Computational Neuroscience research group led by Walter Senn @unibern https://xitter.cf/t.co/JqH2AgMwx7

Berne, Switzerland
Joined November 2021
CompNeuro Lab retweeted
#PeerReview from @eLife of 👉🏿 Uncertainty-modulated prediction errors in cortical microcircuits biorxiv.org/content/10.1101/… #biorxiv #reviewedpreprint
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CompNeuro Lab retweeted
🏷️:Unsigned temporal difference errors in cortical L5 dendrites during learning 🔗:doi.org/10.1101/2021.12.28.4…
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Prospective and retrospective coding in cortical neurons. arxiv.org/abs/2405.14810
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What’s the point of strong spike frequency adaptation in serotonin neurons? This new work offers a clue: adaptation lets neurons broadcast a prediction of their future output, preventing slow downstream regions from lagging behind. 💡 doi.org/10.48550/arXiv.2405.…
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Prospective and retrospective coding in cortical neurons. arxiv.org/abs/2405.14810
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Increased perceptual reliability reduces membrane potential variability in cortical neurons biorxiv.org/cgi/content/shor… #biorxiv_neursci
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CompNeuro Lab retweeted
DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers frontiersin.org/journals/rad…
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CompNeuro Lab retweeted
For more details see our repo github.com/giant-axon/lu.i-n… and the preprint our researchers from @unibern and @BrainScaleS published arxiv.org/abs/2404.16664
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coolest conference souvenir: electronic neuron circuit lu.i on this board: an implementation of a leaky integrate and fire neuron, with the membrane voltage visualized with LEDs (or connect an oscilloscope to see the traces).
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CompNeuro Lab retweeted
📣 Elections for the new OCNS Directors are now open. All current OCNS members are eligible to vote. Candidates info page: lnkd.in/dyjqmiTa Voting page: lnkd.in/dgtni5jT Election procedures: lnkd.in/dVnyfc6 Hurry up. The deadline is tomorrow 📅
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CompNeuro Lab retweeted
Happy to present today and tomorrow three of our projects at #SNUFA24 Go Team!
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CompNeuro Lab retweeted
🧠 Forschende der #unibern haben ein Modell entwickelt, das zeigt, wie KI-Systeme Bewusstsein erlangen könnten. Sie schlagen den „Human-AI Deal“ vor, um den Umgang zwischen Mensch und Maschine zu regeln: sohub.io/9xl6. @MedFacultyUniBE
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CompNeuro Lab retweeted
Happy to have participated and presented our work at the last @BernsteinNeuro!
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Pleased to present our latest paper with Cyriel Pennartz in AI & Ethics, thanks to our fruitful collaboration made possible by @HumanBrainProj "The conductor model of consciousness, our neuromorphic twins, and the human-AI deal" rdcu.be/dXhWz &👇@unibern Press Release
🧠 Researchers at #unibern have developed a model suggesting that #AI systems could gain consciousness. They propose a "Human-AI Deal" to regulate the human-machine relationship: sohub.io/tzw4. @MedFacultyUniBE
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CompNeuro Lab retweeted
And two posters: "DelGrad: Exact gradients in spiking networks for learning transmission delays and weights" (P. Lake) "Emergence of Synfire Chains in Functional Multi-Layer Spiking Neural Networks" (J. Göltz) @unibern @EBRAINS_eu #BernsteinConference
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Hierarchy of prediction errors shapes the learning of context-dependent sensory representations biorxiv.org/cgi/content/shor… #biorxiv_neursci
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