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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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    21. sij

    Next up on the agenda: Andrew Rowley introduces participants to the computing platform.

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  5. 11. sij

    Breakthrough results from : "Real-time cortical simulation on hardware" by O. Rhodes et al.!

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

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

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    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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    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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    Recommended reading: "Deterministic networks for probabilistic computing" by Jordan et al.!

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

    Participants during the neuromorphic lab tour
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    Massively parallel biological information processing['s superiority] to human-engineered computing ... may hold the key to overcoming the von Neumann bottleneck limiting contemporary computer architectures. Read More>>

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    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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    4. lis 2019.

    The CodeJam is open to all and takes place from 26-28 Nov in Heidelberg. Registration is open!

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

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    13. ruj 2019.

    The call for papers for the 8th Neuro-Inpsired Computational Elements Workshop is now up! We'll be in Heidelberg Germany next year

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    New publication by D. Dold et al.: "Stochasticity from function - why the Bayesian brain may need no noise"!

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