| Key bifurcations of bursting polyrhythms in 3-cell central pattern generators J Wojcik, J Schwabedal, R Clewley, AL Shilnikov PloS one 9 (4), e92918, 2014 | 86 | 2014 |
| Phase Description of Stochastic Oscillations JTC Schwabedal, A Pikovsky arXiv preprint arXiv:1301.6852, 2013 | 80 | 2013 |
| Alpha‐wave frequency characteristics in health and insomnia during sleep JTC Schwabedal, M Riedl, T Penzel, N Wessel Journal of sleep research 25 (3), 278-286, 2016 | 58 | 2016 |
| Optimal phase description of chaotic oscillators JTC Schwabedal, A Pikovsky, B Kralemann, M Rosenblum Arxiv preprint arXiv:1110.4190, 2011 | 39 | 2011 |
| Effective phase dynamics of noise-induced oscillations in excitable systems JTC Schwabedal, A Pikovsky Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 81 (4 …, 2010 | 39 | 2010 |
| Noise-induced precursors of tonic-to-bursting transitions in hypothalamic neurons and in a conductance-based model HA Braun, J Schwabedal, M Dewald, C Finke, S Postnova, MT Huber, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 21 (4), 2011 | 37 | 2011 |
| Robust design of polyrhythmic neural circuits JTC Schwabedal, AB Neiman, AL Shilnikov Physical Review E 90 (2), 022715, 2014 | 34 | 2014 |
| Addressing class imbalance in classification problems of noisy signals by using fourier transform surrogates JTC Schwabedal, JC Snyder, A Cakmak, S Nemati, GD Clifford arXiv preprint arXiv:1806.08675, 2018 | 29 | 2018 |
| Coupling and dynamics of cortical and autonomic signals are linked to central inhibition during the wake-sleep transition C Ulke, J Huang, JTC Schwabedal, G Surova, R Mergl, T Hensch Scientific Reports 7 (1), 11804, 2017 | 26 | 2017 |
| Qualitative and quantitative stability analysis of penta-rhythmic circuits JTC Schwabedal, DE Knapper, AL Shilnikov Nonlinearity 29 (12), 3647, 2016 | 26 | 2016 |
| Advanced sleep spindle identification with neural networks L Kaulen, JTC Schwabedal, J Schneider, P Ritter, S Bialonski Scientific reports 12 (1), 7686, 2022 | 25 | 2022 |
| Sleep spindles in bipolar disorder–a comparison to healthy control subjects PS Ritter, J Schwabedal, M Brandt, W Schrempf, F Brezan, A Krupka, ... Acta Psychiatrica Scandinavica 138 (2), 163-172, 2018 | 23 | 2018 |
| Optimal extraction of collective oscillations from unreliable measurements JTC Schwabedal, H Kantz Physical review letters 116 (10), 104101, 2016 | 21 | 2016 |
| Automated scoring of pre-REM sleep in mice with deep learning N Grieger, JTC Schwabedal, S Wendel, Y Ritze, S Bialonski Scientific Reports 11 (1), 12245, 2021 | 19 | 2021 |
| Effective phase description of noise-perturbed and noise-induced oscillations JTC Schwabedal, A Pikovsky The European Physical Journal Special Topics 187 (1), 63-76, 2010 | 15 | 2010 |
| Automated classification of sleep stages and EEG artifacts in mice with deep learning JTC Schwabedal, D Sippel, MD Brandt, S Bialonski arXiv preprint arXiv:1809.08443, 2018 | 13 | 2018 |
| Disruption of NREM sleep and sleep-related spatial memory consolidation in mice lacking adult hippocampal neurogenesis D Sippel, J Schwabedal, JC Snyder, CN Oyanedel, SN Bernas, A Garthe, ... Scientific reports 10 (1), 16467, 2020 | 8 | 2020 |
| Parametric phase diffusion analysis of irregular oscillations JTC Schwabedal Europhysics Letters 107 (6), 68001, 2014 | 8 | 2014 |
| Addressing class imbalance in classification problems of noisy signals by using fourier transform surrogates. arXiv 2018 JTC Schwabedal, JC Snyder, A Cakmak, S Nemati, GD Clifford arXiv preprint arXiv:1806.08675, 0 | 5 | |
| Differentially private generation of small images JTC Schwabedal, P Michel, MS Riontino arXiv preprint arXiv:2005.00783, 2020 | 2 | 2020 |
Arkady PikovskyProfessor for Theoretical Physics (em.), Potsdam University, GermanyEmail verificata su uni-potsdam.de