DocumentCode :
2225111
Title :
Neurofunctional model of limbic influences on electroencephalographic correlates of selective attention governed by stimulus-novelty
Author :
Haab, Lars ; Trenado, Carlos ; Strauss, Daniel J.
Author_Institution :
Comput. Diagnostics & Biocybernetics Unit, Saarland Univ. Hosp., Homburg, Germany
fYear :
2009
fDate :
April 29 2009-May 2 2009
Firstpage :
710
Lastpage :
713
Abstract :
Multiple studies demonstrate the influence of the limbic system on the processing of sensory events and attentional guidance. But the mechanisms involved therein are yet not entirely clear. The close connection of handling incoming sensory information and memory retrieval, like in the case of habituation towards insignificant stimuli, suggests a crucial impact of the hippocampus on the direction of attention. In this paper we thus present a neurofunctional forward model of a hippocampal comparator function based on Vinogradovas theory of theta-regulated attention. Subsequently we integrated this comparator model into a multiscale framework for the simulation of evoked responses. The results of our simulations were compared to experimental data on electroencephalographic (EEG) correlates of habituation towards familiar stimuli. In consequence we are able to present additional evidence for limbic influences on the direction of attention driven by stimulus novelty and a functional framework for the statements given in the theta-regulated attention hypothesis.
Keywords :
cognition; electroencephalography; neurophysiology; EEG; Vinogradovas theory; attentional guidance; electroencephalographic correlates; hippocampal comparator function; limbic influence; memory retrieval; neurofunctional model; selective attention; sensory events; sensory information; theta-regulated attention; Biological materials; Biological system modeling; Brain modeling; Cybernetics; Electroencephalography; Hippocampus; Hospitals; Information retrieval; Lesions; Neural engineering; Attention; Comparator; Evoked Responses; Hippocampus; Oscillatory Model; Stimulus Novelty; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
Type :
conf
DOI :
10.1109/NER.2009.5109395
Filename :
5109395
Link To Document :
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