2C%20A%20Massively-Parallel%20Network%201986-3906.pdf pdf] | ||
− | * [[Gerald Tesauro]], [[Terrence J. Sejnowski]] ('''1987'''). ''A 'Neural' Network that Learns to Play Backgammon''. [ | + | * [[Gerald Tesauro]], [[Terrence J. Sejnowski]] ('''1987'''). ''A 'Neural' Network that Learns to Play Backgammon''. [https://dblp.uni-trier.de/db/conf/nips/nips1987.html NIPS 1987], [https://papers.nips.cc/paper/30-a-neural-network-that-learns-to-play-backgammon.pdf pdf] |
* [[Gerald Tesauro]], [[Terrence J. Sejnowski]] ('''1989'''). ''A Parallel Network that Learns to Play Backgammon''. [https://en.wikipedia.org/wiki/Artificial_Intelligence_%28journal%29 Artificial Intelligence], Vol. 39, No. 3 | * [[Gerald Tesauro]], [[Terrence J. Sejnowski]] ('''1989'''). ''A Parallel Network that Learns to Play Backgammon''. [https://en.wikipedia.org/wiki/Artificial_Intelligence_%28journal%29 Artificial Intelligence], Vol. 39, No. 3 | ||
==1990 ...== | ==1990 ...== | ||
* [https://dblp.uni-trier.de/pers/hd/f/Fang:Yan Yan Fang], [[Terrence J. Sejnowski]] ('''1990'''). ''Faster Learning for Dynamic Recurrent Backpropagation''. [https://en.wikipedia.org/wiki/Neural_Computation_(journal) Neural Computation], Vol. 2, No. 3, [https://papers.cnl.salk.edu/PDFs/Faster%20Learning%20for%20Dynamic%20Recurrent%20Backpropagation%201990-3145.pdf pdf] | * [https://dblp.uni-trier.de/pers/hd/f/Fang:Yan Yan Fang], [[Terrence J. Sejnowski]] ('''1990'''). ''Faster Learning for Dynamic Recurrent Backpropagation''. [https://en.wikipedia.org/wiki/Neural_Computation_(journal) Neural Computation], Vol. 2, No. 3, [https://papers.cnl.salk.edu/PDFs/Faster%20Learning%20for%20Dynamic%20Recurrent%20Backpropagation%201990-3145.pdf pdf] | ||
+ | * [[Nicol N. Schraudolph]], [[Terrence J. Sejnowski]] ('''1991'''). ''[https://papers.nips.cc/paper/472-competitive-anti-hebbian-learning-of-invariants Competitive Anti-Hebbian Learning of Invariants]''. [https://papers.nips.cc/book/advances-in-neural-information-processing-systems-4-1991 NIPS 1991] | ||
* [https://en.wikipedia.org/wiki/Patricia_Churchland Patricia Churchland], [[Terrence J. Sejnowski]] ('''1992'''). ''[https://mitpress.mit.edu/books/computational-brain The Computational Brain]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press] | * [https://en.wikipedia.org/wiki/Patricia_Churchland Patricia Churchland], [[Terrence J. Sejnowski]] ('''1992'''). ''[https://mitpress.mit.edu/books/computational-brain The Computational Brain]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press] | ||
− | * [[Nicol N. Schraudolph]], [[Peter Dayan]], [[Terrence J. Sejnowski]] (''' | + | * [[Nicol N. Schraudolph]], [[Terrence J. Sejnowski]] ('''1992'''). ''[https://papers.nips.cc/paper/628-unsupervised-discrimination-of-clustered-data-via-optimization-of-binary-information-gain Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain]''. [https://papers.nips.cc/book/advances-in-neural-information-processing-systems-5-1992 NIPS 1992] |
+ | * [[Nicol N. Schraudolph]], [[Peter Dayan]], [[Terrence J. Sejnowski]] ('''1993'''). ''[https://papers.nips.cc/paper/820-temporal-difference-learning-of-position-evaluation-in-the-game-of-go Temporal Difference Learning of Position Evaluation in the Game of Go]''. [https://papers.nips.cc/book/advances-in-neural-information-processing-systems-6-1993 NIPS 1993] <ref>[http://satirist.org/learn-game/systems/go-net.html Nici Schraudolph’s go networks], review by [[Jay Scott]]</ref> | ||
* [[Peter Dayan]], [[Terrence J. Sejnowski]] ('''1994'''). ''TD(λ) converges with Probability 1''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 14, No. 1, [https://www.researchgate.net/profile/Terrence_Sejnowski/publication/228392650_TD_X_Converges_with_Probability/links/54a4afea0cf256bf8bb327a9.pdf?origin=publication_detail pdf] | * [[Peter Dayan]], [[Terrence J. Sejnowski]] ('''1994'''). ''TD(λ) converges with Probability 1''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 14, No. 1, [https://www.researchgate.net/profile/Terrence_Sejnowski/publication/228392650_TD_X_Converges_with_Probability/links/54a4afea0cf256bf8bb327a9.pdf?origin=publication_detail pdf] | ||
* [[Nicol N. Schraudolph]], [[Terrence J. Sejnowski]] ('''1995'''). ''Tempering Backpropagation Networks: Not All Weights are Created Equal''. [https://papers.nips.cc/book/advances-in-neural-information-processing-systems-8-1995 NIPS 1995], [https://papers.nips.cc/paper/1100-tempering-backpropagation-networks-not-all-weights-are-created-equal.pdf pdf] | * [[Nicol N. Schraudolph]], [[Terrence J. Sejnowski]] ('''1995'''). ''Tempering Backpropagation Networks: Not All Weights are Created Equal''. [https://papers.nips.cc/book/advances-in-neural-information-processing-systems-8-1995 NIPS 1995], [https://papers.nips.cc/paper/1100-tempering-backpropagation-networks-not-all-weights-are-created-equal.pdf pdf] | ||
* [[Peter Dayan]], [[Terrence J. Sejnowski]] ('''1996'''). ''[http://link.springer.com/article/10.1023/A:1018357105171 Exploration Bonuses and Dual Control]''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 25, No. 1, [http://www.gatsby.ucl.ac.uk/~dayan/papers/ds96.pdf pdf] | * [[Peter Dayan]], [[Terrence J. Sejnowski]] ('''1996'''). ''[http://link.springer.com/article/10.1023/A:1018357105171 Exploration Bonuses and Dual Control]''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 25, No. 1, [http://www.gatsby.ucl.ac.uk/~dayan/papers/ds96.pdf pdf] | ||
− | * [ | + | * [https://en.wikipedia.org/wiki/Larry_Abbott Laurence F. Abbott], [[Terrence J. Sejnowski]] (eds.) ('''1999'''). ''[https://mitpress.mit.edu/books/neural-codes-and-distributed-representations Neural Codes and Distributed Representations]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press] |
* [[Mathematician#GEHinton|Geoffrey E. Hinton]], [[Terrence J. Sejnowski]] (eds.) ('''1999'''). ''[https://mitpress.mit.edu/books/unsupervised-learning Unsupervised Learning: Foundations of Neural Computation]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press] | * [[Mathematician#GEHinton|Geoffrey E. Hinton]], [[Terrence J. Sejnowski]] (eds.) ('''1999'''). ''[https://mitpress.mit.edu/books/unsupervised-learning Unsupervised Learning: Foundations of Neural Computation]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press] | ||
==2000 ...== | ==2000 ...== | ||
* [[Nicol N. Schraudolph]], [[Peter Dayan]], [[Terrence J. Sejnowski]] ('''2001'''). ''[https://link.springer.com/chapter/10.1007/978-3-7908-1833-8_4 Learning to Evaluate Go Positions via Temporal Difference Methods]''. [http://jasss.soc.surrey.ac.uk/7/1/reviews/takama.html Computational Intelligence in Games, Studies in Fuzziness and Soft Computing]. [http://www.springer.com/economics?SGWID=1-165-6-73481-0 Physica-Verlag], [https://papers.cnl.salk.edu/PDFs/Learning%20to%20Evaluate%20Go%20Positions%20Via%20Temporal%20Difference%20Methods%202001-3244.pdf pdf] | * [[Nicol N. Schraudolph]], [[Peter Dayan]], [[Terrence J. Sejnowski]] ('''2001'''). ''[https://link.springer.com/chapter/10.1007/978-3-7908-1833-8_4 Learning to Evaluate Go Positions via Temporal Difference Methods]''. [http://jasss.soc.surrey.ac.uk/7/1/reviews/takama.html Computational Intelligence in Games, Studies in Fuzziness and Soft Computing]. [http://www.springer.com/economics?SGWID=1-165-6-73481-0 Physica-Verlag], [https://papers.cnl.salk.edu/PDFs/Learning%20to%20Evaluate%20Go%20Positions%20Via%20Temporal%20Difference%20Methods%202001-3244.pdf pdf] | ||
− | * [[Michael I. Jordan]], [[Terrence J. Sejnowski]] (eds.) ('''2002'''). ''[https://mitpress.mit.edu/books/graphical-models Graphical Models: Foundations of Neural Computation]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press] | + | * [[Mathematician#MIJordan|Michael I. Jordan]], [[Terrence J. Sejnowski]] (eds.) ('''2002'''). ''[https://mitpress.mit.edu/books/graphical-models Graphical Models: Foundations of Neural Computation]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press] |
==2010 ...== | ==2010 ...== | ||
* [https://en.wikipedia.org/wiki/Patricia_Churchland Patricia Churchland], [[Terrence J. Sejnowski]] ('''2016'''). ''[https://mitpress.mit.edu/books/computational-brain-25th-anniversary-edition The Computational Brain, 25th Anniversary Edition]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press] | * [https://en.wikipedia.org/wiki/Patricia_Churchland Patricia Churchland], [[Terrence J. Sejnowski]] ('''2016'''). ''[https://mitpress.mit.edu/books/computational-brain-25th-anniversary-edition The Computational Brain, 25th Anniversary Edition]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press] | ||
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* [https://cnl.salk.edu/ The Computational Neurobiology Laboratory - The Sejnowski Lab: Bridging the Levels] | * [https://cnl.salk.edu/ The Computational Neurobiology Laboratory - The Sejnowski Lab: Bridging the Levels] | ||
* [https://en.wikipedia.org/wiki/Terry_Sejnowski Terry Sejnowski from Wikipedia] | * [https://en.wikipedia.org/wiki/Terry_Sejnowski Terry Sejnowski from Wikipedia] | ||
+ | * Terrence Sejnowski - [[Deep Learning]]: [[Artificial Intelligence]] Meets Human Intelligence, May 24, 2017, [https://en.wikipedia.org/wiki/YouTube YouTube] Video | ||
+ | : {{#evu:https://www.youtube.com/watch?v=O8vlHOKTepQ|alignment=left|valignment=top}} | ||
=References= | =References= | ||
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'''[[People|Up one level]]''' | '''[[People|Up one level]]''' | ||
[[Category:Mathematician|Sejnowski]] | [[Category:Mathematician|Sejnowski]] | ||
+ | [[Category:Physicist|Sejnowski]] | ||
[[Category:Researcher|Sejnowski]] | [[Category:Researcher|Sejnowski]] | ||
+ | [[Category:Videos|Sejnowski]] |
Latest revision as of 22:06, 3 November 2020
Home * People * Terrence J. Sejnowski
Terrence J. (Terry) Sejnowski,
an American physicist, computer scientist, neurobiologist, investigator at the Howard Hughes Medical Institute, Francis Crick professor at the Salk Institute for Biological Studies, La Jolla, San Diego, California, and adjunct professor in the departments of neurosciences, psychology, cognitive science, computer science and engineering at the University of California, San Diego.
He was further member of the advisory committee for President Obama’s BRAIN Initiative. Terrence Sejnowski received his M.Sc. in physics under John Wheeler in 1970 at Princeton University, and his Ph.D. in physics under John Hopfield in 1978 at Princeton as well.
In 1982, he joined the department of biology at Johns Hopkins University before moving to San Diego in 1988. He pioneered in neural networks and computational neuroscience, and co-invented the Boltzmann machine, a type of recurrent neural network capable of learning internal representations [2],
and researched on problems in speech concerning English pronunciation, resulting in NETtalk [3].
In collaboration with Barbara Oakley, Terrence Sejnowski co-created and taught Learning How To Learn: Powerful mental tools to help you master tough subjects, available as MOOC on Coursera [4].
Learning in Games
Along with Gerald Tesauro, Terrence Sejnowski worked and published on neural networks applied to Backgammon [5], and along with Nicol N. Schraudolph and Peter Dayan on temporal difference learning to evaluate positions in Go [6].
Selected Publications
1985 ...
- David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski (1985). A Learning Algorithm for Boltzmann Machines. Cognitive Science, Vol. 9, No. 1, pdf
- Terrence J. Sejnowski, Charles R. Rosenberg (987). Parallel Networks That Learn to Pronounce English Text. Complex Systems, Vol. 1, pdf
- Gerald Tesauro, Terrence J. Sejnowski (1987). A 'Neural' Network that Learns to Play Backgammon. NIPS 1987, pdf
- Gerald Tesauro, Terrence J. Sejnowski (1989). A Parallel Network that Learns to Play Backgammon. Artificial Intelligence, Vol. 39, No. 3
1990 ...
- Yan Fang, Terrence J. Sejnowski (1990). Faster Learning for Dynamic Recurrent Backpropagation. Neural Computation, Vol. 2, No. 3, pdf
- Nicol N. Schraudolph, Terrence J. Sejnowski (1991). Competitive Anti-Hebbian Learning of Invariants. NIPS 1991
- Patricia Churchland, Terrence J. Sejnowski (1992). The Computational Brain. MIT Press
- Nicol N. Schraudolph, Terrence J. Sejnowski (1992). Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain. NIPS 1992
- Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (1993). Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS 1993 [8]
- Peter Dayan, Terrence J. Sejnowski (1994). TD(λ) converges with Probability 1. Machine Learning, Vol. 14, No. 1, pdf
- Nicol N. Schraudolph, Terrence J. Sejnowski (1995). Tempering Backpropagation Networks: Not All Weights are Created Equal. NIPS 1995, pdf
- Peter Dayan, Terrence J. Sejnowski (1996). Exploration Bonuses and Dual Control. Machine Learning, Vol. 25, No. 1, pdf
- Laurence F. Abbott, Terrence J. Sejnowski (eds.) (1999). Neural Codes and Distributed Representations. MIT Press
- Geoffrey E. Hinton, Terrence J. Sejnowski (eds.) (1999). Unsupervised Learning: Foundations of Neural Computation. MIT Press
2000 ...
- Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (2001). Learning to Evaluate Go Positions via Temporal Difference Methods. Computational Intelligence in Games, Studies in Fuzziness and Soft Computing. Physica-Verlag, pdf
- Michael I. Jordan, Terrence J. Sejnowski (eds.) (2002). Graphical Models: Foundations of Neural Computation. MIT Press
2010 ...
External Links
- Terrence Sejnowski - Salk Institute for Biological Studies
- The Computational Neurobiology Laboratory - The Sejnowski Lab: Bridging the Levels
- Terry Sejnowski from Wikipedia
- Terrence Sejnowski - Deep Learning: Artificial Intelligence Meets Human Intelligence, May 24, 2017, YouTube Video
References
- ↑ Image clipped from Terry-Sejnowski_A2A8677.jpg, Terrence Sejnowski - Salk Institute for Biological Studies
- ↑ David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski (1985). A Learning Algorithm for Boltzmann Machines. Cognitive Science, Vol. 9, No. 1, pdf
- ↑ Terrence J. Sejnowski, Charles R. Rosenberg (1987). Parallel Networks That Learn to Pronounce English Text. Complex Systems, Vol. 1, pdf
- ↑ Learning How to Learn: Powerful mental tools to help you master tough subjects - University of California, San Diego | Coursera
- ↑ Gerald Tesauro, Terrence J. Sejnowski (1987). A 'Neural' Network that Learns to Play Backgammon. NIPS 1987
- ↑ Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (1993). Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS 1993
- ↑ dblp: Terrence J. Sejnowski
- ↑ Nici Schraudolph’s go networks, review by Jay Scott