Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks. - Bodo Rueckauer; Iulia-Alexandra Lungu; Yuhuang Hu; Michael Pfeiffer 001 (CoRR, 2016)

Conversion of analog to spiking neural networks using sparse temporal coding. - Bodo Rueckauer; Shih-Chii Liu (ISCAS, 2018)

Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data. - Bodo Rueckauer; Shih-Chii Liu (EUSIPCO, 2019)

Closing the Accuracy Gap in an Event-Based Visual Recognition Task. - Bodo Rückauer; Nicolas Känzig; Shih-Chii Liu; Tobi Delbruck; Yulia Sandamirskaya (CoRR, 2019)

Event-Driven Sensing for Efficient Perception: Vision and audition algorithms. - Shih-Chii Liu; Bodo Rueckauer; Enea Ceolini; Adrian E. G. Huber; Tobias Delbrück (IEEE Signal Process. Mag., 2019)

LiteEdge: Lightweight Semantic Edge Detection Network. - Hao Wang; Hasan Mohamed; Zuowen Wang; Bodo Rueckauer; Shih-Chii Liu (ICCVW, 2021)

Temporal Pattern Coding in Deep Spiking Neural Networks. - Bodo Rueckauer; Shih-Chii Liu (IJCNN, 2021)

Reducing Latency in a Converted Spiking Video Segmentation Network. - Qinyu Chen; Bodo Rueckauer; Li Li; Tobi Delbruck; Shih-Chii Liu (ISCAS, 2021)

Brain-inspired Learning Drives Advances in Neuromorphic Computing. - Nasir Ahmad; Bodo Rueckauer; Marcel van Gerven (ERCIM News, 2021)

Experiencing Prosthetic Vision with Event-Based Sensors. - Bodo Rueckauer; Marcel van Gerven (ICONS, 2022)

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization. - Burcu Küçükoglu; Walraaf Borkent; Bodo Rueckauer; Nasir Ahmad; Umut Güçlü; Marcel van Gerven (CoRR, 2022)

Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning. - Burcu Küçükoglu; Bodo Rueckauer; Nasir Ahmad; Jaap de Ruyter van Steveninck; Umut Güçlü; Marcel van Gerven (Int. J. Neural Syst., 2022)

NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi. - Bodo Rueckauer; Connor Bybee; Ralf Goettsche; Yashwardhan Singh; Joyesh Mishra; Andreas Wild (ACM J. Emerg. Technol. Comput. Syst., 2022)

Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing. - Bodo Rueckauer; Shih-Chii Liu (IEEE Trans. Circuits Syst. Video Technol., 2022)

A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis. - Hasan Mohamed; Bogdan C. Raducanu; Ilya Kiselev; Zuowen Wang; Burcu Küçükoglu; Bodo Rueckauer; Marcel van Gerven; Carolina Mora Lopez; Shih-Chii Liu (BioCAS, 2023)