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2020 – today
- 2023
[c7]Hasan Mohamed, Bogdan C. Raducanu, Ilya Kiselev, Zuowen Wang, Burcu Küçükoglu, Bodo Rueckauer, Marcel van Gerven, Carolina Mora Lopez, Shih-Chii Liu:
A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis. BioCAS 2023: 1-5- 2022
- [j4]Burcu Küçükoglu, Bodo Rueckauer, Nasir Ahmad, Jaap de Ruyter van Steveninck, Umut Güçlü, Marcel van Gerven:
Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning. Int. J. Neural Syst. 32(11): 2250052:1-2250052:16 (2022) - [j3]Bodo Rueckauer
, Connor Bybee, Ralf Goettsche, Yashwardhan Singh, Joyesh Mishra, Andreas Wild:
NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi. ACM J. Emerg. Technol. Comput. Syst. 18(3): 48:1-48:22 (2022) - [j2]Bodo Rueckauer, Shih-Chii Liu:
Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing. IEEE Trans. Circuits Syst. Video Technol. 32(2): 621-633 (2022) - [c6]Bodo Rueckauer, Marcel van Gerven:
Experiencing Prosthetic Vision with Event-Based Sensors. ICONS 2022: 20:1-20:7 - [i5]Burcu Küçükoglu, Walraaf Borkent, Bodo Rueckauer, Nasir Ahmad, Umut Güçlü, Marcel van Gerven:
Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization. CoRR abs/2211.06236 (2022) - 2021
- [c5]Hao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu:
LiteEdge: Lightweight Semantic Edge Detection Network. ICCVW 2021: 2657-2666 - [c4]Bodo Rueckauer, Shih-Chii Liu:
Temporal Pattern Coding in Deep Spiking Neural Networks. IJCNN 2021: 1-8 - [c3]Qinyu Chen, Bodo Rueckauer, Li Li, Tobi Delbruck, Shih-Chii Liu:
Reducing Latency in a Converted Spiking Video Segmentation Network. ISCAS 2021: 1-5 - [i4]Bodo Rueckauer, Connor Bybee, Ralf Goettsche, Yashwardhan Singh, Joyesh Mishra, Andreas Wild:
NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi. CoRR abs/2101.04261 (2021) - [i3]Nasir Ahmad, Bodo Rueckauer, Marcel van Gerven:
Brain-inspired Learning Drives Advances in Neuromorphic Computing. ERCIM News 2021(125) (2021)
2010 – 2019
- 2019
- [j1]Shih-Chii Liu, Bodo Rueckauer, Enea Ceolini, Adrian E. G. Huber, Tobias Delbrück:
Event-Driven Sensing for Efficient Perception: Vision and audition algorithms. IEEE Signal Process. Mag. 36(6): 29-37 (2019) - [c2]Bodo Rueckauer, Shih-Chii Liu:
Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data. EUSIPCO 2019: 1-5 - [i2]Bodo Rückauer, Nicolas Känzig, Shih-Chii Liu, Tobi Delbrück, Yulia Sandamirskaya:
Closing the Accuracy Gap in an Event-Based Visual Recognition Task. CoRR abs/1906.08859 (2019) - 2018
- [c1]Bodo Rueckauer, Shih-Chii Liu:
Conversion of analog to spiking neural networks using sparse temporal coding. ISCAS 2018: 1-5 - 2016
- [i1]Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, Michael Pfeiffer:
Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks. CoRR abs/1612.04052 (2016)
Coauthor Index
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