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 project work on your favorite dataset. 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.
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Format: Hands-On Online
Dates: June 15-19, 2026, 2:30-6:00pm CEST
Focus: statistical data analysis and data mining methods
Cost: Free!
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.
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Format: Hands-On Online
Dates: June 22-26, 2026, 2:30-6:00pm CEST
(June 26: ANDA-NI Retreat participants only)
Focus: data curation, computational reproducibility
Cost: Free!
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.
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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.
Learn advanced analysis techniques
Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging and intricate. The ANDA-NI school aims at teaching state-of-the-art analysis approaches for neuroelectrophysiological data in systems neuroscience.
Image: Denker, M., Grün, S., Wachtler, T., Scherberger, H., 2021. Neuroforum 27, 27–34. https://doi.org/10.1515/nf-2020-0041
Implement solutions for efficient data handling and sharing
Likewise, the management of modern electrophysiology datasets becomes increasingly important to enable the synergistic effort of teams working jointly on this data. ANDA-NI provides an in-depth practical training on how to efficiently work with cellular and network-level electrophysiological data in a collaborative environment and in the implementation of workflows based on current neuroinformatics tools.
Applications
Full ANDA-NI school applications
The fee for ANDA-NI participants is 450 Euro. During the in-person 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.
Deadline: March 15, 2026
ANDA Course and NI Course applications
The events are free of charge 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
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.
