nancykanwisher

5 ms·

1.
by nancykanwisher 8y ago
Sorry, I did not cover the motor system in the course.
2.
by nancykanwisher 8y ago
Here is one cool example: https://www.sciencedirect.com/science/article/pii/S089662731... And this one I have not read but is by reputable people in a good journal and looks fun: https://www.scien
3.
by nancykanwisher 8y ago
As the Marr intro chapter explains so beautifully, there are many levels of analysis in cognitive science and cognitive neuroscience. Units in deep nets are very different from actual neurons, and the backprop methods used to train deep net
4.
by nancykanwisher 8y ago
It is really the intro and first chapter of Marr's book that is still totally current. The rest of the book is brilliant but less representative of current thinking.
5.
by nancykanwisher 8y ago
It depends what you mean by "understand" :-) On many interpretations, we understand none of it!
6.
by nancykanwisher 8y ago
So glad to hear it, thank you. Do let me know if you encounter bits that are not clear or if you see ways the lectures could be improved. BTW the lectures were all originally 1 hour and 25 minutes - I just broke them into pieces because eve
7.
by nancykanwisher 8y ago
This is not a course per se, but there are a lot of good, cutting edge videos by major players in the field here: https://cbmm.mit.edu/videos
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by nancykanwisher 8y ago
Sounds like you got it, more or less. Current views of how object recognition works in the brain are a lot like current deep net models of object recognition (e.g. Alexnet and beyond): a heirarchical series of processing steps in which unit
9.
by nancykanwisher 8y ago
Thank you! It means so much to me that some people are appreciating these lectures. I knocked myself out all spring preparing this course, and it was quite a gut punch to read my course evaluations a few days ago, which ere pretty negative.
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by nancykanwisher 8y ago
Hi all- I am so psyched to see that some are finding the videos interesting! Do send comments if you have them. cheers, Nancy