Journal: Neural Computation

Volume 22, Issue 10

2477 -- 2506Robert Haslinger, Gordon Pipa, Emery Brown. Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking
2507 -- 2521Daniel Calabuig, Jose F. Monserrat, Narcís Cardona. Convergence and Stability of Quantized Hopfield Networks Operating in a Fully Parallel Mode
2522 -- 2536Anne C. Smith, Vinh Kha Nguyen, Mattias P. Karlsson, Loren M. Frank, Peter Smith. Probability of Repeating Patterns in Simultaneous Neural Data
2537 -- 2557N. M. Fernandes, B. D. L. Pinto, Lírio Onofre Batista Almeida, Jan Frans Willem Slaets, Roland Köberle. Recording from Two Neurons: Second-Order Stimulus Reconstruction from Spike Trains and Population Coding
2558 -- 2585Aniello Buonocore, Ludovico Caputo, Enrica Pirozzi, Luigi M. Ricciardi. On a Stochastic Leaky Integrate-and-Fire Neuronal Model
2586 -- 2614Satohiro Tajima, Hiromasa Takemura, Ikuya Murakami, Masato Okada. Neuronal Population Decoding Explains the Change in Signal Detection Sensitivity Caused by Task-Irrelevant Perceptual Bias
2615 -- 2646Jun Wang, Hendrik Jan Hoogeboom, Linqiang Pan, Gheorghe Paun, Mario J. Pérez-Jiménez. Spiking Neural P Systems with Weights
2655 -- 2677Dongpo Xu, Huisheng Zhang, Lijun Liu. Convergence Analysis of Three Classes of Split-Complex Gradient Algorithms for Complex-Valued Recurrent Neural Networks
2678 -- 2697Youngmin Cho, Lawrence K. Saul. Large-Margin Classification in Infinite Neural Networks
2698 -- 2728Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre. The MEE Principle in Data Classification: A Perceptron-Based Analysis