CompNeuro Lab @CompNeuro_WS
Computational Neuroscience research group led by Walter Senn @unibern https://t.co/JqH2AgMwx7 physiologie.unibe.ch/~senn/group/ Berne, Switzerland Joined November 2021-
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#PeerReview from @eLife of 👉🏿 Uncertainty-modulated prediction errors in cortical microcircuits biorxiv.org/content/10.110… #biorxiv #reviewedpreprint
New #paper alert! Here, we show that #auditory #stimulation can be used to selectively #suppress slow wave #sleep by 30% without affecting total sleep time. onlinelibrary.wiley.com/doi/10.1111/js…
🏷️:Unsigned temporal difference errors in cortical L5 dendrites during learning 🔗:doi.org/10.1101/2021.1…
Prospective and retrospective coding in cortical neurons. arxiv.org/abs/2405.14810
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…
Prospective and retrospective coding in cortical neurons. arxiv.org/abs/2405.14810
Increased perceptual reliability reduces membrane potential variability in cortical neurons biorxiv.org/cgi/content/sh… #biorxiv_neursci
@LecoqJerome You’ll need to add this one to the graph! Beautiful work from Walter Senn and colleagues: biorxiv.org/content/10.110…
DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers frontiersin.org/journals/radio…
@fchollet a cool recent paper on cortical circuit function is this one, Bengio was actually a co-author on it has cool ties with predictive coding, biologically plausible/backprop free learning biorxiv.org/content/10.110…
For more details see our repo github.com/giant-axon/lu.… and the preprint our researchers from @unibern and @BrainScaleS published arxiv.org/abs/2404.16664
Happy to see that our open source palm-sized analogue neuromorphic hardware Lu.i are used to explain key neuromorphic engineering concepts! carsales.com.au/editorial/deta…
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).
📣 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 📅
Happy to present today and tomorrow three of our projects at #SNUFA24 Go Team!
🧠 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
Happy to have participated and presented our work at the last @BernsteinNeuro!
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
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
Hierarchy of prediction errors shapes the learning of context-dependent sensory representations biorxiv.org/cgi/content/sh… #biorxiv_neursci
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