Neural modeling, functional brain imaging, and cognition.

Abstract:

:The richness and complexity of data sets acquired from PET or fMRI studies of human cognition have not been exploited until recently by computational neural-modeling methods. In this article, two neural-modeling approaches for use with functional brain imaging data are described. One, which uses structural equation modeling, estimates the functional strengths of the anatomical connections between various brain regions during specific cognitive tasks. The second employs large-scale neural modeling to relate functional neuroimaging signals in multiple, interconnected brain regions to the underlying neurobiological time-varying activities in each region. Delayed match-to-sample (visual working memory for form) tasks are used to illustrate these models.

journal_name

Trends Cogn Sci

authors

Horwitz B,Tagamets MA,McIntosh AR

doi

10.1016/s1364-6613(99)01282-6

subject

Has Abstract

pub_date

1999-03-01 00:00:00

pages

91-98

issue

3

eissn

1364-6613

issn

1879-307X

pii

S1364-6613(99)01282-6

journal_volume

3

pub_type

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