HBPNeuromorphic

[Electronic Vision(s) - in memoriam Karlheinz Meier @BrainScaleS]

Read all about the #neuromorphic circuits giving BrainScaleS-2 its unique features, flexibility and unprecedented accuracy! Accepted for @IEEEICECS 2022: https://t.co/orWJ9A7Tae!

[NeuroTMA Lab @NeuroTMA]

And the article "Variational learning of quantum ground states on spiking neuromorphic hardware" is out in @iScience_CP! Well done R. Klassert et al.!
@GaerttnerGroup @BrainScaleS @structures_hd @HumanBrainProj @HBPNeuromorphic @dfg_public Manfred Stärk Foundation @bwstiftung

[Electronic Vision(s) - in memoriam Karlheinz Meier @BrainScaleS]

Simulate with EBRAINS! Learn about the research infrastructure and Fenix resources for simulations on a scale from molecules via small and large networks of point or structured spiking neurons to simplified whole brain activity and virtual environments! https://t.co/R6bEaHgak2

[NeuroSys_Cluster @NeuroSysCluster]

Only one week to go... Then we'll see you at our 1st Jülich-Aachen Neuromorphic Computing Day. We are looking forward to see you there!! #neuromorphic #artificialintelligence #semiconductor #clusters4future #zukunftscluster #innovation https://t.co/z1YSQsBcSM

[Electronic Vision(s) - in memoriam Karlheinz Meier @BrainScaleS]

Uniting efficiency and usability of #neuromorphic computing! "A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware" explains the experiment workflow, API layering, software design, and platform operation for @BrainScaleS-2! https://t.co/MoqskhJ4ah

[NeuroTMA Lab @NeuroTMA]

The Yin-Yang dataset is now published in the @NICE_Workshop Proceedings!
Congrats to Laura Kriener and Julian Göltz 🥳👏
https://t.co/eZfe60p3Mt

@BrainScaleS @HumanBrainProj @EBRAINS_eu #DeepLearning #ArtificialIntelligence #MachineLearning

[EBRAINS Computing Services @HBPHighPerfComp]

📚New book chapter by our @HBPNeuromorphic @BrainScaleS colleauges about
"Accelerated Analog Neuromorphic Computing"
https://t.co/RD3SBDLNVw
#OpenAccess: https://t.co/EdJ6yNKlDN

[Juan Lerma @JuanLerma1]

A new fantastic Special Issue is available in Neuroscience: Dendritic contributions to biological and artificial computations by Guest Editors
@YiotaPoirazi & @SchillerJackie. Look out https://t.co/FozEvfDUGn @NeurosciIBRO @ELSneuroscience

[Electronic Vision(s) - in memoriam Karlheinz Meier @BrainScaleS]

Vom Gehirn inspirierte KI: Was ist Neuromorphic Computing? https://t.co/BsHRBAokSB @mixed_de @NeuroTMA

[Electronic Vision(s) - in memoriam Karlheinz Meier @BrainScaleS]

Software for #neuromorphic hardware is a challenge! Our new pre-print "A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware" explains how it is done for @BrainScaleS-2! https://t.co/f3U6Di1N69

[Electronic Vision(s) - in memoriam Karlheinz Meier @BrainScaleS]

The 9th Neuro Inspired Computational Elements Conference (NICE 2022) starts next week (29 March - 1 April 2022)!

The workshop offers #neuromorphic computing related talks as well as SpiNNaker, @BrainScaleS and Loihi hands-on sessions.

https://t.co/qiVYGY2WbE @NICE_Workshop

[Electronic Vision(s) - in memoriam Karlheinz Meier @BrainScaleS]

With a couple of pages on #neuromorphic computing!

[NeuroTMA Lab @NeuroTMA]

What better way to spend the coming Saturday evening than attending Andreas Baumbach's talk at the #SIAMPP22 mini-symposium on Neuromorphic Architectures at 8.30 pm CET (Feb 26)?
-> Abstract: https://t.co/mla9Ve53Zx

@BrainScaleS

[Electronic Vision(s) - in memoriam Karlheinz Meier @BrainScaleS]

Read all about the @BrainScaleS-2 Accelerated #Neuromorphic System With Hybrid Plasticity by @ChristianPehle et al. in @FrontNeurosci!

https://t.co/tkUMpU0GVY

[Allison Whitten, PhD @allisonpwhitten]

Neuromorphic chips could be the energy-saving future of AI. But there’s been a major setback for analog chips, which most closely model the efficient processing of brains. Today in @QuantaMagazine I cover new exciting progress with the @BrainScaleS-2 chip.
https://t.co/Xg4DjKgevQ

[NeuroTMA Lab @NeuroTMA]

Thank you @HumanBrainProj for highlighting our TTFS work with @BrainScaleS and others!!

[Human Brain Project @HumanBrainProj]

Closeup of the #neuromorphic chip HICANN-DLS-SR-HX v2.

[Stef Czischek @sCzischek]

This took some time, but I’m happy to see our first demonstration of representing entangled quantum states with the @BrainScaleS spiking neuromorphic chip published in @SciPost_Physics 😀
Fun and interesting project with @GaerttnerGroup @NeuroTMA @SynQS @UniHeidelberg @unibern

[Friedemann Zenke @hisspikeness]

Out now, "Surrogate gradients for analog neuromorphic computing." We show that learning self-calibrates analog spiking hardware, an essential step toward bio-inspired ultra-low-power computing. Very proud of this collab between @FMIscience & @BrainScaleS.
https://t.co/Tvpw7mYjjY

[Electronic Vision(s) - in memoriam Karlheinz Meier @BrainScaleS]

From point to structured neurons! Jakob shows you how to run experiments on the @BrainScaleS #neuromorphic hardware via @EBRAINS_eu: https://t.co/PiFZBIbt3q!