David Huber

David Huber is a Professor in Psychology and Neuroscience at the University of Colorado. He holds a PhD from Indiana University (2000). His research focuses on human perception, memory, and decision-making from a computational perspective, integrating behavioral studies with neuroimaging techniques (fMRI, ERP) and computational models (Bayesian, neural networks). Key areas include visual cognition, spatial navigation models, memory retrieval dynamics, and priming effects.

Education: PhD in Psychology from Indiana University (2000).

Research emphasizes mechanisms underlying memory processes, perceptual adaptation, and the neural basis of cognitive functions. Recent work challenges traditional roles of hippocampal place/grid cells, proposing memory-centric models. He explores how perceptual fluency influences decision-making and juror cognition, with studies on serial dependence and gestalt principles in binocular rivalry. His neurocomputational methods include fMRI-based tuning function analysis and virtual electrophysiology modeling.

Publications span over two decades, focusing on memory models (SAM-RI), neural habituation, and Bayesian modeling of brain activity. His work advocates for rigorous model-driven approaches in cognitive neuroscience.