Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density

Autor: Korcsak-Gorzo, Agnes, Linssen, Charl, Albers, Jasper, Dasbach, Stefan, Duarte, Renato, Kunkel, Susanne, Morrison, Abigail, Senk, Johanna, Stapmanns, Jonas, Tetzlaff, Tom, Diesmann, Markus, van Albada, Sacha J.

This chapter sheds light on the synaptic organization of the brain from the perspective of computational neuroscience. It provides an introductory overview on how to account for empirical data in mathematical models, implement such models in software

Externí odkaz: http://arxiv.org/abs/2212.05354

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers

Autor: Pronold, Jari, Jordan, Jakob, Wylie, Brian J. N., Kitayama, Itaru, Diesmann, Markus, Kunkel, Susanne

Simulation is a third pillar next to experiment and theory in the study of complex dynamic systems such as biological neural networks. Contemporary brain-scale networks correspond to directed graphs of a few million nodes, each with an in-degree and

Externí odkaz: http://arxiv.org/abs/2109.12855

Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring

Autor: Pronold, Jari, Jordan, Jakob, Wylie, Brian J. N., Kitayama, Itaru, Diesmann, Markus, Kunkel, Susanne

Publikováno v: Pronold, Jari; Jordan, Jakob; Wylie, Brian J N; Kitayama, Itaru; Diesmann, Markus; Kunkel, Susanne (2022). Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring. Frontiers in neuroinformatics, 15, p. 785068. Frontiers Research Foundation 10.3389/fninf.2021.785068
Frontiers in Neuroinformatics, Vol. 15
Frontiers in neuroinformatics 15, 1-14 (2022). doi:10.3389/fninf.2021.785068 special issue: "Neuroscience, Computing, Performance, and Benchmarks: Why It Matters to Neuroscience How Fast We Can Compute"
Frontiers in neuroinformatics 15, 785068 (2022). doi:10.3389/fninf.2021.785068

Frontiers in neuroinformatics 15, 1-14 (2022). doi:10.3389/fninf.2021.785068 special issue: "Neuroscience, Computing, Performance, and Benchmarks: Why It Matters to Neuroscience How Fast We Can Compute"
Published by Frontiers Research Foundation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5032c0940c45351821ddfeca9ac2332
https://boris.unibe.ch/167656/1/fninf-15-785068.pdf

Women at the interface between neuroscience and high performance computing

Autor: Diaz, Sandra, van Albada, Sacha, Kunkel, Susanne, Bachmann, Claudia, Lu, Han

Publikováno v: Women in Neuroscience Symposium 2022, Tbilisi, Rep of Georgia, 2022-08-12-2022-08-14

In this panel we heard about the work of four excellent scientists from different areas of Neuroscience which intersect with the neighboring scientific field of high performance computing. Our panelists presented about their work and also discuss som

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3364::c2d29859a4773a1d43e86f6b0a18b7aa
https://juser.fz-juelich.de/record/916643

Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions

Autor: Jordan, Jakob, Helias, Moritz, Diesmann, Markus, Kunkel, Susanne

Publikováno v: Frontiers in Neuroinformatics
Frontiers in neuroinformatics 14, 12 (2020). doi:10.3389/fninf.2020.00012
14:12
Jordan, Jakob Jürgen; Helias, Moritz; Diesmann, Markus; Kunkel, Susanne (2020). Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. Frontiers in Neuroinformatics, 14 10.3389/fninf.2020.00012

Frontiers in neuroinformatics 14, 12 (2020). doi:10.3389/fninf.2020.00012
Published by Frontiers Research Foundation, Lausanne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1171d6e686f17b34da26b02e306f525c
https://pubmed.ncbi.nlm.nih.gov/32431602