J. J. Hopfield

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...

Olfactory computation and object perception.

Animals that are primarily dependent on olfaction must obtain a description of the spatial location and the individual odor quality of environmental odor sources through olfacti...

From molecular to modular cell biology

Neural networks and physical systems with emergent collective computational abilities.

Computational properties of use of biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equiva...

“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...

Neurons with graded response have collective computational properties like those of two-state neurons.

A model for a large network of "neurons" with a graded response (or sigmoid input-output relation) is studied. This deterministic system has collective properties in very close ...

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...