Computational algorithms and neural circuitry for compressed sensing in the mammalian main olfactory bulb
Daniel R. Kepple, Brittany N. Cazakoff, Heike S. Demmer, Dennis Eckmeier, Stephen D. Shea, Alexei A. Koulakov
The paper proposes a compressed sensing algorithm in the mammalian main olfactory bulb using computational modeling and electrophysiological data, showing it can efficiently represent odors and adapt to odor mixtures.
bioRxiv · Jun 5, 2018 · PreprintNeuroscience