ANDA-NI is Three Schools in One...
The ANDA-NI school consists of three modules: Two online courses, ANDA and NI, and the in-person ANDA-NI Retreat for collaborative projects to put the learned material into practice on your own favorite datasets.
Each online course is available for standalone enrollment. Participation in the ANDA-NI Retreat requires to take part in both online courses (ANDA and NI).
Advanced Neural Data Analysis (ANDA) Course
Master cutting-edge techniques for high-dimensional electrophysiology data. Learn state-of-the-art methods to analyze recordings from hundreds of neurons during complex behaviors—essential for modern systems neuroscience.
Registration closed.
Image: Denker, M., Grün, S., Wachtler, T., Scherberger, H., 2021. Neuroforum 27, 27–34. https://doi.org/10.1515/nf-2020-0041
Neuroinformatics (NI) Course
Unlock efficient data handling and sharing with practical training in neuroinformatics tools. Develop workflows for team-based analysis of cellular and network-level electrophysiology data.
Registration closed.
ANDA-NI Retreat
Build comprehensive competence through practice, collaboration, and real-world application of concepts of data management and data analysis. ANDA-NI evolves the concepts of four ANDA schools held since 2017 by enabling aspiring scientists to spend a week together and apply the learned concepts for data management and analysis to their own datasets in the context of small team-based projects, guided by faculty.
Registration closed.
The ANDA-NI Retreat requires participation in the ANDA and NI schools. In addition, participants are required to identify a neuroelectrophysiology (spike train data, local field potential recordings, or similar) dataset to bring to the school.
Full ANDA-NI School applications
Registration closed.
ANDA Course and NI Course applications
Registration closed.
Image: Forschungszentrum Jülich GmbH, Ralf-Uwe Limbach
Venue
The ANDA-NI Retreat will be held at the Institute for Advanced Simulation (IAS-6), Compuational and Systems Neuroscience, Jülich Research Center, Germany.
Online courses will be held using the Zoom video conferenceing software.
