High throughput architecture for inpainting-based recovery of correlated neural signals. - Sebastian Schmale; Jochen Rust; Nils Hülsmeier; Heiner Lange; Benjamin Knoop; Steffen Paul (EUSIPCO, 2016)

SORN-based Cascade Support Vector Machine. - Nils Hülsmeier; Moritz Bärthel; Jochen Rust; Steffen Paul (EUSIPCO, 2020)

On the Implementation of Edge Detection Algorithms with SORN Arithmetic. - Moritz Bärthel; Nils Hülsmeier; Jochen Rust; Steffen Paul (CoNGA, 2022)

Hybrid SORN Implementation of k-Nearest Neighbor Algorithm on FPGA. - Nils Hülsmeier; Moritz Bärthel; Ludwig Karsthof; Jochen Rust; Steffen Paul (NEWCAS, 2022)

Towards Dynamic Fault Tolerance for Hardware-Implemented Artificial Neural Networks: A Deep Learning Approach. - Daniel Gregorek; Nils Hülsmeier; Steffen Paul (CoRR, 2022)

Fused Three-Input SORN Arithmetic. - Moritz Bärthel; Yuexing Chen; Nils Hülsmeier; Jochen Rust; Steffen Paul (CoNGA, 2023)

Hybrid SORN Hardware Accelerator for Support Vector Machines. - Nils Hülsmeier; Moritz Bärthel; Jochen Rust; Steffen Paul (CoNGA, 2023)

Hybrid SORN Support Vector Machine Classifier: A Hardware Implementation of the RBF Kernel. - Nils Hülsmeier; Moritz Bärthel; Jochen Rust; Steffen Paul (IEEECONF, 2024)

Adaptive Interval Segmentation: An Algorithmic Approach for Optimal SORN Datatypes. - Nils Hülsmeier; Moritz Bärthel; Jochen Rust; Steffen Paul (CoNGA, 2024)

Quantitative Evaluation on the Limits of SORN Arithmetic Hardware Circuits. - Moritz Bärthel; Nils Hülsmeier; Jochen Rust; Steffen Paul (NorCAS, 2024)

Exploiting SORN-Arithmetic for Efficient Cross Correlation in Low-Complexity FPGAs. - Jochen Rust; Marvin Henkel; Nils Hülsmeier; Moritz Bärthel; Steffen Paul (NorCAS, 2024)

A Formal Evaluation of the Design Space for SORN Arithmetic Datatypes. - Moritz Bärthel; Yixuan Yao; Nils Hülsmeier; Steffen Paul (MOCAST, 2025)

Multiplier-Free Neural Networks: An Exploration of SORN-Based Neural Networks on Hardware. - Nils Hülsmeier; Jannik Steenken; Moritz Bärthel; Jochen Rust; Steffen Paul (MOCAST, 2025)