Research Colloquium Cognitive Neuroscience
Speaker: Nikolaus Kriegeskorte (Professor of Psychology and Neuroscience, Columbia University)
Title: Controversial stimuli: Optimizing experiments to adjudicate among computational hypotheses
Zoom
Meeting-ID: 683 7877 7241
Passcode: 548190
Abstract.
Deep neural network models (DNNs) are central to cognitive computational neuroscience because they link cognition to its implementation in brains. However, DNNs have many parameters, raising the question whether they are too flexible to serve as mechanistic models of brain information processing. On the one hand, modeling intelligent behavior requires high parametric capacity. On the other hand, it is unclear how we can glean theoretical insights from overly flexible highparametric models. One approach toward a solution to this conundrum in the method of controversial stimuli. Controversial stimuli are stimuli (e.g. images, sounds, sentences) optimized to elicit distinct predictions from different models. Controversial stimuli greatly improve our power to adjudicate among models. In addition, they provide out-of-distribution probes that reveal the inductive biases implicit to the architecture, objective function, and learning rule that defines each
model.
Veranstaltungsort
Zoom
Informationen/Kontakt
Universität Regensburg
Institut für Psychologie
Lehrstuhl Cognitive Neuroscience
Prof. Dr. Angelika Lingnau
E-Mail angelika.lingnau@ur.de