200 citations · 210 across the 4 of their papers we have counts for
4 papers
A Geometric Framework for Odor Representation
Jack A. Cook, Thomas A. Cleland
We present a generalized theoretical framework for olfactory representation and plasticity, using the theory of smooth manifolds and sheaves to depict categorical odor learning via…
2022 Roadmap on Neuromorphic Computing and Engineering
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco +56
Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In the Von Neumann architecture, processing and memory units are implemented as sep…
Signal Conditioning for Learning in the Wild
Ayon Borthakur, Thomas A. Cleland
The mammalian olfactory system learns rapidly from very few examples, presented in unpredictable online sequences, and then recognizes these learned odors under conditions of subst…
Rapid online learning and robust recall in a neuromorphic olfactory circuit
Nabil Imam, Thomas A. Cleland
We present a neural algorithm for the rapid online learning and identification of odorant samples under noise, based on the architecture of the mammalian olfactory bulb and impleme…