Add to ORKGBy constructing and analyzing a physically situated brain-based device (i.e. a device with sensors and actuators whose behavior is guided by a simulated nervous system), we show that reentrant connectivity and dynamic synchronization can provide an effective mechanism for binding the visual features of objects
The visual system analyses information by decomposing complex objects into simple components (visual...
Real-world objects are often endowed with features that violate Gestalt principles. In our experimen...
Neuroscience is progressing vigorously, and knowledge at different lev-els of description is rapidly...
Effective visual object recognition requires mechanisms to bind object features (e.g. color, shape a...
Effective visual object recognition requires mechanisms to bind object features (e.g. color, shape a...
Neurons at early stages of the visual cortex signal elemental features, such as pieces of contour, b...
The development of the issue of binding as fundamental to neural dynamics has made possible recent a...
A key problem in cognitive science concerns how the brain binds together parts of an object into a c...
We present a biologically plausible model of an attentional mechanism for forming position- and scal...
SummaryA central motif in neuronal networks is convergence, linking several input neurons to one tar...
Cognitive functions like perception, memory, language, or consciousness are based on highly parallel...
Objects have different features such as color, shape, sound, and smell. Some, such as color and soun...
Visual binding is the process by which the brain groups the elements belonging to one object, whilst...
We propose a binding-by-synchrony model that achieves visual object perception by binding stimuli wi...
Visual binding is the process by which the brain groups the elements belonging to one object, whilst...
The visual system analyses information by decomposing complex objects into simple components (visual...
Real-world objects are often endowed with features that violate Gestalt principles. In our experimen...
Neuroscience is progressing vigorously, and knowledge at different lev-els of description is rapidly...
Effective visual object recognition requires mechanisms to bind object features (e.g. color, shape a...
Effective visual object recognition requires mechanisms to bind object features (e.g. color, shape a...
Neurons at early stages of the visual cortex signal elemental features, such as pieces of contour, b...
The development of the issue of binding as fundamental to neural dynamics has made possible recent a...
A key problem in cognitive science concerns how the brain binds together parts of an object into a c...
We present a biologically plausible model of an attentional mechanism for forming position- and scal...
SummaryA central motif in neuronal networks is convergence, linking several input neurons to one tar...
Cognitive functions like perception, memory, language, or consciousness are based on highly parallel...
Objects have different features such as color, shape, sound, and smell. Some, such as color and soun...
Visual binding is the process by which the brain groups the elements belonging to one object, whilst...
We propose a binding-by-synchrony model that achieves visual object perception by binding stimuli wi...
Visual binding is the process by which the brain groups the elements belonging to one object, whilst...
The visual system analyses information by decomposing complex objects into simple components (visual...
Real-world objects are often endowed with features that violate Gestalt principles. In our experimen...
Neuroscience is progressing vigorously, and knowledge at different lev-els of description is rapidly...