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Berlin Theoretical Neuroscience Running lecture

Models of Higher Brain Functions

Participants should learn the basic concepts and most important topics in the Cognitive Neurosciences. In addition, they should know the state-of-the-art models in these domains and their theoretical foundations. After completing the module, participants should understand strengths and limitations of the different modeling approaches (e.g. bottom-up versus top-down), should be able to understand the rationale behind models and their implementation, and should be aware of performance criteria and critical statistical tests. Participants should also be able to modify models of cognitive processes as well as to apply existing models to novel experimental paradigms, situations or data.
Contents include:
Auditory and visual system, natural image statistics and sensory processing, motor system, psychology and neuroscience of attention, memory systems, executive control, decision making, science of free will and consciousness. Data modeling and essential statistics, psychometric methods, signal detection theory, models of visual processing, models of visual attention, models of executive function. Signal processing, sensory and cognitive modeling using Python.

Lecture, Analytical Tutorial, Programming Tutorial

MSc, PhD
  • Maths: 3 semesters
  • Programming: basic
  • Neuroscience: basic
  • Progr. lang.: Python

BCCN Berlin

Haynes and Sprekeler
2 h weekly in winter- and 6 h weekly in summer semester / 2-12

Starts with seminar “Cognitive Neuroscience” in Winter Semester (2 ECTS), the rest runs during the summer term, multiple combinations possible

This year: No course in summer semester 2019, summer course will be  postponed to winter semester 2019/20!

Visit the course website