Adaptive Resonance Theory, or ART, is a cognitive and neural theory of how the brain autonomously learns to categorize, recognize, and predict objects and events in a changing …
Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological …
A neural network architecture for the learning of recognition categories is derived. Real-time network dynamics are completely characterized through mathematical analysis and …
An historical discussion is provided of the intellectual trends that caused nineteenth century interdisciplinary studies of physics and psychobiology by leading scientists such as …
P Smolensky - Behavioral and brain sciences, 1988 - cambridge.org
A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional …
DJ Field, A Hayes, RF Hess - Vision research, 1993 - Elsevier
The Gestalt law of “good continuation” has been used to describe a variety of phenomena demonstrating the importance of continuity in human perception. In this study, we consider …
Human visual perception carves a scene at its physical joints, decomposing the world into objects, which are selectively attended, tracked and predicted as we engage our …
H Leventhal, K Scherer - Cognition and emotion, 1987 - Taylor & Francis
We first review the main points in the dispute about whether emotion is primary and independent of cognition (Zajonc), or secondary and always dependent upon cognition …
JK O'regan - Canadian Journal of Psychology/Revue canadienne …, 1992 - psycnet.apa.org
À ľheure actuelle, de nombreux travaux sont exécutés dans le domaine de la perception visuelle et des progres considérables sont réalisés en ce qui concerne la vision des …