NETWORK OPTIMIZATION IN THE BRAIN [II, 2000]: Cerebral Cortex Layout
NETWORK OPTIMIZATION IN THE BRAIN [II, 2000]: Cerebral Cortex Layout
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Date
2003-09-25
Authors
Cherniak, Christopher
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Abstract
The hypothesis is that longrange connections in the brain are a critically
constrained resource, hence there is strong selective pressure to optimize
finely their deployment, to "minimize wire." Two methodological ideas are
introduced: (1) Because of unfeasibility of measuring wirelengths in the
cortex, a simpler adjacency-cost was validated. (2) To deal with
incomplete information on brain networks, a Size Law was developed that
predicts optimization patterns in subnetworks. Sensory areas of macaque
and of cat cortex appear to be positioned to minimize connection costs, in
some cases down to current limits of detectability. These optimization
results begin to approach some of the most precise confirmed predictions
in neuroscience. [ MH49867 2/00 68.3 ]
(UMIACS-TR-2003-93)