Journal: Neural Computation

Volume 15, Issue 7

1439 -- 1475Emilio Salinas. Background Synaptic Activity as a Switch Between Dynamical States in a Network
1477 -- 1480Trevor Hastie, Robert Tibshirani, Jerome Friedman. Note on Comparison of Model Selection for Regression by Vladimir Cherkassky and Yunqian Ma
1481 -- 1510Gal Chechik. Spike-Timing-Dependent Plasticity and Relevant Mutual Information Maximization
1511 -- 1523Eugene M. Izhikevich, Niraj S. Desai. Relating STDP to BCM
1525 -- 1557James A. Bednar, Risto Miikkulainen. Learning Innate Face Preferences
1559 -- 1588Heiko Wersing, Edgar Körner. Learning Optimized Features for Hierarchical Models of Invariant Object Recognition
1589 -- 1604Sambu Seo, Klaus Obermayer. Soft Learning Vector Quantization
1605 -- 1619Rong Long Wang, Zheng Tang, Qi Ping Cao. An Efficient Approximation Algorithm for Finding a Maximum Clique Using Hopfield Network Learning
1621 -- 1640Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani. The Effect of Noise on a Class of Energy-Based Learning Rules
1641 -- 1666Taehwan Kim, Tülay Adali. Approximation by Fully Complex Multilayer Perceptrons
1667 -- 1689S. Sathiya Keerthi, Chih-Jen Lin. Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
1691 -- 1714Vladimir Cherkassky, Yunqian Ma. Comparison of Model Selection for Regression