Andrej Bicanski

@andrejbicanski.bsky.social

Research group leader at MPI_CBS. Physicist turned neuroscientist (interests: too many, but mainly spatial cognition), sporadically on X/BSky.

New paper out in Current Biology. We define thalamic head direction (HD) cells based on the combination of neurochemical identity, physiology, sensorimotor responses, and connectivity, suggesting cell types. Great work led by Sara Hijazi and Shan Jiang from the lab. www.cell.com/current-biol...

Diversity and sensorimotor specialization of head direction cells in the mouse thalamus

Hijazi and Jiang et al. identify distinct head direction (HD) cell subpopulations in the mouse anterodorsal thalamic nucleus, based on the combination of firing patterns, connectivity, and neurochemic...

cell.com

🧠 Next Mind Meeting Talk! Jennifer Li and Drew Robson from the RoLi Lab at @mpicybernetics.bsky.social will give a talk titled: Uncovering the neural mechanisms of spatial cognition with behavior-aware autonomous microscopes.

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Doeller Lab@doellerlab.bsky.social · 6mo ago

🧠 The Mind Meeting Series is back! Organized by us & Bicanski Lab, featuring leading scientists in cognitive and computational neuroscience. Our first speaker is @lukaskunz.bsky.social (University Hospital Bonn). 🗓 February 12 | 3:00 PM 📍 In person (Zoom available) We look forward to seeing you!

Job alert! We are seeking a rodent in vivo electrophysiologist to work on coordination between anterior thalamus and hippocampus in rats using Neuropixels. Beautiful Scotland, leading university (Glasgow) and vibrant intellectual setting. Post is 23 months but hopefully extensible. Details here 👇

New paper from the Neural Computation Group: "A theory of subicular function and generalized vector coding." by @ffeiwang.bsky.social. Link to preprint and a quick overview in Fei's short thread.

Fei Wang@ffeiwang.bsky.social · 4mo ago

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...

New book on navigation (open access). The result of the Ernst Strüngemann Forum 2024. Was great to be there and discuss for a week with 50+ wonderful colleagues. Many thanks to the organizers, Julia Lupp + ESF team, the editors @noranewcombe.bsky.social, Ken Cheng link.springer.com/book/10.1007...

Challenges in Navigation Research

This open access book explores navigation across species using a multidisciplinary approach to address challenges in research and clinical applications.

link.springer.com

"The digital sphinx produces highly realistic fly walking - yet it is biologically meaningless. This exercise teaches us nothing about either animal and exposes a core peril of connectome-body models: behavioral fidelity is achievable without biological fidelity..." www.biorxiv.org/content/10.6...

The digital sphinx: Can a worm brain control a fly body?

Animal intelligence is not purely a product of abstract computation in the brain, but emerges from dynamic interactions between the nervous system and the body. New connectome datasets and musculoskeletal models now enable integrated, closed-loop simulations of the neural and biomechanical systems of the fruit fly Drosophila, an ideal model organism to investigate embodied intelligence. However, many biological parameters of the nervous system and the body, as well as how they interface, remain unknown. To fill such gaps, researchers are turning to deep reinforcement learning (DRL), a data-driven optimization framework, to create virtual animals that imitate the behavior of real animals. Here, we provide a cautionary tale about the interpretation of such models. We constructed a virtual chimera of two phylogenetically distant species: a connectome of the C. elegans nematode worm and a biomechanical model of the fly body. The worm connectome receives sensory information from the fly body, and an artificial neural network is trained with DRL to map worm motor neuron activations to the fly's leg actuators. The resulting digital sphinx produces highly realistic fly walking - yet it is biologically meaningless. This exercise teaches us nothing about either animal and exposes a core peril of connectome-body models: behavioral fidelity is achievable without biological fidelity, making such models easy to overinterpret. Done carefully, virtual animals can be powerful partners to biological experiments, but only if their components and interfaces are grounded in biology. ### Competing Interest Statement The authors have declared no competing interest. NIH, U01NS136507, R01NS14543

biorxiv.org

1/7 🧠 My journey into development begins with this work and question: how does the brain's spatial navigation system develop? We found that the neural networks for spatial navigation (tori and rings) are preconfigured and only later anchor gradually to the world with experience! 🧵

Edvard I Moser@edvardmoser.bsky.social · 5mo ago

Is spatial navigation innate 🧠? Using #NeuroPixels we show that the #torus 🍩 underlying the #GridCell map exists already on day 10 in rats — before pups open eyes and ears and before they start upright walking. 🧵1:4 👇 www.biorxiv.org/content/10.6...

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

Probabilistic Foundations of Fuzzy Simplicial Sets for Nonlinear Dimensionality Reduction

Fuzzy simplicial sets have become an object of interest in dimensionality reduction and manifold learning, most prominently through their role in UMAP. However, their definition through tools from alg...

arxiv.org