Cortical Synchronization and Perceptual Framing [PDF]
, 1994 How does the brain group together different parts of an object into a coherent visual object representation? Different parts of an object may be processed by the brain at different rates and may thus become desynchronized. Perceptual framing is a process
Grossberg, Stephen, Gruenwald, Alexander
core +1 more source
A Neural Theory of Attentive Visual Search: Interactions of Boundary, Surface, Spatial, and Object Representations [PDF]
, 1994 Visual search data are given a unified quantitative explanation by a model of how spatial maps in the parietal cortex and object recognition categories in the inferotemporal cortex deploy attentional resources as they reciprocally interact with visual ...
Grossberg, Stephen +2 more
core +2 more sources
Frequency-Dependent Phase Transitions in the Coordination of Human Bimanual Tasks [PDF]
, 1993 The 2-channel Ellias-Grossberg neural pattern generator of Cohen, Grossberg, and Pribe [1] is shown to simulate data from human bimanual coordination tasks in which anti-phase oscillations at low frequencies spontaneously switch to in-phase oscillations ...
Cohen, Michael A. +2 more
core +1 more source
A Neural Network Architecture for Figure-ground Separation of Connected Scenic Figures [PDF]
, 1991 A neural network model, called an FBF network, is proposed for automatic parallel separation of multiple image figures from each other and their backgrounds in noisy grayscale or multi-colored images.
Grossbergy, Stephen, Wyse, Lonce
core +2 more sources
Fast Synchronization of Perpetual Grouping in Laminar Visual Cortical Circuits [PDF]
, 2004 Perceptual grouping is well-known to be a fundamental process during visual perception, notably grouping across scenic regions that do not receive contrastive visual inputs. Illusory contours are a classical example of such groupings.
Grossberg, Stephen, Yazdanbakhsh, Arash
core +1 more source
Alpha Unpredictable Cohen–Grossberg Neural Networks with Poisson Stable Piecewise Constant Arguments
MathematicsThere are three principal novelties in the present investigation. It is the first time Cohen–Grossberg-type neural networks are considered with the most general delay and advanced piecewise constant arguments.
Marat Akhmet +2 more
doaj +1 more source
ARSTREAM: A Neural Network Model of Auditory Scene Analysis and Source Segregation [PDF]
, 1997 Multiple sound sources often contain harmonics that overlap and may be degraded by environmental noise. The auditory system is capable of teasing apart these sources into distinct mental objects, or streams.
Grossberg, Stephen +3 more
core
Cortical Dynamics of Contextually-Cued Attentive Visual Learning and Search: Spatial and Object Evidence Accumulation [PDF]
, 2009 How do humans use predictive contextual information to facilitate visual search? How are consistently paired scenic objects and positions learned and used to more efficiently guide search in familiar scenes?
Grossberg, Stephen, Huang, Tsung-Ren
core +4 more sources
A Neural Theory of Visual Search: Recursive Attention to Segmentations and Surfaces [PDF]
, 1993 A neural theory is proposed in which visual search is accomplished by perceptual grouping and segregation, which occurs simultaneous across the visual field, and object recognition, which is restricted to a selected region of the field. The theory offers
Grossberg, Stephen +2 more
core +1 more source
An Integrated Neural Network-Event-Related Potentials Model of Temporal and Probability Context Effects on Event Categorization [PDF]
, 1992 We present a neural network that adapts and integrates several preexisting or new modules to categorize events in short term memory (STM), encode temporal order in working memory, evaluate timing and probability context in medium and long term memory ...
Banquet, Jean-Paul +1 more
core +1 more source