Electronic Vision(s) - in memoriam Karlheinz Meier

@BrainScaleS

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
Vrijeme pridruživanja: ožujak 2011.

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  1. 3. velj
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  3. 21. sij

    The exhibition "Faszination Gehirn" at () presenting, amongst others, the research of the !

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  4. Recommended first read of 2020 "Versatile emulation of spiking neural networks on an accelerated substrate" by S. Billaudelle et al. !

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  5. New on arXiv: "Structural plasticity on an accelerated analog neuromorphic hardware system" by S. Billaudelle et al.!

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  6. An xmas present new on arXiv "Fast and deep learning with time-to-first-spike coding" by J. Goeltz et al. !

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  8. Why has evolution chosen spiking neurons as the elementary units of cortical communication and computation? HBP scientist Dr. Mihai Petrovici is one step closer to finding out. Read 'Order from chaos, chaos from order':

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  9. 14. pro 2019.

    Cool two-page paper from : Lagrangian dynamics of dendritic microcircuits enables real-time backpropagation of errors // Neuronal dynamics probably minimises a Lagrangian. Might there be other papers like it? cc: ,

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  10. A lot of interest for our research during the annual working group exhibition at the Kirchhoff-Institute for Physics of !

    Electronic Vision(s) presenting neuromorphic computing at the working group exhibition at KIP
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  11. Recommended reading: "Deterministic networks for probabilistic computing" by Jordan et al.!

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  13. Full house at the lab tour during 's CodeJam #10 !

    Participants during the neuromorphic lab tour
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  14. Congratulations to Dominik Dold, Akos Kungl and Luziwei Leng for their first prize at the ICCBC 2019!

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  15. One of the authors of the paper, Dr Karlheinz Meier is credited posthumously. Heidelberg Uni. Professor Meier was a founder of the Human Brain Project & served as Infrastructure Director until he died suddenly a year and three weeks ago. Find out more >>

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  16. Hot off the press: "Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks"!

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  18. 17. lis 2019.

    Today we introduce two large spike-based data sets for the quantitative comparison of spiking neural network architectures and neuromorphic hardware. Creative Commons License. Data: Paper:

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  19. 30. ruj 2019.

    Report on Dagstuhl Seminar " Techniques and Methodologies for " is online

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  20. New on arXiv: "Control of criticality and computation in spiking networks with plasticity" by Cramer et al.!

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