What is Learning Resilience?

Learning resilience is the ability to cope with negative life experiences through an active learning process. It is a key factor in the transition between maladaptive and adaptive network states in the central nervous system and is associated with functional, adaptive systems states, as opposed to non-resilient maladaptation. This concept is supported by evidence from systems neuroscience and animal models, which suggest that neuronal plasticity mechanisms govern the switch between maladaptive and adaptive states, and that learning plays a crucial role in this process.

Our Impact

Stress-induced mental disorders, such as post-traumatic stress disorder, burnout, or depressive disorders are causing immeasurable suffering and are quickly becoming a major challenge to our society and healthcare system: understanding resilience by viewing it as a “learning process” provides tantalizing opportunities to address these problems.

Latest News

First In-Person Meeting

After months of virtual collaboration and remote work, we are thrilled to finally have the opportunity to meet in person in Magdeburg and continue our important work together. During this meeting, our team will be discussing the progress we have made so far, sharing our research findings, and planning our next steps.

Addetionally, we have set aside a day specifically dedicated to our young investigators, who are the driving force behind our project. Our PhD students will have the opportunity to present their research findings, receive feedback from their peers, and engage in lively discussions on the latest developments in our field.

Nov 2022

Project launched

We are thrilled to announce the official launch of our research project! This ambitious initiative is comprised of four work packages, and aims to make significant contributions to our understanding of stress resilience. We are excited to begin this journey.

Over the coming months and years, our team will be working tirelessly to collect and analyze data, publish research findings, and collaborate with other experts in our field. We believe that our project has the potential to significantly advance the research field, and we are eager to share our progress with the wider research community.

Jan 2022