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Bodo Rueckauer
Bodo Rueckauer
Postdoctoral Researcher, Donders Centre for Cognition
Bestätigte E-Mail-Adresse bei donders.ru.nl
Titel
Zitiert von
Zitiert von
Jahr
Conversion of continuous-valued deep networks to efficient event-driven networks for image classification
B Rueckauer, IA Lungu, Y Hu, M Pfeiffer, SC Liu
Frontiers in neuroscience 11, 682, 2017
4472017
Evaluation of event-based algorithms for optical flow with ground-truth from inertial measurement sensor
B Rueckauer, T Delbruck
Frontiers in neuroscience 10, 176, 2016
1022016
Conversion of analog to spiking neural networks using sparse temporal coding
B Rueckauer, SC Liu
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
1002018
Theory and tools for the conversion of analog to spiking convolutional neural networks
B Rueckauer, IA Lungu, Y Hu, M Pfeiffer
arXiv preprint arXiv:1612.04052, 2016
842016
Event-driven sensing for efficient perception: Vision and audition algorithms
SC Liu, B Rueckauer, E Ceolini, A Huber, T Delbruck
IEEE Signal Processing Magazine 36 (6), 29-37, 2019
382019
NxTF: An API and compiler for deep spiking neural networks on Intel Loihi
B Rueckauer, C Bybee, R Goettsche, Y Singh, J Mishra, A Wild
ACM Journal on Emerging Technologies in Computing Systems (JETC) 18 (3), 1-22, 2022
142022
Closing the accuracy gap in an event-based visual recognition task
B Rückauer, N Känzig, SC Liu, T Delbruck, Y Sandamirskaya
arXiv preprint arXiv:1906.08859, 2019
102019
New features of receptive fields in mouse retina through spike-triggered covariance
J Ahn, B Rueckauer, Y Yoo, YS Goo
Experimental Neurobiology 29 (1), 38, 2020
42020
Reducing latency in a converted spiking video segmentation network
Q Chen, B Rueckauer, L Li, T Delbruck, SC Liu
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
32021
Method and apparatus with neural network layer contraction
SC Liu, B Rueckauer, T Delbruck
US Patent App. 16/739,543, 2020
22020
Linear approximation of deep neural networks for efficient inference on video data
B Rueckauer, SC Liu
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
22019
Neural network apparatus and method
B Ruckauer, SC Liu
US Patent App. 16/168,024, 2019
22019
Temporal Pattern Coding in Deep Spiking Neural Networks
B Rueckauer, SC Liu
International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
12021
Optimization of Neuroprosthetic Vision via End-to-end Deep Reinforcement Learning
B Küçükoğlu, B Rueckauer, N Ahmad, JR van Steveninck, U Güçlü, ...
bioRxiv, 2022
2022
P4O: Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization
B Küçükoğlu, W Borkent, B Rueckauer, N Ahmad, U Güçlü, M van Gerven
2021
Method of converting neural network and recognition apparatus using the same
B Ruckauer, I Lungu, HU Yuhuang, M Pfeiffer
US Patent 10,977,550, 2021
2021
Contraction of dynamically masked deep neural networks for efficient video processing
B Rueckauer, SC Liu
IEEE Transactions on Circuits and Systems for Video Technology, 2021
2021
Real-time edge neuromorphic tasting from chemical microsensor arrays
N LeBow, B Rueckauer, P Sun, M Rovira, C Jiménez-Jorquera, SC Liu, ...
Frontiers in Neuroscience 15, 2021
2021
LiteEdge: Lightweight Semantic Edge Detection Network
H Wang, H Mohamed, Z Wang, B Rueckauer, SC Liu
International Conference on Computer Vision (ICCV), 1-10, 2021
2021
Brain-inspired Learning drives Advances in Neuromorphic Computing
N Ahmad, B Rueckauer, M van Gerven
Brain-inspired Computing, 24, 2021
2021
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