| Deploying and optimizing embodied simulations of large-scale spiking neural networks on HPC infrastructure B Feldotto, JM Eppler, C Jimenez-Romero, C Bignamini, CE Gutierrez, ... Frontiers in neuroinformatics 16, 884180, 2022 | 14 | 2022 |
| Adapting highly-dynamic compliant movements to changing environments: A benchmark comparison of reflex-vs. cpg-based control strategies A Schmidt, B Feldotto, T Gumpert, D Seidel, A Albu-Schäffer, P Stratmann Frontiers in Neurorobotics 15, 762431, 2021 | 10 | 2021 |
| Clock recovery from data streams containing embedded reference clock values K Chakravarthy US Patent 7,801,261, 2010 | 10* | 2010 |
| The neurorobotics platform robot designer: modeling morphologies for embodied learning experiments B Feldotto, FO Morin, A Knoll Frontiers in Neurorobotics 16, 856727, 2022 | 7 | 2022 |
| Evaluating muscle synergies with EMG data and physics simulation in the neurorobotics platform B Feldotto, C Soare, A Knoll, P Sriya, S Astill, M de Kamps, S Chakrabarty Frontiers in Neurorobotics 16, 856797, 2022 | 5 | 2022 |
| Motion prediction of virtual patterns, human hand motions, and a simplified hand manipulation task with hierarchical temporal memory L Tenbrink, B Feldotto, F Röhrbein, A Knoll 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS), 305-309, 2019 | 4 | 2019 |
| Hebbian learning for online prediction, neural recall and classical conditioning of anthropomimetic robot arm motions B Feldotto, F Walter, F Röhrbein, A Knoll Bioinspiration & Biomimetics 13 (6), 066009, 2018 | 3 | 2018 |
| HBP NeuroRobotics Platform U Albanese, K Sharma, B Feldotto, M Akl, S Weber, H Mahmud, ... Zenodo, 2018 | 2 | 2018 |
| Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers … Y Kuniyoshi, R Kuriyama, S Omura, CE Gutierrez, Z Sun, B Feldotto, ... Frontiers in Neurorobotics 17, 1269848, 2023 | 1 | 2023 |
| Co-development of an infant prototype in hardware and simulation based on ct imaging data B Feldotto, B Walch, P Koch, S Dendorfer, A Knoll 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS), 241-246, 2019 | 1 | 2019 |
| Hebbian learning based sensorimotor association in a closed-loop neurorobotic experiment B Feldotto, F Walter, F Röhrbein Bernstein Conference 2017, W42, 2017 | 1 | 2017 |
| Automated workflow generation supporting the value stream design of reconfigurable robot assembly cells M Ungen, D Kampert, B Feldotto, E Huber, O Riedel Procedia CIRP 128, 609-614, 2024 | | 2024 |
| Integrating Spiking Neural Networks and Deep Learning Algorithms on the Neurorobotics Platform R Stentiford, TC Knowles, B Feldotto, D Ergene, FO Morin, MJ Pearson Conference on Biomimetic and Biohybrid Systems, 68-79, 2022 | | 2022 |
| Correction to: Integrating Spiking Neural Networks and Deep Learning Algorithms on the Neurorobotics Platform R Stentiford, TC Knowles, B Feldotto, D Ergene, FO Morin, MJ Pearson Conference on Biomimetic and Biohybrid Systems, C1-C1, 2022 | | 2022 |
| Network Layer Analysis for a RL-Based Robotic Reaching Task B Feldotto, H Lengenfelder, F Röhrbein, AC Knoll Frontiers in Robotics and AI 9, 799644, 2022 | | 2022 |
| Co-Development of an Infant Prototype in Hardware and Simulation based on CT Imaging Data S Dendorfer, B Feldotto, B Walch, P Koch, A Knoll IEEE International Conference on Cyborg and Bionic Systems (CBS), 2019, Munich, 2019 | | 2019 |
| A Control Hierarchy Inpspired by the Spinal Cord to Exploit Self-Organizing Motion Primitives for Purposeful Trajectory Generation B Feldotto, M Orpana, A Knoll Proceedings of The 28th Annual Conference of the Japanese Neural Network Society, 2018 | | 2018 |
| Neuron Activation Analysis for Multi-Joint Robot Reinforcement Learning B Feldotto, H Lengenfelder, A Knoll | | |
