Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Markus eDiesmann"'
Autor:
Jan eHahne, Moritz eHelias, Susanne eKunkel, Jun eIgarashi, Matthias eBolten, Andreas eFrommer, Markus eDiesmann
Publikováno v:
Frontiers in Neuroinformatics, Vol 9 (2015)
Contemporary simulators for networks of point and few-compartment model neurons come with a plethora of ready-to-use neuron and synapse models and support complex network topologies. Recent technological advancements have broadened the spectrum of ap
Externí odkaz:
https://doaj.org/article/5148c10dbdb14213ae067d002ec16257
Autor:
Eilif eMuller, James A Bednar, Markus eDiesmann, Marc-Oliver eGewaltig, Michael eHines, Andrew P Davison
Publikováno v:
Frontiers in Neuroinformatics, Vol 9 (2015)
Externí odkaz:
https://doaj.org/article/eee08e05d404421386580a7e1caab517
Autor:
Susanne eKunkel, Maximilian eSchmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen eMasumoto, Jun eIgarashi, Shin eIshii, Tomoki eFukai, Abigail eMorrison, Markus eDiesmann, Moritz eHelias
Publikováno v:
Frontiers in Neuroinformatics, Vol 8 (2014)
Brain-scale networks exhibit a breathtaking heterogeneity in the dynamical properties and parameters of their constituents. At cellular resolution, the entities of theory are neurons and synapses and over the past decade researchers have learned to m
Externí odkaz:
https://doaj.org/article/d213c0ffd0914907801c67911aafd2f5
Publikováno v:
Frontiers in Computational Neuroscience, Vol 7 (2014)
Pattern formation, i.e., the generation of an inhomogeneous spatial activity distribution in a dynamical system with translation invariant structure, is a well-studied phenomenon in neuronal network dynamics,specifically in neural field models. These
Externí odkaz:
https://doaj.org/article/2df4f0feaf4446f28d5329520dffe9ae
Publikováno v:
Frontiers in Computational Neuroscience, Vol 7 (2013)
The diversity of neuron models used in contemporary theoretical neuroscience to investigate specific properties of covariances in the spiking activity raises the question how these models relate to each other. In particular it is hard to distinguish
Externí odkaz:
https://doaj.org/article/6720e0dc667647a59750914c66425afd
Publikováno v:
Frontiers in Computational Neuroscience, Vol 7 (2013)
This article discusses the compositional structure of hand movements by analyzing and modeling neural and behavioral data obtained from experiments where a monkey (Macaca fascicularis) performed scribbling movements induced by a search task. Using ge
Externí odkaz:
https://doaj.org/article/97f40a5b2767410495fddc20a8343568
Publikováno v:
Frontiers in Neuroinformatics, Vol 6 (2012)
The CoCoMac database contains the results of published axonal tract-tracing studies in the macaque brain. The combined data are used to construct the macaque macro-connectome. We discuss the redevelopment of CoCoMac and compare it to six connectome-r
Externí odkaz:
https://doaj.org/article/6bb5f74e14ad4fb287a61004b2be5d30
Autor:
Moritz eHelias, Susanne eKunkel, Gen eMasumoto, Jun eIgarashi, Jochen Martin Eppler, Shin eIshii, Tomoki eFukai, Abigail eMorrison, Markus eDiesmann
Publikováno v:
Frontiers in Neuroinformatics, Vol 6 (2012)
NEST is a widely used tool to simulate biological spiking neural networks. Here we explain theimprovements, guided by a mathematical model of memory consumption, that enable us to exploitfor the first time the computational power of the K supercomput
Externí odkaz:
https://doaj.org/article/ab9c08a0538e4db9bea9ac2145285f77
Autor:
Thomas ePfeil, Tobias C Potjans, Sven eSchrader, Wiebke ePotjans, Johannes eSchemmel, Markus eDiesmann, Karlheinz eMeier
Publikováno v:
Frontiers in Neuroscience, Vol 6 (2012)
Large-scale neuromorphic hardware systems typically bear the trade-off be-tween detail level and required chip resources. Especially when implementingspike-timing-dependent plasticity, reduction in resources leads to limitations ascompared to float
Externí odkaz:
https://doaj.org/article/746d9f3e2bd6489aa27abd627a09846f
Autor:
Susanne eKunkel, Tobias C Potjans, Jochen Martin Eppler, Hans Ekkehard Ekkehard Plesser, Abigail eMorrison, Markus eDiesmann
Publikováno v:
Frontiers in Neuroinformatics, Vol 5 (2012)
The development of high-performance simulation software is crucial for studying the brain connectome. Using connectome data to generate neurocomputational models requires software capable of coping with models on a variety of scales: from the microsc
Externí odkaz:
https://doaj.org/article/0b31e97a5ec64a9c8c9c2d02f3c18689