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Deep Brain Imaging and Neural Circuit Computation in Health and Disease

University of Bonn
Empirical & clinical neuroscience
About this course

Topics covered include:

  • Deep brain imaging using single- and two-photon imaging techniques
  • Miniature microscope recordings in freely moving animals
  • Combined all-optical imaging and optogenetic tools
  • Large scale neural population analysis using data science and machine learning techniques
  • Behavioural phenotyping using markerless pose estimation
  • Scientific programming using Python
Learning outcomes

Students will be introduced to different concepts of neural circuit computations based on deep brain imaging data during complex behavioral paradigms in freely moving mice. This module will allow students to gain experience with methods for neuronal population activity analysis and how changes in the neuronal code are linked to learning and memory as well as behavioral adaptations in health and disease.

Prerequisites for participation

45 ECTS

Necessary language skill
English
Semester(s) in which the module takes place
Winter Semester
Course type
Practical + Seminar
Course level
Masters
Course start date
06 Jan 2025
Course end date
28 Feb 2025
Involvement period
8 weeks
Teaching mode
Local
Local attendance
Required
Workload in ECTS
15
Graded
Yes
Person in charge of module
Dr. Jan Gründemann, PhD
Local module ID
WPP 53