Events in the world are inherently multimodal. A ball bouncing provides correlated auditory and visual information to the senses. How are such events neurally represented? One possibility is that these distinct sources are integrated into a coherent percept of the event. Alternatively, auditory and visual information may be separably represented, but linked via semantic knowledge or their correlated temporal structure. We investigated this using event-related fMRI. Participants viewed and/or heard 2.5s environmental events, for example, paper ripping or door knocking, in two unimodal and three multimodal conditions: Auditory only (ripping sound) Visual only (movie of paper ripping) Congruent Auditory/Visual (sound + movie of same instance) ...
BACKGROUND: Efficient multisensory integration is of vital importance for adequate interaction with ...
In our daily life, we are often confronted with objects that give rise to signals in multiple sensor...
Semantic knowledge is supported by a widely distributed neuronal network, with differential patterns...
Every day we integrate meaningful information coming from different sensory modalities, and previous...
Multisensory interactions have been demonstrated in a distributed neural system encompassing primary...
To respond more quickly to events in natural environments the human brain merges information from mu...
The cortical integration of auditory and visual features is crucial for efficient object recognition...
Incongruencies between auditory and visual signals negatively affect human performance and cause sel...
Humans show a unique capacity to process complex information from multiple sources. Social perceptio...
To form categorical decisions about objects in our environment, the human brain accumulates noisy se...
Introduction Spatio-temporally coincident sensory signals usually emanate from the same event or obj...
To interact effectively with our environment, the human brain integrates information from multiple s...
The brain should integrate sensory inputs only when they emanate from a common source and segregate ...
Multisensory events in our natural environment unfold at multiple temporal scales over extended peri...
In everyday life, the perception of a moving object can lead to the expectation of an object’s sound...
BACKGROUND: Efficient multisensory integration is of vital importance for adequate interaction with ...
In our daily life, we are often confronted with objects that give rise to signals in multiple sensor...
Semantic knowledge is supported by a widely distributed neuronal network, with differential patterns...
Every day we integrate meaningful information coming from different sensory modalities, and previous...
Multisensory interactions have been demonstrated in a distributed neural system encompassing primary...
To respond more quickly to events in natural environments the human brain merges information from mu...
The cortical integration of auditory and visual features is crucial for efficient object recognition...
Incongruencies between auditory and visual signals negatively affect human performance and cause sel...
Humans show a unique capacity to process complex information from multiple sources. Social perceptio...
To form categorical decisions about objects in our environment, the human brain accumulates noisy se...
Introduction Spatio-temporally coincident sensory signals usually emanate from the same event or obj...
To interact effectively with our environment, the human brain integrates information from multiple s...
The brain should integrate sensory inputs only when they emanate from a common source and segregate ...
Multisensory events in our natural environment unfold at multiple temporal scales over extended peri...
In everyday life, the perception of a moving object can lead to the expectation of an object’s sound...
BACKGROUND: Efficient multisensory integration is of vital importance for adequate interaction with ...
In our daily life, we are often confronted with objects that give rise to signals in multiple sensor...
Semantic knowledge is supported by a widely distributed neuronal network, with differential patterns...