Neurotronics Network

The Neurotronics Network is designed to provide an open space for collaboration and the exchange of skills, expertise, and ideas. Building on the achievements of research initiatives such as the FOR 2093 and the CRC 1461, the network is committed to sustaining the research momentum beyond the conclusion of the CRC 1461. By continuing to explore its core topics and driving new initiatives, the Neurotronics Network continues to publish previous and ongoing results, and contributes meaningfully to academic discourse. By fostering collaboration across disciplines, it brings together researchers from diverse backgrounds to develop innovative approaches to complex challenges through cross-disciplinary partnerships.

At its heart, the network is also a community, offering a supportive environment where members can share expertise, mentor one another, collaborate on publications, and seek new funding opportunities. Through the pooling of collective resources and knowledge, the Neurotronics Network aims to enhance the visibility and impact of its work, serving as a platform to present research to wider audiences, participate in conferences, and connect with potential collaborators and funding bodies.

TitleAuthorsSourcePublished
Associative learning in box jellyfish - Data Link

This is the data of the publication https://doi.org/10.1016/j.cub.2023.08.056 The data itself has also been published elsewhere with the DOI https://doi.org/10.17632/csgymw8kjk.1

Bielecki, Jan

CRC 1461 - Neurotronics

2025-11-06
Sparse CNT networks with implanted AgAu nanoparticles - Data

This is the collection of measurement data for the publication: 10.1371/journal.pone.0264846 and its supplementary information.

Terasa, Maik-Ivo; Pooker, Pia; Carstens, Niko; Vahl, Alexander; Kaps, Sören; Faupel, Franz; Adelung, Rainer

CRC 1461 - Neurotronics

2025-09-08