Skip to Main Content

Advertisement

Umbrella Alt Text
header search
Search
Advanced Search
Skip Nav Destination

Issues

Volume 25, Issue 6
June 2013
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Articles

Emergence of Optimal Decoding of Population Codes Through STDP
Stefan Habenschuss, Helmut Puhr, Wolfgang Maass
Neural Computation (2013) 25 (6): 1371–1407.
View articletitled, Emergence of Optimal Decoding of Population Codes Through STDP
Supplementary data
Open the PDF for in another window
Randomly Connected Networks Have Short Temporal Memory
Edward Wallace, Hamid Reza Maei, Peter E. Latham
Neural Computation (2013) 25 (6): 1408–1439.
View articletitled, Randomly Connected Networks Have Short Temporal Memory
Open the PDF for in another window

Letters

New Supervised Learning Theory Applied to Cerebellar Modeling for Suppression of Variability of Saccade End Points
Masahiko Fujita
Neural Computation (2013) 25 (6): 1440–1471.
View articletitled, New Supervised Learning Theory Applied to Cerebellar Modeling for Suppression of Variability of Saccade End Points
Open the PDF for in another window
A New Supervised Learning Algorithm for Spiking Neurons
Yan Xu, Xiaoqin Zeng, Shuiming Zhong
Neural Computation (2013) 25 (6): 1472–1511.
View articletitled, A New Supervised Learning Algorithm for Spiking Neurons
Open the PDF for in another window
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration
Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama
Neural Computation (2013) 25 (6): 1512–1547.
View articletitled, Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration
Open the PDF for in another window
The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data
Sascha Klement, Silke Anders, Thomas Martinetz
Neural Computation (2013) 25 (6): 1548–1584.
View articletitled, The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data
Open the PDF for in another window
Parameter Learning for Alpha Integration
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
Neural Computation (2013) 25 (6): 1585–1604.
View articletitled, Parameter Learning for Alpha Integration
Open the PDF for in another window
Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders
Zhitang Chen, Laiwan Chan
Neural Computation (2013) 25 (6): 1605–1641.
View articletitled, Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders
Supplementary data
Open the PDF for in another window
Simple Neural-Like P Systems for Maximal Independent Set Selection
Lei Xu, Peter Jeavons
Neural Computation (2013) 25 (6): 1642–1659.
View articletitled, Simple Neural-Like P Systems for Maximal Independent Set Selection
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