Proposed methods
We will use OpenFMRI data collected from the OpenfMRI database of functional MRI data (accession number ds000113d). The initial includes data from n-back, fixation, and retinoic mapping tasks;
Identify data and tools you will use for your study. Decide what statistical methods you will use to evaluate your results. Think about the key tasks that need to be completed. Break those tasks down into manageable chunks. If you are working as a team, who will complete which tasks? How will you address pitfalls that may arise?
Proposed results
Our data will contain the following tables and figures:
1. A bar graph comparing the accuracy of several different machine learning methods
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As described in the
expectations and grading criteria, your final written report must include six display objects (figures or tables). In the current document, you should list what each of these display objects will be. What information will be displayed? What will be the key message of the display object? What analysis steps will be required to generate these display objects?
In a few weeks, the
Milestone Results assignment will be due. In the current document, please indicate which 2 of your display objects that you will include in your Milestone report.
References
As mentioned above, this document should contain a properly formatted references section at the end.
Grading
Your grade will depend on the quality of the proposed research and the writing content/style of this report. Additional criteria are listed below:
Whether you have included the information requested above.
Whether you have clearly described the proposed hypothesis/question/goal, proposed methods, and the proposed results.
Suitability of data and methods for the analysis.
How well you have communicated your ideas:
Organization and logical progression of ideas
Lack of spelling or grammar errors
Clean and consistent formatting
How well you have described prior studies and related them to your proposed research.