Computational Neuroscience research group led by Walter Senn @unibern https://xitter.cf/t.co/JqH2AgMwx7
Berne, Switzerland
Joined November 2021
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CompNeuro Lab retweeted
#PeerReview from @eLife of 👉🏿 Uncertainty-modulated prediction errors in cortical microcircuits biorxiv.org/content/10.1101/… #biorxiv #reviewedpreprint
CompNeuro Lab retweeted
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/…
CompNeuro Lab retweeted
🏷️:Unsigned temporal difference errors in cortical L5 dendrites during learning
🔗:doi.org/10.1101/2021.12.28.4…
CompNeuro Lab retweeted
Prospective and retrospective coding in cortical neurons. arxiv.org/abs/2405.14810
CompNeuro Lab retweeted
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.…
CompNeuro Lab retweeted
Prospective and retrospective coding in cortical neurons. arxiv.org/abs/2405.14810
CompNeuro Lab retweeted
Increased perceptual reliability reduces membrane potential variability in cortical neurons biorxiv.org/cgi/content/shor… #biorxiv_neursci
CompNeuro Lab retweeted
You’ll need to add this one to the graph! Beautiful work from Walter Senn and colleagues: biorxiv.org/content/10.1101/…
CompNeuro Lab retweeted
DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers
frontiersin.org/journals/rad…
CompNeuro Lab retweeted
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/10.1101/…
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
CompNeuro Lab retweeted
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/de…
CompNeuro Lab retweeted
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).
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 📅
CompNeuro Lab retweeted
Happy to present today and tomorrow three of our projects at #SNUFA24 Go Team!
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
CompNeuro Lab retweeted
Happy to have participated and presented our work at the last @BernsteinNeuro!
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
CompNeuro Lab retweeted
Hierarchy of prediction errors shapes the learning of context-dependent sensory representations biorxiv.org/cgi/content/shor… #biorxiv_neursci
CompNeuro Lab retweeted
Unsigned temporal difference errors in cortical L5 dendrites during learning
biorxiv.org/content/10.1101/…