Anatomical Network Model with Embedded Synfire Chains is Consistent with Cortical Spatio-Temporal Spike Patterns

Autor: Kleinjohann, Alexander, Berling, David, Stella, Alessandra, Palm, Günther, Tetzlaff, Tom, Grün, Sonja

Publikováno v: 32nd Annual Computational Neuroscience Meeting, CNS 2023, Leipzig, Germany, 2023-07-15-2023-07-26

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3364::18a9464af6dca68766d4916ff8854eca
https://juser.fz-juelich.de/record/1009378

Can Spatio-Temporal Spike Patterns Found in Experimental Data be Explained by the Synfire Chain Model?

Autor: Berling, David, Tetzlaff, Tom, Kleinjohann, Alexander, Stella, Alessandra, Diesmann, Markus, Grün, Sonja

Publikováno v: Bernstein Conference 2019, Berlin, Germany, 2019-09-17-2019-09-20
Bernstein Conference 2019, Berlin, RWTH Aachen, Germany, 2019-09-17-2019-09-20

To investigate cortical network interactions during a reach-to-grasp task [1], we analyzed spatio-temporal patterns (STPs) in massively parallel spike data. Using the SPADE analysis [2,3], we found significant STPs in about 100 simultaneously recorde

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10551487a68ea2114cdf573ac62849ed

Optimizing the HLT Buffer Strategy with Monte Carlo Simulations

Autor: Berling, David Maximilian

This project aims to optimize the strategy of utilizing the disk buffer for the High Level Trigger (HLT) of the LHCb experiment with the help of Monte-Carlo simulations. A method is developed, which simulates the Event Filter Farm (EFF) -- a computin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od________65::2aae3c1b946e7a575a64b616d63c6940
http://cds.cern.ch/record/2284429