BACKGROUND Previous research has shown that object recognition may develop well into late childhood and adolescence. The present study extends that research and reveals novel differences in holistic and analytic recognition performance in 7-12 year olds compared to that seen in adults. We interpret our data within a hybrid model of object recognition that proposes two parallel routes for recogn...

An appreciation of object-centred spatial relations involves representing a 'within-object' spatial relation across changes in the object orientation. This representational ability is important in adult object recognition [Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review, 94, 115-147; Marr, D., & Nishihara, H. K. (1978). Representation...

We have recently introduced a novel approach to sonarbased object recognition for robotics. The sonar recognition system—consisting of a Polaroid sonar coupled with an A/D data acquisition board in a LINUX-based PC— uses a fuzzy ARTMAP neural network classification system to recognize objects at varying distances. In this article we report additional results in which we test systematically reco...

Introduction: Previous studies demonstrated that forced and voluntary exercise had ameliorative effects on behavioral tasks followed by Sleep Deprivation (SD) in intact female rats. The main goal of this research was evaluating the impact of voluntary exercise on cognitive functions while SD and ovariectomization is induced in female wistar rats. Methods: The rats were anesthesized combining d...

Although both the object and the observer often move in natural environments, the effect of motion on visual object recognition ha not been well documented. The authors examined the effect of a reversal in the direction of rotation on both explicit and implicit memory for novel, 3-dimensional objects. Participants viewed a series of continuously rotating objects and later made either an old-new...

A novel concept is proposed that uses active information gathering for recognizing objects on images. This novel concept mimics recent neurobiological insights on human control of eye movements (TD algorithm). TD algorithms are predictive reinforcement algorithms for learning of action sequences. In the proposed framework, standard techniques, such as template matching, are used as processing s...

We present LCAV-31, a multi-view object recognition dataset designed specifically for benchmarking light field image analysis tasks. The principal distinctive factor of LCAV-31 compared to similar datasets is its design goals and availability of novel visual information for more accurate recognition (i.e. light field information). The dataset is composed of 31 object categories captured from or...

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS) characterized by inflammatory and neurodegenerative processes. One of its pathophysiological hallmarks is demyelination, a consequence of oligodendroglial cell death leading supply shortfall and missing electrical insulation to axons. Demyelination induced consequences on neuronal network activity and subsequen...