D. Terhorst
A5045645587- Neutrino Physics Research
- Particle physics theoretical and experimental studies
- Astrophysics and Cosmic Phenomena
- Muon and positron interactions and applications
- Particle accelerators and beam dynamics
- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Dark Matter and Cosmic Phenomena
- Neural Networks and Applications
- Banking Systems and Strategies
- Noncommutative and Quantum Gravity Theories
- Computer Graphics and Visualization Techniques
- Particle Detector Development and Performance
- Calibration and Measurement Techniques
- Functional Brain Connectivity Studies
- Medical Image Segmentation Techniques
- Semantic Web and Ontologies
- CCD and CMOS Imaging Sensors
- Neuroscience and Neural Engineering
Forschungszentrum Jülich
2022
Jülich Aachen Research Alliance
2022
RWTH Aachen University
2011-2018
University of Alberta
2013
University of California, Irvine
2013
Chonnam National University
2013
Boston University
2013
Institute of Particle Physics
2013
Abstract Full scale simulations of neuronal network models the brain are challenging due to high density connections between neurons. This contribution reports run times shorter than simulated span biological time for a full model local cortical microcircuit with explicit representation synapses on recent conventional compute node. Realtime performance is relevant robotics and closed-loop applications while sub-realtime desirable study learning development in brain, processes extending over...
Modern computational neuroscience strives to develop complex network models explain dynamics and function of brains in health disease. This process goes hand with advancements the theory neuronal networks increasing availability detailed anatomical data on brain connectivity. Large-scale that study interactions between multiple areas intricate connectivity investigate phenomena long time scales such as system-level learning require progress simulation speed. The corresponding development...