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Issues

Volume 8, Issue 5
July 1996
Neural Computation Cover Image for Volume 8, Issue 5
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm
Randall C. O'Reilly
Neural Computation (1996) 8 (5): 895–938.
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Letters

Effects of Nonlinear Synapses on the Performance of Multilayer Neural Networks
G. Dündar, F-C. Hsu, K. Rose
Neural Computation (1996) 8 (5): 939–949.
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Modeling Slowly Bursting Neurons via Calcium Store and Voltage-Independent Calcium Current
Teresa Ree Chay
Neural Computation (1996) 8 (5): 951–978.
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Type I Membranes, Phase Resetting Curves, and Synchrony
Bard Ermentrout
Neural Computation (1996) 8 (5): 979–1001.
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On Neurodynamics with Limiter Function and Linsker's Developmental Model
Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury
Neural Computation (1996) 8 (5): 1003–1019.
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Effect of Binocular Cortical Misalignment on Ocular Dominance and Orientation Selectivity
Harel Shouval, Nathan Intrator, C. Charles Law, Leon N Cooper
Neural Computation (1996) 8 (5): 1021–1040.
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A Novel Optimizing Network Architecture with Applications
Anand Rangarajan, Steven Gold, Eric Mjolsness
Neural Computation (1996) 8 (5): 1041–1060.
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Gradient Projection Network: Analog Solver for Linearly Constrained Nonlinear Programming
Kiichi Urahama
Neural Computation (1996) 8 (5): 1061–1073.
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Online Steepest Descent Yields Weights with Nonnormal Limiting Distribution
Sayandev Mukherjee, Terrence L. Fine
Neural Computation (1996) 8 (5): 1075–1084.
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A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks
K.-R. Müller, M. Finke, N. Murata, K. Schulten, S. Amari
Neural Computation (1996) 8 (5): 1085–1106.
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Rate of Convergence in Density Estimation Using Neural Networks
Dharmendra S. Modha, Elias Masry
Neural Computation (1996) 8 (5): 1107–1122.
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Modeling Conditional Probability Distributions for Periodic Variables
Christopher M. Bishop, Ian T. Nabney
Neural Computation (1996) 8 (5): 1123–1133.
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