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Meeting Abstract

Cross-modal influences on information processing in auditory cortex

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Kayser,  C
Research Group Physiology of Sensory Integration, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Kayser, C. (2008). Cross-modal influences on information processing in auditory cortex. In 9th International Multisensory Research Forum (IMRF 2008) (pp. 114).


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-C855-5
Abstract
Recent results from human imaging and electrophysiology promote the view that processing within auditory cortex can be influenced by crossmodal stimulation of other sensory modalities. Here we scrutinize the neuronal basis of these sensory interactions and ask whether they increase the information about the sensory environment available in neuronal responses. Recording field potentials and single unit responses in regions of the monkey auditory cortex we characterized the modulatory influence of visual stimuli on the responses to acoustic stimuli. While slow field
potentials showed widespread visual modulations, only few individual neurons exhibited significant multisensory interactions, such as response enhancement or suppression. The visual modulation occurred only for a narrow time window of stimulus onset asynchronies and was independent
of the particular kind of stimulus used. Using information theoretic analysis, we found that visual stimuli do not change the information in neuronal firing rates about the acoustic stimulus. However, visual modulation increased
the information available in slow field potentials and in the phase of firing of individual neurons. Our results let us conclude that cross-modal input enhances the information available in auditory cortex about the environment and that this information is available not in the response
strength of individual neurons but in a temporal neural code.