Chris Baldassano
Project Title - Identifying ROIs using SVM Performance
Intro
Background
Scene Processing
References
Support Vector Machines
Basics and training
Complementary Connectivity
Bangpeng's Paper
Methods
Data Acquisition
The data used is from the experiment described in [1]. Subjects passively viewed color images of six types of natural scenes: beaches, buildings, forests, highways, industry, and mountains). The stimuli were presented in a block design, with each block composed of 10 images from the same category displayed for 1.6 seconds each (8 brain acquisitions were made during each block). The subject viewed 12 runs of images, with each run composed of six blocks separated by 12 second fixation periods. (The original study also collected 12 runs with inverted images, but this data was not used for the current experiment).
Data Analysis
I obtained the data List processing steps carried out (SVM, conversion, warping, connectivity)
Results - What you found
Searchlight Results
Connectivity Results
Some text. Some analysis. Some figures.
Conclusions
Here is where you say what your results mean.
References - Resources and related work
[1] D.Walther, E. Caddigan, L. Fei-Fei*, D. Beck*. Natural scene categories revealed in distributed patterns of activity in the human brain. The Journal of Neuroscience, 29(34):10573-10581, 2009 (*indicates equal contribution)
Software