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I work in a lab with EEG and FMRI primarily writing software for neural feedback which involves a lot dsp and physics, and considering that spike timing is a pr
by cinquemb 12y ago
I work in a lab with EEG and FMRI primarily writing software for neural feedback which involves a lot dsp and physics, and considering that spike timing is a predominant theory in (comp)neuroscience today (and has been for nearly 40 years, yet no more fundamental understanding… go figure…), I think it would be an understatement to say that the level mathematical and physics rigor/theory applied by most people in the field is considerably lacking… if not a joke compared to what physicists/astrophysicists have had to deal with and have proven by experimentation in much nosier environments in the same time frame. I really see the field bifurcating with people doing more of the same, and those who want to import experience of modern physics…
- shas3 12y agoI am aware of theoretical physicists applying statistical mechanical principles to understand neurons and biological neural networks (one example: [1]). This is a reasonably hot topic in bio-physics. I am also aware of researchers who are applying state of the art high-dimensional data analysis to MRI, etc. (one example: [2]). I would modify your assertion to: "this kind of application of high-level physics and math should be more common." [1] https://web.stanford.edu/dept/app-physics/cgi-bin/person/surya-gangulijanuary-2012/ https://web.stanford.edu/dept/app-physics/cgi-bin/person/sur... [2] http://jelena.ece.cmu.edu/bimagic.html http://jelena.ece.cmu.edu/bimagic.html
- cinquemb 12y agoThat is certainly a more diplomatic way of putting it, and I will try to use such language in the future because its probably a lot more conductive in exploring such with those who are interested but reluctant.