David W. Tank

Neural computation by concentrating information in time.

An analog model neural network that can solve a general problem of recognizing patterns in a time-dependent signal is presented. The networks use a patterned set of delays to co...

“Neural” computation of decisions in optimization problems

Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit

We describe how several optimization problems can be rapidly solved by highly interconnected networks of simple analog processors. Analog-to-digital (A/D) conversion was conside...

Computing with Neural Circuits: A Model

A new conceptual framework and a minimization principle together provide an understanding of computation in model neural circuits. The circuits consist of nonlinear graded-respo...