Larry Abbott is a senior fellow at Janelia Farm. Abbott uses computational modeling and mathematical analysis to study neurons and neural networks. His work draws on analytical techniques and computer simulation to explore how single neurons respond to synaptic inputs, how neurons interact in neural circuits, and how large networks of neurons represent, store and process information. Prior to his work in theoretical neuroscience, Abbott worked as an electrical engineer and then a theoretical particle physicist. He studied physics at Oberlin College, and has a Ph.D. in physics from Brandeis University with postdoctoral work at the Stanford Linear Accelerator Center and at CERN. At Janelia, Abbott continues his theoretical studies including work on hippocampal place cells.
RESEARCH ABSTRACT SUMMARY:
Larry Abbott’s research involves using computer simulation and mathematical methods to analyze and model how neural circuits perform their functions. Topics of study include olfaction, motor pattern generation, memory and decision making.
computational modeling and mathematical analysis of neurons and neural networks
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