Viola Priesemann

Professor

University of Göttingen

Germany

Research Interests

Explore related searches

Professors in Germany Professors in Neuroscience Neuroscience professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Viola Priesemann is a Professor at Georg-August-Universität Göttingen, Germany. Her research areas include neural learning frameworks, infectious disease dynamics, and the presynaptic vesicle cycle, as evidenced by her recent articles. She explores complex systems interactions, including societal self-regulation and their impacts on infection dynamics.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Collaborators (3)

Adam Packer

University of Oxford

UNITED KINGDOM

View details

Svilen Veselinov Georgiev

University Medical Center Göttingen

GERMANY

View details

Matthias Loidolt

Postgraduate Teaching Assistant

University College London

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Viola Priesemann

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Power-law adaptation in the presynaptic vesicle cycle

Societal self-regulation induces complex infection dynamics and chaos

A general framework for interpretable neural learning based on local information-theoretic goal functions

Coupled infectious disease and behavior dynamics. A review of model assumptions

The synaptic vesicle cluster as a controller of pre‐ and postsynaptic structure and function

SIR Model for Households

Signatures of hierarchical temporal processing in the mouse visual system

Early mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants in Chile

Propagation of activity through the cortical hierarchy and perception are determined by neural variability

Information-theoretic analyses of neural data to minimize the effect of researchers’ assumptions in predictive coding studies

Collaborators (3)

Adam Packer

Svilen Veselinov Georgiev

Matthias Loidolt

Make your next move.