Yerel örgülerin minimum yayilan agaçlari ile bilissel süreç betimleme

Translated title of the contribution: Cognitive process representation with minimum spanning tree of local meshes

Orhan Firat, Mete Özay, Itir Önal, Ilke Öztekin, Fatoş T. Yarman Vural

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, we propose a new graphical model, namely Cognitive Process Graph (CPG) for classifying cognitive processes. In CPG, first local meshes are formed around each voxel. Second, the relationships between a voxel and its neighbors in a local mesh, which are estimated by using a linear regression model, are used to form the edges among the voxels (graph nodes) in the CPG. Then, a minimum spanning tree (MST) of the CPG which spans all the voxels in the region of interest is computed. The arc weights of the MST are used to represent the underlying cognitive processes. Finally, the arc weights computed over the path of the MST called MST-Features (MST-F) are used to train a statistical learning machine. The proposed method is tested on a recognition memory experiment, including data pertaining to encoding and retrieval of words belonging to ten different semantic categories. Two popular classifiers, namely k- Nearest Neighbor (k-NN) and Support Vector Machine (SVM), are trained in order to predict the semantic category of the item being retrieved, based on activation patterns during encoding. The proposed method reduces the curse of dimensionality problem that is caused by very large dimension of the feature space of the fMRI measurements, compared to number of instances. The classification performance is also superior to the classical multi-voxel pattern analysis (MVPA) methods for the underlying cognitive process.

Translated title of the contributionCognitive process representation with minimum spanning tree of local meshes
Original languageTurkish
Title of host publication2013 21st Signal Processing and Communications Applications Conference, SIU 2013
DOIs
Publication statusPublished - 2013 Aug 5
Event2013 21st Signal Processing and Communications Applications Conference, SIU 2013 - Haspolat, Turkey
Duration: 2013 Apr 242013 Apr 26

Publication series

Name2013 21st Signal Processing and Communications Applications Conference, SIU 2013

Conference

Conference
CountryTurkey
CityHaspolat
Period13/4/2413/4/26

Keywords

  • Fmri
  • Mesh learning
  • Minimum spanning tree
  • Pattern recognition

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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