| Neural population dynamics during reaching are better explained by a dynamical system than representational tuning JA Michaels, B Dann, H Scherberger PLoS computational biology 12 (11), e1005175, 2016 | 151 | 2016 |
| A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping JA Michaels, S Schaffelhofer, A Agudelo-Toro, H Scherberger Proceedings of the national academy of sciences 117 (50), 32124-32135, 2020 | 97* | 2020 |
| Uniting functional network topology and oscillations in the fronto-parietal single unit network of behaving primates B Dann, JA Michaels, S Schaffelhofer, H Scherberger Elife 5, e15719, 2016 | 77 | 2016 |
| Predicting reaction time from the neural state space of the premotor and parietal grasping network JA Michaels, B Dann, RW Intveld, H Scherberger Journal of Neuroscience 35 (32), 11415-11432, 2015 | 75 | 2015 |
| Rapid motor responses quickly integrate visuospatial task constraints L Yang, JA Michaels, JA Pruszynski, SH Scott Experimental Brain Research 211, 231-242, 2011 | 50 | 2011 |
| Population coding of grasp and laterality-related information in the macaque fronto-parietal network JA Michaels, H Scherberger Scientific reports 8 (1), 1710, 2018 | 45 | 2018 |
| Neural dynamics of variable Grasp-Movement preparation in the macaque frontoparietal network JA Michaels, B Dann, RW Intveld, H Scherberger Journal of Neuroscience 38 (25), 5759-5773, 2018 | 29 | 2018 |
| Neural coding of intended and executed grasp force in macaque areas AIP, F5, and M1 RW Intveld, B Dann, JA Michaels, H Scherberger Scientific Reports 8 (1), 17985, 2018 | 27 | 2018 |
| Myomatrix arrays for high-definition muscle recording B Chung, M Zia, KA Thomas, JA Michaels, A Jacob, A Pack, MJ Williams, ... Elife 12, RP88551, 2023 | 12 | 2023 |
| MotorNet: a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks O Codol, JA Michaels, M Kashefi, JA Pruszynski, PL Gribble bioRxiv, 2023.02. 17.528969, 2023 | 5 | 2023 |
| hebbRNN: A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks JA Michaels, H Scherberger The Journal of Open Source Software 2016, 2016 | 5 | 2016 |
| Accurate neuroprosthetic control through latent state transition training A Agudelo-Toro, JA Michaels, WA Sheng, H Scherberger bioRxiv, 2023.06. 02.543242, 2023 | | 2023 |
| Aiming for stable control O Codol, G Ariani, JA Michaels Nature Neuroscience 23 (3), 298-300, 2020 | | 2020 |
| Towards population coding principles in the primate premotor and parietal grasping network JA Michaels Niedersächsische Staats-und Universitätsbibliothek Göttingen, 2017 | | 2017 |
| Separable decoding of cue, intention, and movement information from the fronto-parietal grasping-network B Dann, JA Michaels, H Scherberger Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI …, 2016 | | 2016 |
Hansjörg ScherbergerNeurobiology Lab, German Primate Center & University of Göttingen, Germany在 gwdg.de 的电子邮件经过验证
