Jannis Schuecker
Jannis Schuecker
Research Fellow at Fraunhofer IAIS
Bestätigte E-Mail-Adresse bei iais.fraunhofer.de
Titel
Zitiert von
Zitiert von
Jahr
Optimal sequence memory in driven random networks
J Schuecker, S Goedeke, M Helias
arXiv preprint arXiv:1603.01880, 2016
402016
Modulated escape from a metastable state driven by colored noise
J Schuecker, M Diesmann, M Helias
Physical Review E 92 (5), 052119, 2015
312015
Fundamental activity constraints lead to specific interpretations of the connectome
J Schuecker, M Schmidt, SJ van Albada, M Diesmann, M Helias
PLoS computational biology 13 (2), e1005179, 2017
282017
Integration of continuous-time dynamics in a spiking neural network simulator
J Hahne, D Dahmen, J Schuecker, A Frommer, M Bolten, M Helias, ...
Frontiers in neuroinformatics 11, 34, 2017
242017
Functional methods for disordered neural networks
J Schücker, S Goedeke, D Dahmen, M Helias
arXiv preprint arXiv:1605.06758, 2016
132016
NEST 2.8. 0
JM Eppler, R Deepu, C Bachmann, T Zito, A Peyser, J Jordan, R Pauli, ...
JARA-HPC, 2015
82015
Conditions for traveling waves in spiking neural networks
J Senk, K Korvasová, J Schuecker, E Hagen, T Tetzlaff, M Diesmann, ...
arXiv preprint arXiv:1801.06046, 2018
72018
Noise dynamically suppresses chaos in random neural networks
S Goedeke, J Schuecker, M Helias
arXiv preprint arXiv:1603.01880, 2016
42016
Spectral properties of excitable systems subject to colored noise
J Schuecker, M Diesmann, M Helias
arXiv preprint arXiv:1411.0432, 2014
12014
Reduction of colored noise in excitable systems to white noise and dynamic boundary conditions
J Schuecker, M Diesmann, M Helias
arXiv preprint arXiv:1410.8799, 2014
12014
[Re] A neural model of the saccade generator in the reticular formation
M Senden, J Schuecker, J Hahne, M Diesmann, R Goebel
ReScience 4 (1), 2018
2018
How the connectivity structure of neuronal networks influences responses to oscillatory stimuli
H Bos, J Schücker, M Helias
arXiv preprint arXiv:1704.08372, 2017
2017
Identifying and exploiting the anatomical origin of population rate oscillations in multi-layered spiking networks
H Bos, J Schuecker, M Diesmann, M Helias
BMC neuroscience 16 (1), P97, 2015
2015
Identifying and exploiting the anatomical origin of population rate oscillations in spiking networks
H Bos, M Diesmann, J Schücker, M Helias
CNS 2015 Prague, 2015
2015
Identifying critical components in the structure of multi-scale neural networks
J Schücker, M Diesmann, M Schmidt, M Helias, S van Albada
Bernstein Conference 2015, 2015
2015
The transfer function of the LIF model: A reduction from colored to white noise
J Schücker, M Diesmann, M Helias
Eleventh Goettingen Meeting of German Neuroscience Community, 2015
2015
The anatomical origin of locally generated and induced oscillations in a model of the cortical microcircuit
H Bos, M Diesmann, J Schücker, M Helias
SfN, 2015
2015
The transfer function of the LIF model: from white to filtered noise
J Schuecker, M Diesmann, M Helias
BMC neuroscience 15 (1), P146, 2014
2014
Simulating large-scale spiking neuronal networks with NEST
J Schücker, JM Eppler
Computation Neuroscience Conference 2014, 2014
2014
Stability analysis of a multi-area network model of macaque visual cortex
J Schücker, M Diesmann, M Schmidt, S van Albada, M Helias
INM Retreat 2013, 2014
2014
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