A01 A02 A03 A04 A05 A06 A07 A09 A10 A11 A12 A13 A14 A18 A19 A21 F01 F02 INF Ö

Our Cooperation Network

Cooperation with other Collaborative Research Centers, institutions and also individual scientists means exchange, new ideas and opportunities. We thank our partners for their fresh perspectives and excellent expertise. Our partners include: 

Berlin-Bochum Memory Alliance

The Berlin-Bochum Memory Alliance is a transregional collaborative initiative of four DFG-funded consortia. Its goal is to create synergies across consortia, by providing a platform for members to share ongoing memory research and to network. To this end, the alliance hosts joint events and supports self-organized initiatives by its early-career researchers. Find out more @ memory-alliance.de or click on the interactive logos.

Aims of the Alliance

Global
Strengthen memory research in Germany

Specific
Discover new opportunities to collaborate and create joint projects

Specific

Support early career researchers and building a young scientist network

Specific

Share results and engaging in outreach

Fellows

Exchanging ideas with colleagues nationally and internationally is an important part of proper scientific conduct. Therefore we are happy to greet our regular guests at the SFB 1280, who in turn contribute with their expertise in specific projects and as advisors to the SFB as a whole. Fellows are integrated to a greater extent than visiting researchers. They are associated with the project over the long term and at least partially on site at the host institution. They remain in contact with the project network even after their stay.

AmelieVanDerLinden

Annemie van der Linden, University of Antwerp – Animal Imaging

Annemie van der Linden is one of the leading experts in the field of Animal MR. She will accompany the experiments in both A01 and A04, and support planned pilots in A07, A12, A18, A19, and A21. With her support we can realize our long-term plan to teach animal MR to projects that aren’t conducting MR yet. For this purpose, Annemie van der Linden will provide hands-on animal MR-courses at the University of Antwerp for our PhD students and postdocs. Annemie van der Linden will also be often in Bochum to help us to develop more advanced experimental imaging procedures. Taken together, this cooperation should importantly enhance our vison of Animal MR on two levels: First, Training young people in MR-compatible experiments and procedures as an extremely fast growing and important scientific technology with high relevance for the SFB. Second, Establishing the collaboration between Bochum and Antwerp. 

Harald Lachnit, Philipps-Universität Marburg – Learning Dynamics and the concept of extinction

Harald Lachnit is one of the most renowned researchers on learning and behavior. He contributed strongly to the birth idea of this research group and since the transformation of the Research Unit 1581 into the SFB 1280, he again had a formative function in the design of the learning theory foundation. For private reasons, he retired from active duty on March 31, 2021, contrary to earlier plans, and will no longer be available to the SFB 1280 in the second funding period. It is therefore extremely gratifying that he has agreed to continue advising the SFB as a Fellow. Against the background of 15 years of intensive cooperation in both joint projects, he is an ideal and invaluable advisor in the field of associative learning and thus an asset for the SFB and its individual projects.

The entire issue as PDF here

RUBIN Extinction Learning 2025

RUBIN, the RUB’s science magazine, together with the SFB 1280, is publishing a new issue for anyone interested in forgetting in January 2025 – RUBIN Extinction Learning 2025. All articles printed in it will appear online in advance on the RUB news portal. We are very pleased to have this opportunity to present our research in a collected and condensed form.

The articles online:

New Year, New Me: The Facts

As the calendar turns to a new year, millions of people around the world commit to New Year’s resolutions, making promises to use the new year as a fresh beginning and an opportunity for transformation. In 2024, almost three-quarters of the British population set themselves New Year’s resolutions — that’s around 40 million people (or the entire population of Canada). This tradition was particularly strong among younger generations, with 96% of Generation Z (aged 18-27) planning resolutions, compared to just 35% of the Silent Generation (aged 79+).

Most common new years resolutions:

  1. Saving more money (52%)
  2. Eat healthier (50%)
  3. Exercise more (48%)
  4. Lose weight (37%)
  5. Spend more time with family/friends (35%)

How long do most resolutions normally last before being broken?

  • Data from America (2016) shows that 75% of individuals maintain their resolutions through the first week. 
  • 64% of individuals maintain their resolutions through the first month. 
  • 46% of individuals in America keep their resolutions past the 6-month mark.

What makes resolutions stick?

Oscarsson et al. (2020) conducted research into what makes New Year’s resolutions stick. Biggest success rates depended on how people phrased their goals. Participants who set approach-oriented goals (trying to move toward or maintain a desirable outcome or state) than those with avoidance-oriented goals (trying to move toward or maintain a desirable outcome or state) were significantly more successful (58.9% vs. 47.1%) at sticking to their goals.

The study also investigates the effects of outside support. These participants received monthly follow-ups and emails with information and exercises for coping with hurdles when striving toward personal goals, and were also encouraged to set goals using the SMART technique and to set interim goals. The group that received some support was exclusively and significantly more successful compared to the groups who received a lot of support or no support at all. 

Additionally, you might feel more successful if you set goals that are measurable in numbers. While success for a person striving to quit smoking or lose weight could easily be measured in the number of cigarettes smoked or body mass index, the success for a person striving to “take better care of themselves” could be highly subjective and possibly impossible to measure.

So as we enter 2026, let’s remember to work with our brain’s natural learning system: Frame your goals positively, break them into manageable steps, and celebrate small wins along the way.