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/...

Thank you for your interest in our work!

🧠 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...

Map-like representations might therefore represent how humans interact with their environment in a very general sense. By supporting action selection, cognitive maps could contribute to optimizing the acquisition and exploitation of a wide repertoire of action plans.

Fourth, the hippocampal-entorhinal map-like representation of action-outcome relations interacts with individual action representations in SMA during the action comparison process.

Third, we show the existence of representations in the SMA that are primarily related to the motor implementation of actions and that exist in parallel to the map-like representation of action outcomes in the hippocampal-entorhinal system.

Second, we found that the hippocampal activity scales with the distance between different action combinations in this abstract map that integrates action-outcome associations.

We first show that participants developed an integrated representation of multiple action-outcome associations as an abstract map, the relational structure of which is reflected in a hexadirectional modulation of EC activity.

In our VR tasks, participants learned arbitrary motor action-outcome associations and later compared action combinations while their brain activity was monitored with fMRI.
The outcomes of the discrete and arbitrary motor actions were modulated along the two task-relevant dimensions.

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

Cognitive maps could thus contribute to optimizing the acquisition and exploitation of a wide repertoire of action plans

Fourth, the hippocampal-entorhinal map-like representation of action-outcome relations interacts with individual action representations in SMA during the action comparison process.

Third, we show the existence of representations in the SMA that are primarily related to the motor implementation of actions and that exist in parallel to the map-like representation of action outcomes in the hippocampal-entorhinal system.

Second, we found that the hippocampal activity scales with the distance between different action combinations in this abstract map that integrates action-outcome associations.

We first show that participants developed an integrated representation of multiple action-outcome associations as an abstract map, the relational structure of which is reflected in a hexadirectional modulation of EC activity.

In our VR tasks, participants learned arbitrary motor action-outcome associations and later compared action combinations while their brain activity was monitored with fMRI.

The outcomes of the discrete and arbitrary motor actions were modulated along the two task-relevant dimensions.