Automatic quantification and classification of leukocytes in microscopic images are of
paramount importance in the perspective of disease identification, its progress and drugs …

A key goal of behavioral and cognitive neuroscience is to link brain mechanisms to
behavioral functions. The present article describes recent progress toward explaining how …

When you think about how far and fast computer science has progressed in recent years, it's
not hard to conclude that a seven-year old handbook may fall a little short of the kind of …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

How do listeners integrate temporally distributed phonemic information into coherent
representations of syllables and words? For example, increasing the silence interval …

How do humans rapidly recognize a scene? How can neural models capture this biological
competence to achieve state-of-the-art scene classification? The ARTSCENE neural system …

A neural model called dARTEX is proposed of how laminar interactions in the visual cortex
may learn and recognize object texture and form boundaries. The model unifies five …

Abstract Objects vary not only in their shape but also in the material from which they are
made. Knowledge of the material properties can contribute to object recognition as well as …

Visual object recognition is an essential accomplishment of advanced brains. Object
recognition needs to be tolerant, or invariant, with respect to changes in object position, size …

How do the laminar circuits of visual cortical areas V1 and V2 implement context-sensitive
binding processes such as perceptual grouping and attention, and how do these circuits …