Laura Kriener

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Mihai A. PetroviciGroup Leader, NeuroTMA Lab, University of BernEmail yang diverifikasi di unibe.ch
Johannes SchemmelHeidelberg UniversityEmail yang diverifikasi di kip.uni-heidelberg.de
Karlheinz MeierRuprecht-Karls-Universität HeidelbergEmail yang diverifikasi di kip.uni-heidelberg.de
Julian GöltzPhD Student, Heidelberg University and University of BernEmail yang diverifikasi di kip.uni-heidelberg.de
Walter SennUniversität BernEmail yang diverifikasi di unibe.ch
Sebastian BillaudelleInstitute of Neuroinformatics, University of Zürich and ETH ZürichEmail yang diverifikasi di ini.uzh.ch
Dominik DoldResearch Fellow, ESA ESTECEmail yang diverifikasi di esa.int
Paul HaiderNeuroTMA Lab, University of Bern, SwitzerlandEmail yang diverifikasi di unibe.ch
Jakob JordanDepartment of Physiology, University of BernEmail yang diverifikasi di unibe.ch
Benjamin EllenbergerInstitute of Neuroinformatics, University/ETH ZurichEmail yang diverifikasi di ini.phys.ethz.ch
Yannik StradmannKirchhoff-Institute for Physics, Heidelberg UniversityEmail yang diverifikasi di kip.uni-heidelberg.de
Kevin MaxOkinawa Institute of Science and Technology, JapanEmail yang diverifikasi di unibe.ch
Melika PayvandAssistant Professor at Institute of Neuroinformatics, UZH and ETH ZurichEmail yang diverifikasi di ini.uzh.ch
Federico BenitezUniversity of BernEmail yang diverifikasi di unibe.ch
Thomas NowotnyProfessor of Informatics, University of SussexEmail yang diverifikasi di sussex.ac.uk

Ikuti

Laura Kriener

Postdoctoral Researcher, Institute of Neuroinformatics, University of Zurich & ETH Zurich

Email yang diverifikasi di unibe.ch

Artificial Intelligence Brain-Inspired Computing Computational Neuroscience Deep Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	193*	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	104	2017
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	65	2018
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	47*	2023
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	36	2021
The yin-yang dataset L Kriener, J Göltz, MA Petrovici Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022	33	2022
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	21	2024
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	10	2017
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	5	2024
The Role of Temporal Hierarchy in Spiking Neural Networks F Moro, PV Aceituno, L Kriener, M Payvand arXiv preprint arXiv:2407.18838, 2024	3	2024
DelGrad: Exact event-based gradients in spiking networks for training delays and weights J Göltz, J Weber, L Kriener, S Billaudelle, P Lake, J Schemmel, ... arXiv, 2024	3*	2024
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	2	2023
Fast and energy-efficient deep neuromorphic learning J Göltz, L Kriener, V Sabado, MA Petrovici ERCIM NEWS 125, 17-18, 2021	2	2021
Characterization of Single-Neuron Dynamics in the Development of Neuromorphic Hardware L Kriener Kirchhoff Institute for Physics, Heidelberg University, 2017	2	2017
Neuronal Dynamics: Silicon vs. Biology L Kriener, P Müller, S Billaudelle, J Schemmel, K Meier 1st Human Brain Project Student Conference, 80, 2017	1	2017
ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks 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
NEST Conference 2022 Contributions D Terhorst, G Tiddia, J Mitchell, A Levina, S Mahmoudian, S Spreizer, ... NEST Conference 2022, 2022		2022

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