Advanced Neural Data Analysis and Neuroinformatics
ANDA-NI

An interactive  school for  research data management and
data analysis in electrophysiology

Online: June 15-26, 2026
In-person: July 27-31, 2026

Last Minute Retreat Spots Available -- Apply now!

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.

APPLY NOW
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

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 (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!

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.

APPLY NOW
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.
Accommodation and registration costs are waved. Applicants must pay for meals and travel.

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

During the in-person ANDA-NI travel to Jülich and meals must be paid by the participant. Accommodation is provided.

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.

Accepted participants will be automatically registered for the mandatory ANDA and NI Courses.

Last minute registrations are still accepted for
few remaining spots.

Questions? Contact us at contact@andani.info.




ANDA Course and NI Course applications

The events are free of charge and registration is open until all slots are booked (currently full, waiting list only). 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.

2026 Faculty

Michael Denker

Forschungszentrum Jülich
Jülich, Germany

Tools for the Analysis of Electrophysiology Data

Nicholas Del Grosso

iBehave iBOTS, University of Bonn
Bonn, Germany

Management of Neuroscience Data and Workflows

Sonja Grün

Forschungszentrum Jülich
Jülich, Germany

Analysis of higher-order correlation structures in brain activity

Byron Yu

Carnegie Mellon University
Pittsburgh, USA

Dimensionality Reduction

Thomas Wachtler

Ludwig-Maximilians-Universität München, Germany

Tools for Management of Electrophysiology Data

Martin Nawrot

University of Cologne
Cologne, Germany

Statistics and Variability of Activity Data

Udo Ernst

University of Bremen 
Bremen, Germany

Spectral Signal Analysis

Hideaki Shimazaki

Kyoto University 
Kyoto, Japan

State Space Analysis

Past ANDA-NI Faculty

Hansjörg Scherberger

German Primate Center
 Göttingen, Germany

Analysis of Activity Data  in Primate Cortex

Andrea Brovelli

CNRS & Aix-Marseille Université
Marseille, France

Causality and Directionality Analysis