Bodo Rueckauer

Orcid: 0000-0003-1628-707X

According to our database1, Bodo Rueckauer authored at least 15 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing.
IEEE Trans. Circuits Syst. Video Technol., 2022

NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi.
ACM J. Emerg. Technol. Comput. Syst., 2022

Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning.
Int. J. Neural Syst., 2022

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization.
CoRR, 2022

Experiencing Prosthetic Vision with Event-Based Sensors.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021
Brain-inspired Learning Drives Advances in Neuromorphic Computing.
ERCIM News, 2021

Reducing Latency in a Converted Spiking Video Segmentation Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Temporal Pattern Coding in Deep Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

LiteEdge: Lightweight Semantic Edge Detection Network.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019
Event-Driven Sensing for Efficient Perception: Vision and audition algorithms.
IEEE Signal Process. Mag., 2019

Closing the Accuracy Gap in an Event-Based Visual Recognition Task.
CoRR, 2019

Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Conversion of analog to spiking neural networks using sparse temporal coding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2016
Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks.
CoRR, 2016


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