S Grossberg - IEEE Transactions on Systems, Man, and …, 2020 - ieeexplore.ieee.org
This article surveys the development of mathematical laws, circuits, and architectures that model how our brains make our minds, and shows how these contributions provide a …
Identifying the structure of motion relations in the environment is critical for navigation, tracking, prediction, and pursuit. Yet, little is known about the mental and neural …
Motion relations in visual scenes carry an abundance of behaviorally relevant information, but little is known about how humans identify the structure underlying a scene's motion in the …
Scenes filled with moving objects are often hierarchically organized: the motion of a migrating goose is nested within the flight pattern of its flock, the motion of a car is nested …
Real-time detection of moving objects involves memorization of features in the template image and their comparison with those in the test image. At high sampling rates, such …
Cortical area MSTd contains cells sensitive to the radial expansion and contraction motion patterns experienced during forward and backward self-motion. We investigated the open …
Experimentalists tend to classify models of visual perception as being either local or global, and involving either feedforward or feedback processing. We argue that these distinctions …
S Grossberg - Frontiers in Psychology, 2023 - frontiersin.org
This article describes a biological neural network model that can be used to explain how children learn to understand language meanings about the perceptual and affective events …
S Grossberg - Frontiers in Neuroinformatics, 2020 - frontiersin.org
This article unifies neural modeling results that illustrate several basic design principles and mechanisms that are used by advanced brains to develop cortical maps with multiple …