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20 November 2018: Jack Cook
- Cook J, Cleland TA (in prep) The geometry of olfactory learning.
- It's pretty mathy (the fleshing-out text has yet to be added) but the gist is that this is a formal way to model the learning of odor signals, including their natural variance, and how this learning process enables the learning of real-world odors as dynamically constructed discrete categories.
27 November 2018: Mary Elson
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