For your first blog post, tell us about your project! Tell us why you're interested, how your idea(s) have changed over time, what you hope to accomplish by the end.
My project is in the field of Computational Neuroscience, or CN for short, which means that it is in both the field of Computer Science and Neuroscience. While this might seem obvious to most readers, I wanted to bring this up primarily due to the fact that my current obstacle is making my project more centered in the field of CS.
But first, let me briefly describe what my project is why I am interested in this project.
I am planning to present a literature review on the effectiveness of current computational models used to diagnose, monitor, and treat diseases and disorders such as Parkinson’s, Alzheimer’s, and epilepsy.
This field of CN is interesting to me because it incorporates diverse approaches from computer science, mathematics, and physics. While huge progress has been made in the understanding of the brain and nervous system, there are many questions that can only tackle by combined efforts of various fields: How does the brain work? What are the biological mechanisms involved? What if the effect of damage to particular areas and the possibilities of rehabilitation? What are the origins of degenerative diseases and possible treatments? The discovery and understanding of how the brain and nervous systems works can spark new innovations and ideas.
Advancements in CN can also benefit the entire world medically, by saving more lives through early detection and diagnosis. CN researchers utilize computational models and analysis to reverse engineer the brain and understand how it works. The result will be a better understanding of our reality, an improved development of AI and medical technologies, and a huge impact in our way of living.
What I describe above is a summary of why CN is an exciting field to study. Knowing this, I want to be able to educated myself and discuss how Computer Science plays an important role within this field. Luckily for me, CN relies on the use of computational models in order to understand how the brain works. The more I read about CN and CS, the more I learned the significance of each field. This happened to be dangerous for my project.
What I discovered and researched sounded educational and incredibly complex, which was what I originally had aimed for. However, I realized that my project became too involved in the importance of WHY computational models mattered rather than WHAT these models did. Here's how I came to that roadblock:
I had first realized my roadblock after I had received my peer reviews back from Justin on the first couple days of class. Here are some examples of some of the responses I received which triggered my realization of this obstacle.
- "Also, at times, this proposal seems as if it was made for a cogsci comps and not compsci."
- "I'm not sure I see exactly where the computer science part is here. It seems like a cog sci (maybe) comps project that has computers in it."
After reading these comments as well as reviewing other projects which involved actual coding, I agreed completely with my peer reviewers. Let me break down some ways I thought about fixing this issue:
- Possibly focus on one disease and analyze the computational models more heavily.
- Focus on what the models do rather than why they are important using technical/CS related terms.
So my next step involve figuring out how to structure my project to make it more in the CS field. Then, I can dive deeper into each model and determine what they do line-by-line or by section. After that, I will create a credible guideline so that I can compare each model consistently.
Of course, any additional insights or advice on what you might think will help gear my project more towards the field of Computer Science and not towards Cog Sci.
- Unknown Type