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Modeling Interactions Between Neurons
During Decision-Making in Animals
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In this study, we develop new statistical methods for investigating the neuronal basis for decision-making in animals.
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We develop a non-stationary copula model where the time-varying firing rates are estimated using the Gaussian process.
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Collaborators
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D. Moorman (Psychology, UMass)
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S. Behseta (CSU-Fullerton)
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B. Shahbaba (UC-Irvine)
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