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ePoster
NEUROKRAKEN: A FULLY FLEXIBLE, OPEN-SOURCE, PYTHON-BASED NEUROSCIENCE BEHAVIOR PLATFORM
Alexander Wallerusand 4 co-authors
Medical University Innsbruck
FENS Forum 2026 (2026)
Barcelona, Spain
Board PS07-10AM-074
Presentation
Date TBA
Board: PS07-10AM-074
Event Information
Poster Board
PS07-10AM-074
Poster
View posterAbstract
The ability to investigate the neural circuits foundational for information processing, learning, and decision formation is often limited by the difficulty of providing accurate, and scalable complex experiences and interactions with detailed behavior measurements. Existing behavior platforms are typically optimized for few, often simple tasks with constrained expandability, and priced prohibitive for scale.
To address these challenges we developed Neurokraken, an open-source solution capable of implementing paradigms across species and experimental setups. The platform allows writing experiment progressions, events and conditions in standard python while it automatically sets up a microcontroller for the connected hardware components and python side access. Neurokraken is focused on flexibility and ease of use, enabling the usage of python ecosystem code and packages within experiments as well as the addition of any arduino-compatible electronic devices for custom experiments.
Neurokraken provides tracking of task variables, camera capturing for on- or offline analysis, custom creatable UIs/live plotting for observation and interactions, and a library of 3D-printable components for modular experiment setups while making advanced behavioral experiments more accessible through substantial cost efficiency.
Neurokraken application examples feature real-time AI-vision body tracking, optogenetics control, diverse controlled stimuli and sensors for subject interactions, and a wide range of established and novel tasks, including freely moving or headfixed rodents interacting with complex real and virtual environments.
To address these challenges we developed Neurokraken, an open-source solution capable of implementing paradigms across species and experimental setups. The platform allows writing experiment progressions, events and conditions in standard python while it automatically sets up a microcontroller for the connected hardware components and python side access. Neurokraken is focused on flexibility and ease of use, enabling the usage of python ecosystem code and packages within experiments as well as the addition of any arduino-compatible electronic devices for custom experiments.
Neurokraken provides tracking of task variables, camera capturing for on- or offline analysis, custom creatable UIs/live plotting for observation and interactions, and a library of 3D-printable components for modular experiment setups while making advanced behavioral experiments more accessible through substantial cost efficiency.
Neurokraken application examples feature real-time AI-vision body tracking, optogenetics control, diverse controlled stimuli and sensors for subject interactions, and a wide range of established and novel tasks, including freely moving or headfixed rodents interacting with complex real and virtual environments.
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