288 pp. per issue
6 x 9, illustrated
2014 Impact factor:

Neural Computation


Terrence J. Sejnowski, Editor-in-Chief

Neural Computation disseminates important, multidisciplinary research in a field that attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligence investigators, among others.

Table of Contents

Vol. 26, Issue 9 - September 2014


Continuous Closed-Loop Decoder Adaptation with a Recursive Maximum Likelihood Algorithm Allows for Rapid Performance Acquisition in Brain-Machine Interfaces
pp. 1811-1839
Abstract | PDF (553.02 KB)
Neuronal Spike Train Entropy Estimation by History Clustering
pp. 1840-1872
Abstract | PDF (540.84 KB)
Memory Nearly on a Spring: A Mean First Passage Time Approach to Memory Lifetimes
pp. 1873-1923
Abstract | PDF (772.55 KB)
Sparseness, Antisparseness and Anything in Between: The Operating Point of a Neuron Determines Its Computational Repertoire
pp. 1924-1972
Abstract | PDF (1.67 MB)
Sequential Activity in Asymmetrically Coupled Winner-Take-All Circuits
pp. 1973-2004
Abstract | PDF (2.34 MB)
Synchronization of Stochastic Competitive Neural Networks with Different Timescales and Reaction-Diffusion Terms
pp. 2005-2024
Abstract | PDF (661.93 KB)
A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons
pp. 2025-2051
Abstract | PDF (1.17 MB)
A Bayesian Model of Polychronicity
pp. 2052-2073
Abstract | PDF (721.55 KB)
A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator
pp. 2074-2101
Abstract | PDF (942.7 KB)