Neural Computation 6:3

[Terry Sejnowski]

NEURAL COMPUTATION

May 1994 Volume 6 Number 3

Review:

Statistical Physics Algorithms that Converge
	A.L. Yuille and J. J. Kosowsky

Article:

Object Recognition and Sensitive Periods:  A Computational Analysis 
of Visual Imprinting
	Randall C. O'Reilly and Mark H. Johnson

Letters:

Computing Stereo Disparity and Motion with Known Binocular 
Cell Properties
	Ning Qian

Integration and Differentiation in Dynamic Recurrent Neural Networks
	Edwin E. Munro, Larry E. Shupe, and Eberhard E. Fetz

A Convergence Result for Learning in Recurrent Neural Networks
	Chung-Ming Kuan, Kurt Hornik and Halbert White

Topology Learning Solved by Extended Objects:  A Neural Network Model
	Csaba Szepesvari, Laszlo Balazs and Andras Lorincz

Dynamics of Discrete Time, Continuous-State Hopfield Networks
	Pascal Koiran

Alopex:  A Correlation-Based Learning Algorithm for Feedforward and
Recurrent Neural Networks
	K. P. Unnikrishnan and K. P. Venugopal

Duality Between Learning Machines:  A Bridge Between Supervised and
Unsupervised Learning
	Jean-Pierre Nadal and N. Parga

Finding the Embedding Dimension and Variable Dependencies in
Time Series
	Hong Pi and Carsten Peterson

Comparison of Some Neural Network and Scattered Data Approximations:
The Inverse Manipulator Kinematics Example
	Dimitry Gorinevsky and Thomas H. Connolly

Functionally Equivalent Feedforward Neural Networks
	Vera Kurkova and Paul C. Kainen

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