Thomas Bohnstingl
Thomas Bohnstingl
PhD Student at IBM Research Zurich and Graz University of Technology
Verified email at student.tugraz.at
Title
Cited by
Cited by
Year
Neuromorphic hardware learns to learn
T Bohnstingl, F Scherr, C Pehle, K Meier, W Maass
Frontiers in neuroscience 13, 483, 2019
162019
Deep learning incorporating biologically inspired neural dynamics and in-memory computing
S Woźniak, A Pantazi, T Bohnstingl, E Eleftheriou
Nature Machine Intelligence 2 (6), 325-336, 2020
142020
Deep learning incorporating biologically-inspired neural dynamics
S Woźniak, A Pantazi, T Bohnstingl, E Eleftheriou
arXiv preprint arXiv:1812.07040, 2018
32018
Online spatio-temporal learning in deep neural networks
T Bohnstingl, S Woźniak, W Maass, A Pantazi, E Eleftheriou
arXiv preprint arXiv:2007.12723, 2020
12020
Accelerating Spiking Neural Networks using Memristive Crossbar Arrays
T Bohnstingl, A Pantazi, E Eleftheriou
2020 27th IEEE International Conference on Electronics, Circuits and Systems …, 2020
2020
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Articles 1–5