This account is dedicated to brain inspired computing; founded by the late Prof. Karlheinz Meier, it is now operated by his former colleagues from Heidelberg.
Heidelberg / Germany
Joined March 2011
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Read all about the #neuromorphic circuits giving BrainScaleS-2 its unique features, flexibility and unprecedented accuracy! Accepted for @IEEEICECS 2022: arxiv.org/abs/2209.09280!
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
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
take a look at our blog post we have written describing this work:
mbqd.de/post/2021-variationa…
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! humanbrainproject.eu/en/abou…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
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 lnkd.in/eBHqvrk9
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Applications for NEAL2022 are open! We bring together experts
from the scientific fields of #neuromorphic computing, computational
neuroscience, and robotics! Apply now! neal2022.tetzlab.com
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! doi.org/10.3389/fnins.2022.8…
ALT Overview of the BSS-2 software architecture and its applications. Left side: Colored boxes in the background represent the separation of the software into different concerns. White boxes represent individual software APIs or libraries with their specific repositories names and dependencies. Right side: Various applications concerning different system aspects. The arrows represent dependencies in the stack, where the dependent points to its dependencies. For embedded operation additional dependencies on libnux are needed (dashed arrows).
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
The Yin-Yang dataset is now published in the @NICE_Workshop Proceedings!
Congrats to Laura Kriener and Julian Göltz 🥳👏
dl.acm.org/doi/10.1145/35173…
@BrainScaleS @HumanBrainProj @EBRAINS_eu #DeepLearning #ArtificialIntelligence #MachineLearning
Check out the new Yin-Yang dataset well suited for #neuromorphic research arxiv.org/abs/2102.08211! @NeuroTMA
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
📚New book chapter by our @HBPNeuromorphic @BrainScaleS colleauges about
"Accelerated Analog Neuromorphic Computing"
dx.doi.org/10.1007/978-3-030…
#OpenAccess: arxiv.org/abs/2003.11996
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
A new fantastic Special Issue is available in Neuroscience: Dendritic contributions to biological and artificial computations by Guest Editors
@YiotaPoirazi & @SchillerJackie. Look out sciencedirect.com/science/jo… @NeurosciIBRO @ELSneuroscience
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Chips modeled on “the beauty of the brain” are getting closer to supporting artificial neural networks. quantamagazine.org/ai-overco…
Vom Gehirn inspirierte KI: Was ist Neuromorphic Computing? mixed.de/vom-gehirn-inspirie… @mixed_de @NeuroTMA
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
🚀🚀 How the @BrainScaleS research team at @UniHeidelberg uses Mattermost to build a neuromorphic system that tries to replicate what's currently known about information processing in the mammalian brain 🧠
mattermost.com/customers/hei…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Well done Andi 👏🥳
@BrainScaleS @HumanBrainProj
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! arxiv.org/abs/2203.11102
ALT Overview of the BSS-2 software architecture and its applications. Overview of the BSS-2 software architecture and its applications.
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.
niceworkshop.org/nice-2022/ @NICE_Workshop
ALT Logo of the Neuro Inspired Computational Elements Conference NICE 2022
Communication is important! Read our user story on why we chose @Mattermost and how we integrate it with monitoring (@grafana) and continuous integration/delivery (@jenkinsci) for #neuromorphic computing!
Find out how Mattermost helps the @BrainScaleS neuromorphic computing 🧠🖥️ scientists at @UniHeidelberg stay aligned and move groundbreaking research forward
mattermost.com/customers/hei…
With a couple of pages on #neuromorphic computing!
🎉 We are happy to announce the launch of our latest @HumanBrainProj brochure.
This brochure highlights our latest scientific breakthroughs and achievements.
Take a look at it here 👇
humanbrainproject.eu/en/scie…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
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: siampp22.us2.pathable.com/me…
@BrainScaleS
Read all about the @BrainScaleS-2 Accelerated #Neuromorphic System With Hybrid Plasticity by @ChristianPehle et al. in @FrontNeurosci!
doi.org/10.3389/fnins.2022.7…
ALT Overview of the BrainScaleS-2 System architecture.
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
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.
quantamagazine.org/ai-overco…