Brain fMRI Image Classification and Statistical Representation of Visual Objects

The application of the given paper work is to estimate what image a human brain is visually perceiving based on the neuroimaging information observed from the ventral temporal cortex (VT) portion. In the process, we used the nilearn library from python repository along with the haxby dataset which includes a set of functional MRI from 6 subjects viewing images that contains a grid of black and white pictures of some certain objects. Firstly, the haxby dataset was collected and few pre-processing steps such as masking, scaling and smoothing was done in order to reduce the complexity, noise and to standardize the data. Furthermore, the entire dataset was splitted into 80% of training example and 20% of test example. After that,…