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Laura Kriener
Laura Kriener
Postdoctoral Researcher, University of Bern
Bestätigte E-Mail-Adresse bei unibe.ch
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Zitiert von
Zitiert von
Jahr
Fast and energy-efficient neuromorphic deep learning with first-spike times
J Göltz, L Kriener, A Baumbach, S Billaudelle, O Breitwieser, B Cramer, ...
Nature Machine Intelligence 3 (9), 823-835, 2021
142*2021
An accelerated analog neuromorphic hardware system emulating NMDA-and calcium-based non-linear dendrites
J Schemmel, L Kriener, P Müller, K Meier
2017 International Joint Conference on Neural Networks (IJCNN), 2217-2226, 2017
932017
A mixed-signal structured adex neuron for accelerated neuromorphic cores
SA Aamir, P Müller, G Kiene, L Kriener, Y Stradmann, A Grübl, ...
IEEE transactions on biomedical circuits and systems 12 (5), 1027-1037, 2018
582018
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
P Haider, B Ellenberger, L Kriener, J Jordan, W Senn, MA Petrovici
Advances in Neural Information Processing Systems 34, 17839-17851, 2021
242021
The yin-yang dataset
L Kriener, J Göltz, MA Petrovici
Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022
182022
Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking
J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ...
arXiv 2023, 2304.04640 v2, 2023
132023
From LIF to AdEx neuron models: Accelerated analog 65 nm CMOS implementation
SA Aamir, P Müller, L Kriener, G Kiene, J Schemmel, K Meier
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2017
112017
Learning efficient backprojections across cortical hierarchies in real time
K Max, L Kriener, G Pineda García, T Nowotny, I Jaras, W Senn, ...
Nature Machine Intelligence, 1-12, 2024
62024
Fast and Energy-efficient deep Neuromorphic Learning
J Göltz, L Kriener, V Sabado, MA Petrovici
Brain-inspired Computing, 17, 2021
22021
Characterization of Single-Neuron Dynamics in the Development of Neuromorphic Hardware
L Kriener
Kirchhoff Institute for Physics, Heidelberg University, 2017
22017
Backpropagation through space, time, and the brain
B Ellenberger, P Haider, J Jordan, K Max, I Jaras, L Kriener, F Benitez, ...
arXiv preprint arXiv:2403.16933, 2024
12024
Gradient-based methods for spiking physical systems
J Göltz, S Billaudelle, L Kriener, L Blessing, C Pehle, E Müller, ...
arXiv preprint arXiv:2309.10823, 2023
12023
Neuronal Dynamics: Silicon vs. Biology
L Kriener, P Müller, S Billaudelle, J Schemmel, K Meier
1st Human Brain Project Student Conference, 80, 2017
12017
DelGrad: Exact gradients in spiking networks for learning transmission delays and weights
J Göltz, J Weber, L Kriener, P Lake, M Payvand, MA Petrovici
arXiv preprint arXiv:2404.19165, 2024
2024
Order from chaos: Interplay of development and learning in recurrent networks of structured neurons
L Kriener, K Völk, B von Hünerbein, F Benitez, W Senn, MA Petrovici
arXiv preprint arXiv:2402.16763, 2024
2024
Deep Learning in Neuronal and Neuromorphic Systems
L Kriener
Department of Physiology, University of Bern, 2023
2023
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