The Ornstein-Uhlenbeck Process In Neural Decision-Making: Mathematical Foundations And Simulations Suggesting The Adaptiveness Of Robustly Integrating Stochastic Neural Evidence

Shea-Brown, EricWojnowicz, Michael Thomas2013-02-252013-02-252013-02-252012Wojnowicz_washington_0250O_10917.pdfhttp://hdl.handle.net/1773/21760Thesis (Master's)--University of Washington, 2012This master's thesis reviews the concepts behind a stochastic process known as the Ornstein-Uhlenbeck Process, and then uses that process as a way to investigate neural decision making. In particular, MATLAB simulations suggest the usefulness of robustly integrating neural evidence to make a cognitive decision.application/pdfen-USCopyright is held by the individual authors.MathematicsApplied mathematicsMathematicsThe Ornstein-Uhlenbeck Process In Neural Decision-Making: Mathematical Foundations And Simulations Suggesting The Adaptiveness Of Robustly Integrating Stochastic Neural EvidenceThesis