| Reinforcement co-learning of deep and spiking neural networks for energy-efficient mapless navigation with neuromorphic hardware G Tang, N Kumar, KP Michmizos 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 188* | 2020 |
| Deep reinforcement learning with population-coded spiking neural network for continuous control G Tang, N Kumar, R Yoo, K Michmizos Conference on Robot Learning, 2016-2029, 2021 | 52 | 2021 |
| A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity N Kumar, KP Michmizos Scientific reports 12 (1), 1101, 2022 | 21 | 2022 |
| BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks G Tang, N Kumar, I Polykretis, KP Michmizos arXiv preprint arXiv:2110.14092, 2021 | 8 | 2021 |
| Decoding eeg with spiking neural networks on neuromorphic hardware N Kumar, G Tang, R Yoo, KP Michmizos Transactions on Machine Learning Research, 2022 | 6 | 2022 |
| Machine learning for motor learning: EEG-based continuous assessment of cognitive engagement for adaptive rehabilitation robots N Kumar, KP Michmizos 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and …, 2020 | 5 | 2020 |
| Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots N Kumar, KP Michmizos 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and …, 2020 | 4 | 2020 |
| Camera-based detection of the early stages of fatigue: Validation with meg and self-assessment data N Kumar, C Trivedi, L Wang, DN Metaxas, KP Michmizos Cognitive Computational Neuroscience, 2017 | 3 | 2017 |
| iRoCo: Intuitive Robot Control From Anywhere Using a Smartwatch FC Weigend, X Liu, S Sonawani, N Kumar, V Vasudevan, HB Amor arXiv preprint arXiv:2403.07199, 2024 | | 2024 |
| Visual In-Context Learning for Few-Shot Eczema Segmentation N Kumar, O Aran, V Vasudevan arXiv preprint arXiv:2309.16656, 2023 | | 2023 |
| Brain-Informed Deep Learning of Human Movements with Neurophysiological Interpretations N Kumar Rutgers The State University of New Jersey, School of Graduate Studies, 2022 | | 2022 |
| Modeling of Network Impairment in Schizophrenia via Artificial Networks That Fail in Contour Integration S Silverstein, N Kumar, O Ravid, K Michmizos Biological Psychiatry 87 (9), S41, 2020 | | 2020 |
| Vision Based Cognitive Fatigue Detection N Kumar Rutgers The State University of New Jersey, School of Graduate Studies, 2017 | | 2017 |
