Search Results for author:
Found 1 papers, 0 papers with code
A Geometric Framework for Odor Representation
Beginning with the space of all possible inputs to the olfactory system, we develop a dynamic model for odor learning that culminates in a perceptual space in which categorical odor representations are hierarchically constructed through experience, exhibiting statistically appropriate consequential regions and clear relationships between the broader and narrower identities to which a given odor might be assigned.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
