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PRODID:-//University of Utah Math Department//A population density approach that facilitates large-scale modeling of neural networks//EN
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X-WR-CALNAME:A population density approach that facilitates large-scale modeling of neural networks
X-WR-CALDESC:A population density approach that facilitates large-scale modeling of neural networks at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
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UID:20000210T160000-duane-nykamp@math.utah.edu
DTSTART;TZID=America/Denver:20000210T160000
DTEND;TZID=America/Denver:20000210T170000
DTSTAMP:20260922T150857Z
SUMMARY:A population density approach that facilitates large-scale modeling of neural networks
DESCRIPTION:Speaker: Duane Nykamp\, Courant Insitute\n\nThe neural networks of even small functional units in the brain are enormously complex. Conventional simulation methods, where one models thousands of individual neurons, can take large amounts of computer time even for models of small cortical areas. The population density approach can be used to …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2000-02-10-duane-nykamp/
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