1/N: Dear colleagues, I would like to share a new paper on the subiculum, part of my PhD with the Neural Computation Group @andrejbicanski.bsky.social @mpicbs.bsky.social . We present “A theory of subicular function and generalized vector coding” that we call Disco. www.biorxiv.org/content/10.6...

Our new preprint is out on bioRxiv! @doellerlab.bsky.social We show that eye-movement sequences actively organize information by aligning with underlying structure and flexibly adapting to cognitive demands in working memory. www.biorxiv.org/content/10.6...

Efficient coding in working memory is adapted to the structure of the environment doi.org/10.1016/j.ce... #neuroscience

Our new paper, now published in Cell Reports, asks how the brain adaptively shapes its representations according to the statistical structure of the environment to overcome the limits of working memory capacity. www.cell.com/cell-reports...

Our new paper, now published in @natcomms.nature.com , asks a simple question: when two tasks share a common structure, does the brain learn them more efficiently? Surprisingly, this was not the case. Thread below (1/7) rdcu.be/eSwvU

🚨Checkout our new article! "Observer and stimulus factors jointly shape perceptual similarity of static and dynamic facial emotions" doi.org/10.1080/0269...

New preprint from the lab and great work by Fei Wang. We show how subiculum trace vector cells can be modeled consistent with known effects in CA1. Traces are driven by a mismatch learning rule to keep associative memories in line with experience. www.biorxiv.org/content/10.1...

🚨 New preprint! Impact of Task Similarity and Training Regimes on Cognitive Transfer and Interference 🧠 We compare humans and neural networks in a learning task, showing how training regime and task similarity interact to drive transfer or interference. www.biorxiv.org/content/10.1...

Happy to share our new preprint. We found that brain adaptively switches between relational and item-based coding strategies based on the structure of memory contents. @doellerlab.bsky.social www.biorxiv.org/content/10.1...