Neural Computation, Vol. 1, No. 4

[Terry Sejnowski]

Neural Computation
Volume 1, Number 4 

Reviews:

Learning in artificial neural networks
	Halbert White

Notes:

Representation properties of networks:  Kolmogorov's theorem is irrelevant
	Frederico Girosi and Tomaso Poggio

Sigmoids distinguish more efficiently than heavisides
	Eduardo D. Sontag

Letters:

How cortical interconnectedness varies with network size
	Charles F. Stevens

A canonical microcircuit for neocortex
	Rodney J. Douglas, Kevan A. C. Martin, and
	David Whitteridge

Snythetic neural circuits using current-domain signal representations
	Andreas G. Andreou and Kwabena A. Boahen

Random neural networks with negative and positive signals 
and product form solution
	Erol Gelenbe

Nonlinear optimization using generalized Hopfield networks
	Athanasios G. Tsirukis, Gintaras V. Reklaitis, and
	Manoel F. Tenorio

Discrete Synchronous neural algorithm for minimization
	Hyuk Lee

Approximation of boolean functions by sigmoidal networks:  
Part I: XOR and other two-variable functions
	E. K. Blum

Backpropagation applied to handwritten zip code  recognition
	Y. LeCun, B. Boser, J. S. Denker, D. Henderson,
	R. E. Howard, W. Hubbard, and L. D. Jackel

A subgrouping strategy that reduces complexity and 
speeds up learning in recurrent networks
	David Zipser

Unification as constraint satisfaction in structured connectionist networks
	Andreas Stolcke


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