no code implementations • 8 Nov 2023 • Muhammad Ali Siddiqi, David Vrijenhoek, Lennart P. L. Landsmeer, Job van der Kleij, Anteneh Gebregiorgis, Vincenzo Romano, Rajendra Bishnoi, Said Hamdioui, Christos Strydis
One particular area of interest is acquiring recordings from the Purkinje cells in the cerebellum in order to understand brain injuries and the loss of motor functions.
1 code implementation • 31 Jan 2023 • Lennart P. L. Landsmeer, Max C. W. Engelen, Rene Miedema, Christos Strydis
Challenging the Nvidia monopoly, dedicated AI-accelerator chips have begun emerging for tackling the computational challenge that the inference and, especially, the training of modern deep neural networks (DNNs) poses to modern computers.
no code implementations • 12 Jun 2021 • Sotirios Panagiotou, Harry Sidiropoulos, Mario Negrello, Dimitrios Soudris, Christos Strydis
In this work, we present EDEN (Extensible Dynamics Engine for Networks), a new general-purpose, NeuroML-based neural simulator that achieves both high model flexibility and high computational performance, through an innovative model-analysis and code-generation technique.
1 code implementation • 14 Oct 2020 • Stefan Zwaard, Henk-Jan Boele, Hani Alers, Christos Strydis, Casey Lew-Williams, Zaid Al-Ars
Results show that the aggregation of models for the HOG algorithm using MWMA not only preserves the accuracy of the model but also allows for distributed learning with an accuracy increase of 0. 9% compared with traditional learning.
no code implementations • 1 Jun 2020 • Paul Bakker, Henk-Jan Boele, Zaid Al-Ars, Christos Strydis
To demonstrate the usefulness of our eyelid-detection algorithm, a research hypothesis was formed and a well-established neuroscientific experiment was employed: eyeblink detection.
no code implementations • 5 Dec 2016 • Georgios Smaragdos, Georgios Chatzikonstantis, Rahul Kukreja, Harry Sidiropoulos, Dimitrios Rodopoulos, Ioannis Sourdis, Zaid Al-Ars, Christoforos Kachris, Dimitrios Soudris, Chris I. De Zeeuw, Christos Strydis
Approach: In this paper we propose and build BrainFrame, a heterogeneous acceleration platform, incorporating three distinct acceleration technologies, a Dataflow Engine, a Xeon Phi and a GP-GPU.