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).
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.
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Format: Hands-On Online (Team Work)
Dates: June 15-19, 2026, 2:30-6:00pm CEST
Focus: statistical data analysis and data mining methods
Cost: Free!
Image: Denker, M., Grün, S., Wachtler, T., Scherberger, H., 2021. Neuroforum 27, 27–34. https://doi.org/10.1515/nf-2020-0041
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.
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Format: Hands-On Online (Team Work)
Dates: June 22-26, 2026, 2:30-6:00pm CEST
(June 26: ANDA-NI Retreat participants only)
Focus: data curation, computational reproducibility
Cost: Free!
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.
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Format: Project-Focused In-Person Retreat at the Jülich Research Center, Germany
Dates: July 27-31, 2026
Focus: Applying best-practice workflows and advanced data analyses to participants’ datasets in small project teams.
Cost: 450 Euros (included: participation, food, drinks)
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
The fee for full ANDA-NI participants is 450 Euro. During the in-person ANDA-NI Retreat of the school, this fee covers general costs of the course, lunches (Monday-Friday), dinners (Monday-Thursday), drinks and coffee. All other costs, e.g., travel to Jülich and accommodation, must be paid by the participant.
Download the registration form and send the filled form and any attachments to applications@andani.info.
Space for the ANDA-NI Retreat is limited. Notices of acceptance of applications will be given soon after the application deadline.
Additionally, please make sure you register for the mandatory ANDA and NI Courses below.
Deadline: March 15, 2026
ANDA Course and NI Course applications
The events are free of charge and registration is open until all slots are booked. Registration is via Zoom:
ANDA Course Registration
NI Course Registration
Questions? Contact us at contact@andani.info.
Image: Forschungszentrum Jülich GmbH, Ralf-Uwe Limbach
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.
Forschungszentrum Jülich
Jülich, Germany
Tools for the Analysis of Electrophysiology Data
iBehave iBOTS, University of Bonn
Bonn, Germany
Management of Neuroscience Data and Workflows
Forschungszentrum Jülich
Jülich, Germany
Analysis of higher-order correlation structures in brain activity
University of Bremen
Bremen, Germany
Spectral Signal Analysis
German Primate Center
Göttingen, Germany
Analysis of Activity Data in Primate Cortex
CNRS & Aix-Marseille Université
Marseille, France
Causality and Directionality Analysis
Ludwig-Maximilians-Universität München, Germany
Tools for Management of Electrophysiology Data
Carnegie Mellon University
Pittsburgh, USA
Dimensionality Reduction
University of Cologne
Cologne, Germany
Statistics and Variability of Activity Data