J
Jochen Martin Eppler
Researcher at University of Freiburg
Publications - 11
Citations - 1203
Jochen Martin Eppler is an academic researcher from University of Freiburg. The author has contributed to research in topics: Python (programming language) & Embodied cognition. The author has an hindex of 7, co-authored 10 publications receiving 1067 citations. Previous affiliations of Jochen Martin Eppler include Honda.
Papers
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Journal ArticleDOI
PyNN: A Common Interface for Neuronal Network Simulators.
Andrew P. Davison,Daniel Brüderle,Jochen Martin Eppler,Jens Kremkow,Eilif Muller,Dejan Pecevski,Laurent Perrinet,Pierre Yger +7 more
TL;DR: PyNN increases the productivity of neuronal network modelling by providing high-level abstraction, by promoting code sharing and reuse, and by providing a foundation for simulator-agnostic analysis, visualization and data-management tools.
Journal ArticleDOI
PyNEST: A Convenient Interface to the NEST Simulator.
TL;DR: PyNEST, the new user interface to NEST, combines NEST's efficient simulation kernel with the simplicity and flexibility of Python, and makes it easier to set up simulations, generate stimuli, and analyze simulation results.
Book ChapterDOI
Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers
TL;DR: The neural simulation tool NEST is presented, a neuronal network simulator which uses a hybrid strategy, combining distributed simulation across cluster nodes (MPI) with thread-based simulation on each computer, to simulate very large networks with acceptable time and memory requirements.
Journal ArticleDOI
Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework
Mikael Djurfeldt,Johannes Hjorth,Jochen Martin Eppler,Jochen Martin Eppler,Niraj Dudani,Moritz Helias,Tobias C. Potjans,Upinder S. Bhalla,Markus Diesmann,Markus Diesmann,Jeanette Hellgren Kotaleski,Örjan Ekeberg +11 more
TL;DR: It is concluded that MUSIC fulfills the design goal that it should be simple to adapt existing simulators to use MUSIC and could be built from pluggable component modules without adaptation of the components to each other in terms of simulation time-step or topology of connections between the modules.