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  • Expression of interest- Modern Approaches to Behavioural Analysis 2023

    This course will emphasize the philosophical and observational skills required to understand behaviour, while also providing training in motion capture technologies and computer vision methods that can assist in the collection and analysis of video recorded behaviour datasets.

    Focusing on the tool DeepLabCut, students will analyse either their own original video dataset or datasets of general interest and have the opportunity to practice tracking, pose estimation, action segmentation, kinematic analysis and modeling of behaviour.

    By the end of the course, you will:

    - be familiar with modern and historical frameworks for studying the behaviour of living biological systems
    - practice methods for carefully and precisely observing and defining behaviours
    - understand the limits and capabilities of computer vision
    - develop an intuition for how to build experimental setups that can take advantage of tools such as DeepLabCut
    Furthermore, this course shares and promotes open source software, and we encourage students to try new ideas, share insights, and connect with the open-source community.

     

    Requirements

    For the course, you will need access to a computer, and a stable internet connection for the online tutorials.


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  • IMPORTANT: Check the FENS website for correct formatting of your publication list!

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  • Please describe below your prior experience with the technologies used in neuroscience: programming, electronics, data acquisition, data analysis, imaging, machine learning/AI, etc. This course does not require prior experience, but your answers to this question will help us organize the interactive training sessions.

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