Neuromorphic Hardware learns to learn. - Thomas Bohnstingl; Franz Scherr; Christian Pehle; Karlheinz Meier; Wolfgang Maass 001 (CoRR, 2019)

Accelerating Spiking Neural Networks using Memristive Crossbar Arrays. - Thomas Bohnstingl; Angeliki Pantazi; Evangelos Eleftheriou (ICECS, 2020)

Online spatio-temporal learning in deep neural networks. - Thomas Bohnstingl; Stanislaw Wozniak; Wolfgang Maass 001; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2020)

Deep learning incorporating biologically inspired neural dynamics and in-memory computing. - Stanislaw Wozniak; Angeliki Pantazi; Thomas Bohnstingl; Evangelos Eleftheriou (Nat. Mach. Intell., 2020)

Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. - Robert L. Bruce; Syed Ghazi Sarwat; Irem Boybat; Cheng-Wei Cheng; Wanki Kim; S. R. Nandakumar; Charles Mackin; Timothy Philip; Zuoguang Liu; Kevin Brew; Nanbo Gong; Injo Ok; et al. (IRPS, 2021)

Towards efficient end-to-end speech recognition with biologically-inspired neural networks. - Thomas Bohnstingl; Ayush Garg 006; Stanislaw Wozniak; George Saon; Evangelos Eleftheriou; Angeliki Pantazi (CoRR, 2021)

Biologically Inspired Dynamics Enhance Deep Learning. - Stanislaw Wozniak; Thomas Bohnstingl; Angeliki Pantazi (ERCIM News, 2021)

Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware. - Thomas Bohnstingl; Anja Surina; Maxime Fabre; Yigit Demirag; Charlotte Frenkel; Melika Payvand; Giacomo Indiveri; Angeliki Pantazi (AICAS, 2022)

Speech Recognition Using Biologically-Inspired Neural Networks. - Thomas Bohnstingl; Ayush Garg 006; Stanislaw Wozniak; George Saon; Evangelos Eleftheriou; Angeliki Pantazi (ICASSP, 2022)

Online Spatio-Temporal Learning in Deep Neural Networks. - Thomas Bohnstingl; Stanislaw Wozniak; Angeliki Pantazi; Evangelos Eleftheriou (IEEE Trans. Neural Networks Learn. Syst., 2023)