Cornell Research

Expertise

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

Distinction

Stephen J. Weiss Junior Fellow
Big Think Delphi Fellow
Association for Chemoreception Sciences Polak Young Investigator Award

Selected Publications

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