Autor: Brandon M. Turner

Soporte
Brandon Turner is an Assistant Professor in the Psychology Department at The Ohio State University. His research interests include dynamic models of cognition and perceptual decision making, efficient methods for performing likelihood-free and likelihood-informed Bayesian inference, and unifying behavioral and neural explanations of cognition. His current focus is on understanding how external factors such as the environment, and internal factors such as working memory interact to shape an observer»s perception of the world, and ultimately how this perception drives their decisions. Dr. Turner is an editorial board member for the journal Decision. Birte U. Forstmann is a Professor for Cognitive Neurosciences at the University of Amsterdam. She earned her Ph D in 2006 at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. After completing her postdoc in 2008 at the University of Amsterdam, she became tenured Research Fellow at the Cognitive Science Center Amsterdam with the focus of model-based cognitive neurosciences. Since then she has contributed to a range of topics in cognitive neuroscience, experimental psychology, mathematical psychology, and lately also in quantiative neuroanatomy. Despite its diversity, her work is motivated by a single strong conviction, namely that behavioral data and brain measurements need to make contact with psychological theory via concrete mathematical models of latent cognitive processes. Mark Steyvers is a professor in the Department of Cognitive Sciences at the University of California, Irvine. He also holds joint faculty appointments with the Department of Computer Science and the Department of Psychology and Social Behavior at the University of California, Irvine. Dr. Steyvers is Associate Editor for Computational Brain & Behavior and consulting editor for Psychological Review and an editorial board member for Behavior Research Methods. 




3 Ebooks de Brandon M. Turner

Brandon M. Turner & Birte U. Forstmann: Joint Models of Neural and Behavioral Data
This book presents a flexible Bayesian framework for combining neural and cognitive models. Traditionally, studies in cognition and cognitive sciences have been done by either observing behavior (e.g …
PDF
Inglés
€80.24
James J. Palestro & Per B. Sederberg: Likelihood-Free Methods for Cognitive Science
This book explains the foundation of approximate Bayesian computation (ABC), an approach to Bayesian inference that does not require the specification of a likelihood function. As a result, ABC can b …
PDF
Inglés
€53.49
Birte U. Forstmann & Brandon M. Turner: An Introduction to Model-Based Cognitive Neuroscience
The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field provide tutorial-style chapters that explain particular te …
PDF
Inglés
€171.19