Now out in Hippocampus. Fei Wang‘s model of Trace Vector Cells and intra-subiculum processing, consistent with know effects in CA1. onlinelibrary.wiley.com/share/CPZPYM...

1/N: Dear cognitive map fans, I’d like to share a model I’ve been working on for a while (clearing backlog :). I show how a vector navigation architecture (VNA) and a “positional inference network” (PIN) can build Universal Cognitive Maps (UCMs) for abstract spaces. www.biorxiv.org/content/10.6...

Super thrilled to finally share the results of our team effort, from the lab of the one and only @ayab.bsky.social. Hopefully it will stir interesting discussions about how the brain balances continuity and segmentation

How do we achieve few-shot generalization? New work led by @fabianrenz.bsky.social dives into the role of replay in learning and using structure to generalize reward. Dream team effort with Shany Grossman @nathanieldaw.bsky.social Peter Dayan & @doellerlab.bsky.social www.biorxiv.org/content/10.6...

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...

New preprint: Inference over hidden contexts shapes the geometry of conceptual knowledge for flexible behaviour. In this pre-reg study, our core claim was that we don’t just learn stimulus-reward. We infer hidden context and that inference re-wires attention and neural state space on the fly. 1/8

Happy to share this early Christmas present 🎄: our paper about geometry- and locomotion-dependence of 3D memory got published in PNAS! Joint work with co-first-author Volker Reisner (@reisnerv.bsky.social) as well as Leonard König, Misun Kim & Christian Doeller www.pnas.org/doi/10.1073/

New preprint! Have you ever wondered, what are these fuzzy simplicial sets, the theoretical framework behind e.g. UMAP? Here we show that you may simply see them as marginal distributions over simplicial sets. This provides a generative model for UMAP. (1/2) arxiv.org/abs/2512.03899

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

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...

Huge congratulations 🥳 to @sofievalk.bsky.social & @reznikdan.bsky.social for receiving ERC Starting Grants 2025! We're proud of you! Learn more about their projects: www.cbs.mpg.de/2397348/2025...

New theory: Categorization is Baked Into the Brain Categorization is not a late stage of sensory processing but a core computation that begins at the earliest stages, occurring throughout the cortex as predictive feedback shapes feedforward processing. doi.org/10.31234/osf... #neuroscience

🚨Preprint Alert: Who Does What in Deep Learning? Multidimensional Contribution of Neural Units using Game Theory: arxiv.org/abs/2506.19732 The result of my MSc thesis is out with @kayson.bsky.social @fatemehhadaeghi.bsky.social @patrickmineault.bsky.social @kordinglab.bsky.social, Claus C. Hilgetag

Excited to share that our work on the interplay of symmetric learning rules and successor representations (SR) is published in @plos.org (comp.bio) Work done together with @doellerlab.bsky.social, @caswell.bsky.social and Juergen Jost. doi.org/10.1371/jour... #neuroskyence #compneurosky 1/n

📣 Very excited for our symposium on “Building Knowledge Structures” tomorrow at 16:30 at @pug2025.bsky.social Together with amazing people: @barnaveliirina.bsky.social @lukaskunz.bsky.social @mirkothm.bsky.social and Andrea Greve

New preprint! We explored how learned movement patterns affect our sense of traveled distance and proposed a neurocomputational model that leverages embodied memories to denoise spatial codes. 🔗 www.biorxiv.org/cgi/content/...

🧠 Can a short period of awake, quiet rest help you generalize better? In our new study, we tested this with a learning paradigm comparing offline vs online wake period. www.sciencedirect.com/science/arti...

Our paper in @natcomms.nature.com, we show how cognitive maps in the hippocampal system could solve the general problem of representing and relating multiple alternative action plans.  doi.org/10.1038/s414... With @doellerlab.bsky.social, Patrick Haggard, @vigano.bsky.social, Daniel Reznik