| Spiking neural network on neuromorphic hardware for energy-efficient unidimensional SLAM G Tang, A Shah, KP Michmizos IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), 2019 | 95 | 2019 |
| Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control G Tang, N Kumar, R Yoo, KP Michmizos Conference on Robot Learning (CoRL 2020), 2020 | 53 | 2020 |
| Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system G Tang, KP Michmizos International Conference on Neuromorphic Systems (ICONS 2018), 2018 | 41 | 2018 |
| An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel’s Loihi I Polykretis, G Tang, KP Michmizos International Conference on Neuromorphic Systems (ICONS 2020), 2020 | 26 | 2020 |
| Introducing astrocytes on a neuromorphic processor: Synchronization, local plasticity and edge of chaos G Tang, IE Polykretis, VA Ivanov, A Shah, KP Michmizos Neuro-inspired Computational Elements Workshop (NICE 2019), 2019 | 15 | 2019 |
| Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... arXiv preprint arXiv:2304.04640, 2023 | 12 | 2023 |
| 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 (TMLR), 2022 | 7 | 2022 |
| Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking A Patiño-Saucedo, A Yousefzadeh, G Tang, F Corradi, ... IEEE International Symposium on Circuits and Systems (ISCAS 2023), 2023 | 6 | 2023 |
| A Spiking Neural Network Mimics the Oculomotor System to Control a Biomimetic Robotic Head without Learning on a Neuromorphic Hardware I Polykretis, G Tang, P Balachandar, KP Michmizos IEEE Transactions on Medical Robotics and Bionics, 2022 | 6 | 2022 |
| SENECA: Building a fully digital neuromorphic processor, design trade-offs and challenges G Tang, K Vadivel, Y Xu, R Bilgic, K Shidqi, P Detterer, S Traferro, ... Frontiers in Neuroscience, 2023 | 5 | 2023 |
| Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design G Tang, A Safa, K Shidqi, P Detterer, S Traferro, M Konijnenburg, ... IEEE International Symposium on Circuits and Systems (ISCAS 2023), 2023 | 5 | 2023 |
| Real-time Mapping on a Neuromorphic Processor G Tang, KP Michmizos Neuro-inspired Computational Elements Workshop (NICE 2020), 2020 | 5 | 2020 |
| Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration Y Xu, K Shidqi, GJ van Schaik, R Bilgic, A Dobrita, S Wang, R Meijer, ... Frontiers in Neuroscience 18, 1335422, 2024 | | 2024 |
| Benchmarking of Hardware-efficient Real-time Neural Decoding in Brain-computer Interfaces P Hueber, G Tang, M Sifalakis, HP Liaw, A Micheli, N Tomen, YH Liu Preprint, 2023 | | 2023 |
| Biologically Inspired Spiking Neural Networks for Energy-Efficient Robot Learning and Control G Tang Rutgers The State University of New Jersey, School of Graduate Studies, 2022 | | 2022 |
| Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware G Tang, N Kumar, KP Michmizos IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2020 | | 2020 |
| Gridbot: Towards a Neuroinspired Navigation System For Robot Planning G Tang Rutgers The State University of New Jersey, School of Graduate Studies, 2017 | | 2017 |
Konstantinos P. MichmizosProfessor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
