shubhomb 5 points 1m ago
I'm thinking about pursuing a comp neuro PhD in between AI and neuroscience. I have a background in ECE/CS, and I have some experience in various ML projects, some involving neuroscience (ex. imaging projects in undergrad, neuro-inspired robotics in industry) as well as a few years of industry experience in a clinical trial for a neurodegenerative disease, that doesn't incorporate much ML, as well as leading an ML team for a nonprofit.
My research goal would be to compare emerging AI models with neural activity (ex. examining correlations between imaging/recordings of the brain for a task and comparing those to representations in DL models), and if I find a useful decoding maybe thinking about its application in a BMI. Furthermore, it seems neural reward systems and representations may have a part to play in how we think about general intelligence which I'm just fascinated to explore.
I'm curious as to how those with PhD's came to find their topic of research, and to what extent I need to have a better idea of what I'd research as I am applying: the above is where I'm at right now, and I'm not sure how much more I can specify before actually starting to do some research. I also have kind of a scattered background and no publications and I'm trying to figure out how to present a somewhat generalist background that hasn't been built in academia- if anyone else has/had a similar background, I'm eager to know how you dealt with that!