Skip to Main Content

Advertisement

Umbrella Alt Text
header search
Search
Advanced Search
Skip Nav Destination

Issues

Volume 16, Issue 1
January 2004
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Bayesian Computation in Recurrent Neural Circuits
Rajesh P. N. Rao
Neural Computation (2004) 16 (1): 1–38.
View articletitled, Bayesian Computation in Recurrent Neural Circuits
Open the PDF for in another window

Letters

Probability of Stimulus Detection in a Model Population of Rapidly Adapting Fibers
Burak Güçlü, Stanley J. Bolanowski
Neural Computation (2004) 16 (1): 39–58.
View articletitled, Probability of Stimulus Detection in a Model Population of Rapidly Adapting Fibers
Open the PDF for in another window
A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks
A. Vahed, C. W. Omlin
Neural Computation (2004) 16 (1): 59–71.
View articletitled, A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks
Open the PDF for in another window
Orthogonality of Decision Boundaries in Complex-Valued Neural Networks
Tohru Nitta
Neural Computation (2004) 16 (1): 73–97.
View articletitled, Orthogonality of Decision Boundaries in Complex-Valued Neural Networks
Open the PDF for in another window
On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models
Taichi Hayasaka, Masashi Kitahara, Shiro Usui
Neural Computation (2004) 16 (1): 99–114.
View articletitled, On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models
Open the PDF for in another window
Asymptotic Properties of the Fisher Kernel
Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller
Neural Computation (2004) 16 (1): 115–137.
View articletitled, Asymptotic Properties of the Fisher Kernel
Open the PDF for in another window
Adaptive Hybrid Learning for Neural Networks
Rob Smithies, Said Salhi, Nat Queen
Neural Computation (2004) 16 (1): 139–157.
View articletitled, Adaptive Hybrid Learning for Neural Networks
Open the PDF for in another window
Divergence Function, Duality, and Convex Analysis
Jun Zhang
Neural Computation (2004) 16 (1): 159–195.
View articletitled, Divergence Function, Duality, and Convex Analysis
Open the PDF for in another window
Linear Response Algorithms for Approximate Inference in Graphical Models
Max Welling, Yee Whye Teh
Neural Computation (2004) 16 (1): 197–221.
View articletitled, Linear Response Algorithms for Approximate Inference in Graphical Models
Open the PDF for in another window

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal

Advertisement

Advertisement

  • Online ISSN 1530-888X
  • Print ISSN 0899-7667
A product of The MIT Press
Newsletter Sign Up

MIT Press Direct

Information

MIT Press

Contact Us

© 2023 The MIT Press
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept