D. Ackley, G. Hinton, T. Sejnowski, E. Farguell, F. Mazzanti, E. Gómez-ramírez, ...
HOD process. Therefore, there is a tradeoff between memory and computing time. HOD provides a direct solution for the learning algorithm. In comparison, tuning the MC algorithm to provide lower error...
XI. Neuroenergetics: Relevance for Functional Brain Imaging, eds P. J. (2008)
In Eukaryotes, R. Y. Tsien, K. Mikoshiba, J. Altman, R. Caminiti, ...
The HFSP workshops were initiated by Michel Cuénod (Secretary-General, HFSPO) with the support of the Board of Trustees and the Council of Scientists. The workshops, held in English, are organized...
LETTER Communicated by Hagai Attias Dictionary Learning Algorithms for Sparse Representation (2008)
Kenneth Kreutz-delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-won Lee, Terrence J. Sejnowski, ...
Algorithms for data-driven learning of domain-specific overcomplete dictionaries are developed to obtain maximum likelihood and maximum a posteriori dictionary estimates based on the use of Bayesian...
B. Flower, Weight An, G. Hinton, T. Sejnowski
VLSI feedforward and recurrent multilayer networks. Neural Computation 3(4):546–565, 1991. [192] Jabri, M.A., and B. Flower. Weight perturbation: An optimal architecture and learning technique for...
A Variational Principle for Graphical Models (2005)
Edited S. Haykin, J. Principe, T. Sejnowski, J. Mcwhirter, Mit Press, M. Wainwright, ...
Graphical models bring together graph theory and probability theory in a powerful formalism for multivariate statistical modeling. In statistical signal processing -- as well as in related fields...
From visual attention through to motor control (2004)
Assad, C., Arnold, M., Ros, E., Coenen, O., Hamker, F., Jabri, M., ...
Report on the 2004 WORKSHOP ON NEUROMORPHIC ENGINEERING (2004)
Telluride Co, Avis Cohen, Ralph Etienne-cummings, Tim Horiuchi, Indiveri Shihab Shamma, Rodney Douglas, ...
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software...
Telluride Co, Avis Cohen, Ralph Etienne-cummings, Tim Horiuchi, Giacomo Indiveri, Shihab Shamma, ...
GNU Free Documentation License, Version 1.1 or any later version published by the Free Software Foundation; with the no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts. A...
Telluride Co, Avis Cohen, Shihab Shamma, Giacomo Indiveri, Tim Horiuchi, R. Douglas, ...
GNU Free Documentation License, Version 1.1 or any later version published by the Free Software Foundation; with the no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts. A...
Telluride Co, Avis Cohen, Shihab Shamma, Giacomo Indiveri, Tim Horiuchi, R. Douglas, ...
and T. Sejnowski. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.1 or any later version published by the Free...
Convex/Schur-Convex (CSC) Log-Priors and Sparse Coding (1999)
K. Kreutz-delgado, B.D. Rao, K. Engan, T. Sejnowski
The "folk theorem" that sparsity inducing priors should be supergaussian can be rigorously stated in the low-noise limit, assuming the validity of a particular stochastic generative model....
Report to the National Science Foundation: WORKSHOP ON NEUROMORPHIC ENGINEERING (1999)
Telluride Co, Avis Cohen, Shihab Shamma, Giacomo Indiveri, Tim Horiuchi, R. Douglas, ...
Sejnowski: ”Neural codes and distributed representations: foundations of neural computation (1999)
Edited L. Abbott, T. Sejnowski, Laurence F. Abbott, Terrence J. Sejnowski