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. 4, Issue 2 - March 1992


First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
pp. 141-166
Abstract | PDF (1.41 MB)
Efficient Simplex-Like Methods for Equilibria of Nonsymmetric Analog Networks
pp. 167-190
Abstract | PDF (1.07 MB)
A Volatility Measure for Annealing in Feedback Neural Networks
pp. 191-195
Abstract | PDF (220.8 KB)
What Does the Retina Know about Natural Scenes?
pp. 196-210
Abstract | PDF (761.01 KB)
A Simple Network Showing Burst Synchronization without Frequency Locking
pp. 211-223
Abstract | PDF (621.48 KB)
On a Magnitude Preserving Iterative MAXnet Algorithm
pp. 224-233
Abstract | PDF (376.53 KB)
Learning Complex, Extended Sequences Using the Principle of History Compression
pp. 234-242
Abstract | PDF (512.36 KB)
A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks
pp. 243-248
Abstract | PDF (269.09 KB)
How Tight Are the Vapnik-Chervonenkis Bounds?
pp. 249-269
Abstract | PDF (941.66 KB)
Working Memory Networks for Learning Temporal Order with Application to Three-Dimensional Visual Object Recognition
pp. 270-286
Abstract | PDF (872.48 KB)