The repetitive stochastic patterns of eye dominance and orientation preference found in the
mammalian visual cortex have attracted much attention from theoretical neurobiologists …

In order to understand how the mammalian neocortex is performing computations, two
things are necessary; we need to have a good understanding of the available neuronal …

Computational models in cognitive neuroscience should ideally use biological properties
and powerful computational principles to produce behavior consistent with psychological …

This is the first book to take a truly comprehensive look at clustering. It begins with an
introduction to cluster analysis and goes on to explore: proximity measures; hierarchical …

An architecture of locally excitatory, globally inhibitory oscillator networks is proposed and
investigated both analytically and by computer simulation. The model for each oscillator …

We study image segmentation on the basis of locally excitatory, globally inhibitory oscillator
networks (LEGION), whereby the phases of oscillators encode the binding of pixels. We …

In spite of the advances in recognition technology, handwritten Hangul recognition (HHR)
remains largely unsolved due to the presence of many confusing characters and excessive …

Habituation and sensitization represent nonassociative learning mechanisms in both non‐
neural and neural organisms. They are essential for a range of functions from survival to …

The discovery of long range synchronous oscillations in the visual cortex has triggered much
interest in understanding the underlying neural mechanisms and in exploring possible …

This article proposes an unsupervised address event representation (AER) object
recognition approach. The proposed approach consists of a novel multiscale spatio …