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Predicting human functional maps with neural net modeling (1999)
| Venue: | Human Brain Mapping |
| Citations: | 20 - 3 self |
BibTeX
@ARTICLE{Horwitz99predictinghuman,
author = {Barry Horwitz and M. -a. Tagamets},
title = {Predicting human functional maps with neural net modeling},
journal = {Human Brain Mapping},
year = {1999},
pages = {137--142}
}
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Abstract
r r Abstract: Formidable difficulties exist in interpreting positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) hemodynamic signals in terms of the underlying neural activity. These include issues of spatial and temporal resolution and problems relating neuronal activity (i.e., action potentials) measured in nonhuman studies by single unit electrodes to hemodynamic measurements reflecting synaptic activity. Also, regional hemodynamic measurements correspond to a mixture of local and afferent synaptic activity. To surmount these difficulties, we propose using large-scale neurobiologi-cally realistic models in which data at various spatial and temporal levels can be simulated and cross-validated by multiple disciplines, including functional neuroimaging. A delayed match-to-sample visual task is used to illustrate this approach. Hum. Brain Mapping 8:137–142, 1999. r 1999 Wiley-Liss, Inc. Key words: brain; positron emission tomography; functional magnetic resonance imaging; computational neuroscience; cognition r r
Keyphrases
neural net modeling human functional map functional magnetic resonance imaging synaptic activity action potential temporal level single unit electrode regional hemodynamic measurement correspond multiple discipline functional neuroimaging realistic model underlying neural activity nonhuman study neuronal activity positron emission tomography temporal resolution afferent synaptic activity emission tomography delayed match-to-sample visual task hemodynamic signal computational neuroscience key word formidable difficulty
