Proceedings of the National Academy of Sciences of the United States of America

About the PNAS Member Editor
Name Abbott, Larry
Location Columbia University
Primary Field Systems Neuroscience
Secondary Field Physics
 Election Citation
Abbott is a physicist turned neuroscientist who is a leader in computational neuroscience. He does innovative theoretical work at the highest level while attacking problems that are directly applicable to experimental neuroscience. His insights have changed our views of the roles of short and long term activity-dependent changes in neural circuits.
 Research Interests
Larry Abbott's research involves the computational modeling and mathematical analysis of neurons and neural networks. He uses analytic techniques and computer simulation to study how single neurons respond to their synaptic inputs, how neurons interact to produce functioning neural circuits, and how large populations of neurons represent, store, and process information. Areas of particular interest include spike-timing dependent forms of synaptic plasticity, the roles of neuronal adaptation and synaptic modification taking place over multiple time scales in sensory processing and memory, and the dynamics of internally generated activity and signal propagation in large neural networks. Recent work has focused on various forms of active sensing, the generation and control of motor patterns, and mechanisms of olfactory processing and learning.

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