Cognitive Computational Neuroscience
"The goal of cognitive computational neuroscience is to explain rich measurements of neuronal activity and behavior […] by means of biologically plausible computational models that perform real-world cognitive tasks." (Kriegeskorte & Douglas, 2018)
That is, the here-developed computational models are evaluated in challenging cognitive tasks under preferably naturalistic conditions, and should explain neural responses and behavior of biological systems such as the human brain, performing these very same tasks. This includes perceptual processes, predictive modeling such as planning and decision-making, and higher cognitive domains such as language comprehension.
This paper reviews recent work in the intersection of cognitive science, computational neuroscience and artificial intelligence. Computational models that mimic brain information processing during perceptual, cognitive and control tasks are beginning to be developed and tested with brain and behavioral data.
This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience.
CCN is a forum for discussion among cognitive science, neuroscience, and artificial intelligence researchers dedicated to understanding the computations that underlie complex behavior.