Thomas A. Cleland
Olfactory sensory processing; neural coding and representation; computational neuroscience; behavioral phenotyping; learning and memory systems
Current Research Interest
Distributed neural mechanisms of naturalistic, incremental odor learning, particularly in service to source segregation; spike timing-dependent metrics of information transfer in the brain; biomimetic algorithms for artificial olfaction
Stephen J. Weiss Junior Fellow
Big Think Delphi Fellow
Association for Chemoreception Sciences Polak Young Investigator Award
Li, Guoshi and Thomas A. Cleland. "A Coupled-Oscillator Model of Olfactory Bulb Gamma Oscillations." PLoS Computational Biology 13, no. 11 (2017): e1005760.
Cleland, Thomas A. “Construction of Odor Representations by Olfactory Bulb Microcircuits.” Progress in Brain Research 208 (2014): 177-203.
Cornell Research Website Article
Learning, Memory, and the Sense of Smell