Cerebral Cortex, Vol 8, 310-320, Copyright © 1998 by Oxford University Press
MA Tagamets and B Horwitz
We propose a model that draws together experimental evidence from
anatomical, electrophysiological and imaging experiments in order to
understand better the neural substrate of human imaging studies using
positron electron tomography (PET) and functional magnetic resonance
imaging (fMRI). First, we define a simple local circuit that reflects the
major role that local connectivity plays in producing PET and fMRI data,
which are thought to mainly reflect synaptic activity. Second, in order to
account for the role of varying behaviors during the course of a typical
imaging experiment, we propose a local circuit that can perform a delayed
match-to-sample task. The elements of this circuit behave very much like
neurons that have been found in the prefrontal cortex during similar tasks
in monkeys. One subpopulation responds selectively only when stimuli are
present. Two different populations show the two types of delay-period
activity that have been identified, one with high activity both during the
cue and the delay period, the other with a rise during the delay period
only. Last, a subpopulation shows a brief response only if the second
stimulus matches the first, thus mediating the decision about whether the
stimuli match. We show that in addition to performing the task, the
integrated summed synaptic activities of the model are similar to
experimental PET data.
ARTICLES
Integrating electrophysiological and anatomical experimental data to create a large-scale model that simulates a delayed match-to-sample human brain imaging study
Laboratory of Neurosciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA. malle@giccs.georgetown.edu
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