- Ning Qian:
Computing Stereo Disparity and Motion with Known Binocular Cell Properties. Neural Comput. 6(3): 390-404 (1994) - Paul A. Rhodes, Charles M. Gray:
Simulations of Intrinsically Bursting Neocortical Pyramidal Neurons. Neural Comput. 6(6): 1086-1110 (1994) - Stephen J. Roberts, Lionel Tarassenko:
A Probabilistic Resource Allocating Network for Novelty Detection. Neural Comput. 6(2): 270-284 (1994) - Thorsteinn S. Rögnvaldsson
:
On Langevin Updating in Multilayer Perceptrons. Neural Comput. 6(5): 916-926 (1994) - Terence D. Sanger:
Theoretical Considerations for the Analysis of Population Coding in Motor Cortex. Neural Comput. 6(1): 29-37 (1994) - Lawrence K. Saul, Michael I. Jordan:
Learning in Boltzmann Trees. Neural Comput. 6(6): 1174-1184 (1994) - Gary M. Scott, W. Harmon Ray:
Neural Network Process Models Based on Linear Model Structures. Neural Comput. 6(4): 718-738 (1994) - R. S. Shadafan, M. Niranjan:
A Dynamic Neural Network Architecture by Sequential Partitioning of the Input Space. Neural Comput. 6(6): 1202-1222 (1994) - Jirí Síma:
Loading Deep Networks Is Hard. Neural Comput. 6(5): 842-850 (1994) - Haim Sompolinsky, Michail Tsodyks:
Segmentation by a Network of Oscillators with Stored Memories. Neural Comput. 6(4): 642-657 (1994) - Granger G. Sutton III, James A. Reggia, Steven L. Armentrout, C. Lynne D'Autrechy:
Cortical Map Reorganization as a Competitive Process. Neural Comput. 6(1): 1-13 (1994) - Csaba Szepesvári, László Balázs, András Lörincz:
Topology Learning Solved by Extended Objects: A Neural Network Model. Neural Comput. 6(3): 441-458 (1994) - Gerald Tesauro:
TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play. Neural Comput. 6(2): 215-219 (1994) - K. P. Unnikrishnan, Kootala P. Venugopal:
Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks. Neural Comput. 6(3): 469-490 (1994) - Marius Usher, Martin Stemmler, Christof Koch, Zeev Olami:
Network Amplification of Local Fluctuations Causes High Spike Rate Variability, Fractal Firing Patterns and Oscillatory Local Field Potentials. Neural Comput. 6(5): 795-836 (1994) - Vladimir Vapnik, Esther Levin, Yann LeCun:
Measuring the VC-Dimension of a Learning Machine. Neural Comput. 6(5): 851-876 (1994) - Alan L. Yuille, J. J. Kosowsky:
Statistical Physics Algorithms That Converge. Neural Comput. 6(3): 341-356 (1994) - Alan L. Yuille, Paul E. Stolorz, Joachim Utans:
Statistical Physics, Mixtures of Distributions, and the EM Algorithm. Neural Comput. 6(2): 334-340 (1994)
