How the brain generates visual percepts is a central problem in neuroscience. We propose
a detailed neural model of how lateral geniculate nuclei and the interblob cortical stream …

This article develops the FACADE theory of 3-dimensional (3-D) vision and figure–ground
separation to explain data concerning how 2-dimensional pictures give rise to 3-D percepts …

This paper describes CAVIAR, a massively parallel hardware implementation of a spike-
based sensing-processing-learning-actuating system inspired by the physiology of the …

This thoroughly, thoughtfully revised edition of a very successful textbook makes the
principles and the details of neural network modeling accessible to cognitive scientists of all …

The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …

A new methodology for automatic mapping from Landsat thematic mapper (TM) and terrain
data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are …

A neural network model is developed to explain how visual thalamocortical interactions give
rise to boundary percepts such as illusory contours and surface percepts such as filled-in …

We present a scheme for implementing highly-connected, reconfigurable networks of
integrate-and-fire neurons in VLSI. Neural activity is encoded by spikes, where the address …

The recognition of three-dimensional (3-D) objects from sequences of their two-dimensional
(2-D) views is modeled by a family of self-organizing neural architectures, called VIEWNET …

We present a neuromorphic cortical-layer processing microchip for address event
representation (AER) spike-based processing systems. The microchip computes 2-D …