• 1
  • 1
  • 6
  • 5
  • 6
  • 3
  • 4

“School of Cognitive Sciences”

Back to Papers Home
Back to Papers of School of Cognitive Sciences

Paper   IPM / Cognitive Sciences / 13634
School of Cognitive Sciences
  Title:   Predicting brain states associated with object categories from fMRI data
  Author(s): 
1.  M. Behroozi
2.  M.R. Daliri
  Status:   Published
  Journal: Journal of Integrative Neuroscience
  No.:  4
  Vol.:  13
  Year:  2014
  Pages:   1-23
  Supported by:  IPM
  Abstract:
Recently, the multivariate analysis methods have been widely used for predicting the human cognitive states from fMRI data. Here, we explore the possibility of predicting the human cognitive states using a pattern of brain activities associated with thinking about concrete objects. The fMRI signals in conjunction with pattern recognition methods were used for the analysis of cognitive functions associated with viewing of 60 object pictures named by the words in 12 categories.
The important step in Multi Voxel Pattern Analysis (MVPA) is feature extraction and feature selection parts. In this study, the new feature selection method (accuracy method) was developed for multi-class fMRI dataset to

Download TeX format
back to top
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
scroll left or right