Ben Gincley’s annotated bibliography researches technologies and techniques associated with the ever-developing field of neural engineering. I liked his bibliography in that it drew on different areas to solve neural engineering problems (machine recalibration, neural signal propagation through closed eyelids, use of dura mater for neural devices, etc.) while mine was more general in scope.
In each of his annotations, he gave the procedure of the study and also the actual application, which helped tie the subject together. On at least one of my annotations, I separated the application from the research. I noticed he had a source with research associated with Northeastern too. That was good to place the subject in perspective, and I feel that I should have looked into more local sources for my topic. I referenced the ReGame VR Lab, but I didn’t take a source from studies they’ve already conducted. Additionally, how he briefly explained technical jargon made the read understandable for those unfamiliar with the field. He also provided better backgrounds for the authors of the articles by citing their relevance to the problem. Our subjects were similar in that it covered concepts for rehabilitation and drew from different disciplines to solve the problem.
We followed the same markup schema. Our sources were scientific articles and were cited with APA. All of his “relevance” sections were tagged with “application.” Unlike me, he updated the version tag as he wrote. Overall, the formatting made it easier to follow.
