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 | 40 | 2018 |
NEST 2.20. 1 T Fardet, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, I Kitayama, ... Computational and Systems Neuroscience, 2020 | 34 | 2020 |
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 | 21 | 2018 |
NEST 3.3 S Spreizer, J Mitchell, R Gutzen, M Lober, C Linssen, G Trensch, J Jordan, ... Computational and Systems Neuroscience, 2022 | 11 | 2022 |
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 | 5 | 2023 |
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 | 3 | 2023 |
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 | 2 | 2024 |
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 | 1 | 2022 |
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 | 1 | 2020 |
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 | 1 | 2020 |
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 |