Fundamental Parameters Related to Selenium Kα and Kβ Emission X-ray Spectra

Autor: Mauro Guerra, Jorge M. Sampaio, Gonçalo R. Vília, César A. Godinho, Daniel Pinheiro, Pedro Amaro, José P. Marques, Jorge Machado, Paul Indelicato, Fernando Parente, José Paulo Santos

Publikováno v: Atoms, Vol 9, Iss 1, p 8 (2021)

We present relativistic ab initio calculations of fundamental parameters for atomic selenium, based on the Multiconfiguration Dirac-Fock method. In detail, fluorescence yields and subshell linewidths, both of K shell, as well as Kβ to Kα intensity

Externí odkaz: https://doaj.org/article/a64976a611eb489a8b160636ffee3c70

Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model

Autor: Sacha J. van Albada, Andrew G. Rowley, Johanna Senk, Michael Hopkins, Maximilian Schmidt, Alan B. Stokes, David R. Lester, Markus Diesmann, Steve B. Furber

Publikováno v: Frontiers in Neuroscience, Vol 12 (2018)

The digital neuromorphic hardware SpiNNaker has been developed with the aim of enabling large-scale neural network simulations in real time and with low power consumption. Real-time performance is achieved with 1 ms integration time steps, and thus a

Externí odkaz: https://doaj.org/article/96daba9465814c4c9be69d2ab67d5fe9

Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model

Autor: van Albada, Sacha, Rowley, Andrew G., Senk, Johanna, Hopkins, Michael, Schmidt, Maximilian, Stokes, Alan B., Lester, David R., Diesmann, Markus, Furber, Steve B.

Publikováno v: Frontiers in Neuroscience
Frontiers in neuroscience 12, 291 (2018). doi:10.3389/fnins.2018.00291
Van Albada, S J, Rowley, A G, Senk, J, Hopkins, M, Schmidt, M, Stokes, A B, Lester, D R, Diesmann, M & Furber, S B 2018, ' Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model ', Frontiers in Neuroscience, vol. 12, no. MAY, 291 . https://doi.org/10.3389/fnins.2018.00291

Frontiers in neuroscience 12, 291 (2018). doi:10.3389/fnins.2018.00291
Published by Frontiers Research Foundation, Lausanne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::991df696b461cf2092d66ce494f309c5
https://pubmed.ncbi.nlm.nih.gov/29875620

GPUs outperform current HPC and neuromorphic solutions in terms of speed and energy when simulating a highly-connected cortical model

Autor: Thomas Nowotny, James C. Knight

Publikováno v: Frontiers in Neuroscience, Vol 12 (2018)
Frontiers in Neuroscience

While neuromorphic systems may be the ultimate platform for deploying spiking neural networks (SNNs), their distributed nature and optimisation for specific types of models makes them unwieldy tools for developing them. Instead, SNN models tend to be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad7d66c1676ecbabfce9520d4ca7b1e6
http://sro.sussex.ac.uk/id/eprint/80748/3/fnins-12-00941.pdf

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.