This title appears in the Scientific Report :
2001
Please use the identifier:
http://dx.doi.org/10.1038/35094565 in citations.
Dynamic predictions : oscillations and synchrony in top-down processing
Dynamic predictions : oscillations and synchrony in top-down processing
Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is c...
Saved in:
Personal Name(s): | Engel, A. K. |
---|---|
Fries, P. / Singer, W. | |
Contributing Institute: |
Institut für Medizin; IME |
Published in: | Nature reviews / Neuroscience, 2 (2001) S. 704 - 716 |
Imprint: |
London
Nature Publishing Group, a division of Macmillan Publishers Ltd
2001
|
Physical Description: |
704 - 716 |
PubMed ID: |
11584308 |
DOI: |
10.1038/35094565 |
Document Type: |
Journal Article |
Research Program: |
Zerebrale Repräsentation |
Series Title: |
Nature Reviews Neuroscience
2 |
Subject (ZB): | |
Publikationsportal JuSER |
Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top-down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing. |