Discovering Structure in the Space of fMRI Selectivity Profiles
We present a method for discovering patterns of selectivity in fMRI data for experiments with multiple stimuli/tasks. We introduce a representation of the data as profiles of selectivity using linear regression estimates, and employ mixture model density estimation to identify functional systems wit...
Main Authors: | Lashkari, Danial, Vul, Edward, Kanwisher, Nancy, Golland, Polina |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Elsevier
2012
|
Online Access: | http://hdl.handle.net/1721.1/69952 https://orcid.org/0000-0003-3853-7885 https://orcid.org/0000-0003-2516-731X |
Similar Items
-
Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data
by: Lashkari, Danial, et al.
Published: (2016) -
Exploratory fMRI analysis without spatial normalization
by: Lashkari, Danial, et al.
Published: (2012) -
Recognition alters the spatial pattern of fMRI activation in early retinotopic cortex
by: Hsieh, Po-Jang, et al.
Published: (2012) -
In search of functional specificity in the brain : generative models for group fMRI data
by: Lashkari, Danial
Published: (2011) -
Modeling Adaptation Effects in fMRI Analysis
by: Ou, Wanmei, et al.
Published: (2014)