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On_The_Edge 05/05/18 11:22:28 AM #1: |
I have to write a term paper for this class
Anyone want to suggest an interesting topic and/or some studies? --- We're here. https://discord.gg/Q9K3ndP ... Copied to Clipboard!
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BornIn1142 05/05/18 11:25:21 AM #2: |
Have you read The Man Who Mistook His Wife for a Hat? There's a bunch of very interesting case studies there that might lead you to wider subjects.
Edit: Then again, probably mostly neurological than neurophysiological. --- Look! It's Enrico Palazzo! ... Copied to Clipboard!
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boxington 05/05/18 11:27:19 AM #3: |
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On_The_Edge 05/05/18 11:43:46 AM #4: |
BornIn1142 posted...
Have you read The Man Who Mistook His Wife for a Hat? There's a bunch of very interesting case studies there that might lead you to wider subjects. Yea I'm familiar with it, not really on topic though. I need something more cellular --- We're here. https://discord.gg/Q9K3ndP ... Copied to Clipboard!
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Coffeebeanz 05/05/18 11:51:35 AM #5: |
How about prion diseases and spongiform encephalopathies?
--- Physician [Internal Medicine] ... Copied to Clipboard!
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COVxy 05/05/18 11:52:07 AM #6: |
I would just go into the tradeoffs in modelling between model complexity and biological plausibility.
--- =E[(x-E[x])(y-E[y])] ... Copied to Clipboard!
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C_Pain 05/05/18 11:55:02 AM #7: |
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COVxy 05/05/18 2:14:12 PM #8: |
Gross.
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On_The_Edge 05/05/18 2:41:04 PM #9: |
COVxy posted...
I would just go into the tradeoffs in modelling between model complexity and biological plausibility. Can you be more specific? I don't know anything about cellular level stuff, nor do I have much interest. Not even sure I've ever heard about that. Can you give me a starting point or a review paper or something? --- We're here. https://discord.gg/Q9K3ndP ... Copied to Clipboard!
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COVxy 05/05/18 2:59:57 PM #10: |
I mean, it's really broad, but for instance, the Huxley model vs. integrate and fire neuron.
The Huxley model is far to complex with too many parameters to be of much use mathematically, but the integrate and fire model is approachable. However, you miss key aspects of neurophysiology with it. So, the paper I'm imagining discusses the trade offs between biological plausibility and rigorous computational theory. Essentially you can talk about features that are missed by certain models and certain general principles and systems that wouldn't have been discovered if not for a simpler model. It's kind of an optimal term paper because the underlying discussion is rooted in a philosophy of science. --- =E[(x-E[x])(y-E[y])] ... Copied to Clipboard!
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