A molar entropy model of age differences in spatial memory 01-11-2014d2352

2014-08-29

"C:\Users\kurtw_000\Box Sync\DocDR\2014\01-11-2014d1247\A molar entropy model of age differences in spatial memory.pdf"

-this paper has some interesting facts about the history of entropy and its application to a variety of fields which I was not aware of before
-"molar neural network"
-"computational temperature"
-20 young adults (mean age 23.6 years old) and 20 older adults (mean age 69.6 years old)
-"The significant effect  of  age on entropy indicates that older
adults exhibited  more processing  variability"
-"These error data results suggest  that the primary locus of older
adults'  larger distance effect  was not at the encoding stage but
that  the  age  difference  was  spread  across  several  processing
stages  (e.g.,  Cerella,  1985b,  1991)."
-neuronal noise
-computational temperature of a neural network model
-" our model  assumes that  older  adults'  slower pro-
cessing  speed  is  a  by-product of  their increased  neural  noise
(or higher computational temperature)"

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