Multivariate classification of fMRI images

Functional Magnetic Resonance Imaging (fMRI) gives vast amount of information on the neural activity of the brain. Researchers analyse fMRI data to investigate the functions and structure of the brain. Using machine learning tools that have been widely used in recent years in fMRI area, has enabled to predict the cognitive states of subject which is called ldquobrain readingrdquo also. In this study, fMRI data is taken from Ishai et. al. who explored the representation of object categories in brain. By using Naive Gauss classifier and support vector machines, it is tried to identify the patterns of objects and by analyzing fMRG images prediction on the cognitive state of the subject is performed.