Bodo Rueckauer
Bodo Rueckauer
Postdoctoral Researcher, Donders Centre for Cognition
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
Conversion of analog to spiking neural networks using sparse temporal coding, 2018 IEEE Int. Symp. Circuits and Systems (ISCAS)
B Rueckauer, SC Liu
IEEE, 2018
Neural network apparatus and method
B Ruckauer, SC Liu
US Patent App. 16/168,024, 2019
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
Reducing latency in a converted spiking video segmentation network
Q Cheni, B Rueckauer, L Li, T Delbruck, SC Liu
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
Optimization of neuroprosthetic vision via end-to-end deep reinforcement learning
B Küçükoğlu, B Rueckauer, N Ahmad, J de Ruyter van Steveninck, ...
bioRxiv, 2022.02. 25.482017, 2022
Method and apparatus with neural network layer contraction
SC Liu, B Rueckauer, T Delbruck
US Patent App. 16/739,543, 2020
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
Biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses
ML van der Grinten, J de Ruyter van Steveninck, A Lozano, L Pijnacker, ...
bioRxiv, 2022.12. 23.521749, 2022
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, 771480, 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
Temporal Pattern Coding in Deep Spiking Neural Networks
B Rueckauer, SC Liu
International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Event-Based Vision Processing in Deep Neural Networks
B Rückauer
University of Zurich, 2020
Fast temporal decoding from large-scale neural recordings in monkey visual cortex
J Hadorn, Z Wang, B Rueckauer, X Chen, PR Roelfsema, SC Liu
University of Zurich, 2022
The system can't perform the operation now. Try again later.
Articles 1–20