Professor Golden's current research interests are focused on the development and application of statistical machine learning algorithms for the purpose of advancing mathematical theory in the Behavioral and Brain Sciences.
Students interested in learning more about the graduate programs in Cognition and Neuroscience at the University of Texas at Dallas should watch Dr. Golden's video presentation regarding these programs and check out the career opportunities link.
Both undergraduate cognitive science majors and graduate students in Applied Cognition and Neuroscience will also find the Introduction to Cognitive Science Presentation useful. Additional information about undergrad and grad career opportunities may be found by clicking on the undergrad cognitive science career opportunities link. Both cognitive science undergraduates and applied cognition and neuroscience graduate students can learn more about career opportunities in the areas of usability engineering and user experience by visiting websites such as usability.com and the BIG design conference . The following links will be helpful for exploring neuroscience career opportunities and psychology career opportunities. Also Masters Students in Applied Cognition and Neuroscience should check out: and career opportunities in the area of Intraoperative Neurophysiological Monitoring Information. For Masters Students in Applied Cognition and Neuroscience, the following Cognition and Neuroscience Handouts and Forms should also be helpful.
Finally, to apply to either the Undergraduate Program in Cognitive Science or the Masters Program in Applied Cognition and Neuroscience, please click on the undergraduate and graduate student admissions link .
Richard Golden obtained the Bachelor of Science degree in Electrical Engineering and Experimental Psychology from the University of California of San Diego in 1982. He received the Master of Science degree in Electrical Engineering from Brown University in 1986, and Ph.D. in Experimental Psychology from Brown University in 1987. Dr. Golden was an Andrew Mellon Fellow at the University of Pittsburgh from 1987-1988, and an NIH Post-doctoral Scholar at Stanford University from 1988-1990.
Professor Golden was a member of the Editorial Board of the Journal of Mathematical Psychology from 1996-2011. He was a member of the Editorial Board of Neural Processing Letters from 1999-2004, a member of the Editorial Board of the International Journal of Applied Intelligence from 2001-2004, and a member of the Editorial Board of the journal Neural Networks, from 1995-2006. Professor Golden is additionally Secretary-Treasurer of the Society for Mathematical Psychology, and an IEEE Senior Member affiliated with the IEEE Computational Intelligence Society. Professor Golden is additionally a member of the Society for Text and Discourse and the Cognitive Science Society.
In alternating years, Professor Golden teaches an introductory course in computational neuroscience using Tom Trappenberg's book Fundamentals of Computational Neuroscience, and an advanced statistical machine learning course sequence based on Professor Golden's book Mathematical Methods for Neural Network Analysis and Design. Professor Golden also teaches graduate courses in the areas of text comprehension, probabilistic models of natural language understanding, and an undergraduate course in scientific research and technical writing.
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