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Robin Gutzen
Robin Gutzen
在 nyu.edu 的电子邮件经过验证 - 首页
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Reproducible neural network simulations: statistical methods for model validation on the level of network activity data
R Gutzen, M Von Papen, G Trensch, P Quaglio, S Grün, M Denker
Frontiers in neuroinformatics 12, 90, 2018
402018
NEST 2.20. 1
T Fardet, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, I Kitayama, ...
Computational and Systems Neuroscience, 2020
342020
Rigorous neural network simulations: a model substantiation methodology for increasing the correctness of simulation results in the absence of experimental validation data
G Trensch, R Gutzen, I Blundell, M Denker, A Morrison
Frontiers in neuroinformatics 12, 81, 2018
212018
NEST 3.3
S Spreizer, J Mitchell, R Gutzen, M Lober, C Linssen, G Trensch, J Jordan, ...
Computational and Systems Neuroscience, 2022
112022
Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse
C Capone, C De Luca, G De Bonis, R Gutzen, I Bernava, E Pastorelli, ...
Communications biology 6 (1), 266, 2023
52023
NEST 3.3, 2022
S Spreizer, J Mitchell, J Jordan, W Wybo, A Kurth, SB Vennemo, J Pronold, ...
URL https://zenodo. org/record/6368023, 0
5
Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles
R Gutzen, S Grün, M Denker
Biosystems 223, 104813, 2023
32023
A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
R Gutzen, G De Bonis, C De Luca, E Pastorelli, C Capone, ALA Mascaro, ...
Cell Reports Methods 4 (1), 2024
22024
Comparing apples to apples--Using a modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
R Gutzen, G De Bonis, C De Luca, E Pastorelli, C Capone, ALA Mascaro, ...
arXiv preprint arXiv:2211.08527, 2022
12022
Building adaptable and reusable pipelines for investigating the features of slow cortical rhythms across scales, methods, and species
R Gutzen, G Mattheisen, FS Pavone, M Mattia, F Resta, ...
Bernstein Conference, 2020
12020
Multi-scale, multi-species, multi-methodology experiments, analysis tools and simulation models of Brain States and Complexity in SP3-UseCase002
G De Bonis, A Camassa, FS Pavone, JF Storm, F Resta, R Gutzen, ...
Human Brain Project Summit, 2020
12020
Cobrawap as a tool for inspecting and explaining learning performance of bio-inspired artificial neural networks
G De Bonis, C Lupo, F Marmoreo, A Cardinale, G Gaglioti, T Nieus, ...
2024
Assessing the similarity of real matrices with arbitrary shape
J Albers, AC Kurth, R Gutzen, A Morales-Gregorio, M Denker, S Grün, ...
arXiv preprint arXiv:2403.17687, 2024
2024
Analysis and quantitative comparison of neural network dynamics on a neuron-wise and population level
R Gutzen
Computational and Systems Neuroscience, 2024
2024
Exploring the diversity of cortical wave activity with a unifying workflow approach
R Gutzen
Concluding Event of the Human Brain Project, 2023
2023
Towards classification of spatio-temporal wave patterns based on principal component analysis
J Ito, M Denker, S Krauße, R Gutzen, S Grün
32nd Annual Computational Neuroscience Meeting, 2023
2023
Relating the orientation of cortical traveling waves and co-occurring spike patterns
S Krauße, M Denker, R Gutzen, A Stella, T Brochier, S Grün, A Riehle
15th Goettingen Meeting of the German Neuroscience Society, 2023
2023
HBP Summit 2023-Exhibition Booth on EBRAINS Brain Modelling and Simulation Workflows
A Elfgen, E Giacalone, M Denker, J Hjorth, S Spreizer, JG King, M Kern, ...
Computational and Systems Neuroscience, 2023
2023
Blocks instead of puzzles pieces-analyzing cortical wave activity across scales in an adaptable framework
R Gutzen
Brain Activity across Scales and Species: Analysis of Experiments and …, 2022
2022
Cobrawap: a modular cortical wave analysis pipeline for heterogeneous data
R Gutzen, ALA Mascaro, PS Paolucci, A Davison, MV Sanchez-Vives, ...
OHBM Conference, 2022
2022
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