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2020 – today
- 2024
[j3]Kevin Max
, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Ismael Jaras, Walter Senn, Mihai A. Petrovici:
Learning efficient backprojections across cortical hierarchies in real time. Nat. Mac. Intell. 6(6): 619-630 (2024)- [i13]Laura Kriener, Kristin Völk, Ben von Hünerbein, Federico Benitez, Walter Senn, Mihai A. Petrovici:
Order from chaos: Interplay of development and learning in recurrent networks of structured neurons. CoRR abs/2402.16763 (2024) - [i12]Benjamin Ellenberger, Paul Haider, Jakob Jordan, Kevin Max, Ismael Jaras, Laura Kriener, Federico Benitez, Mihai A. Petrovici:
Backpropagation through space, time, and the brain. CoRR abs/2403.16933 (2024) - [i11]Julian Göltz, Jimmy Weber, Laura Kriener, Peter Lake, Melika Payvand, Mihai A. Petrovici:
DelGrad: Exact gradients in spiking networks for learning transmission delays and weights. CoRR abs/2404.19165 (2024) - [i10]Filippo Moro, Pau Vilimelis Aceituno, Laura Kriener, Melika Payvand:
The Role of Temporal Hierarchy in Spiking Neural Networks. CoRR abs/2407.18838 (2024) - 2023
- [c6]Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Walter Senn, Mihai A. Petrovici:
Learning Efficient Backprojections Across Cortical Hierarchies in Real Time. ICANN (1) 2023: 556-559 - [i9]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i8]Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici:
Gradient-based methods for spiking physical systems. CoRR abs/2309.10823 (2023) - 2022
- [c5]Laura Kriener, Julian Göltz, Mihai A. Petrovici:
The Yin-Yang dataset. NICE 2022: 107-111 - [i7]Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Walter Senn, Mihai A. Petrovici:
Learning efficient backprojections across cortical hierarchies in real time. CoRR abs/2212.10249 (2022) - 2021
- [j2]Julian Göltz, Laura Kriener, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Benjamin Cramer, Dominik Dold, Ákos F. Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and energy-efficient neuromorphic deep learning with first-spike times. Nat. Mach. Intell. 3(9): 823-835 (2021) - [c4]Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici:
Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons. NeurIPS 2021: 17839-17851 - [i6]Laura Kriener, Julian Göltz, Mihai A. Petrovici:
The Yin-Yang dataset. CoRR abs/2102.08211 (2021) - [i5]Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici:
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons. CoRR abs/2110.14549 (2021) - [i4]Julian Göltz, Laura Kriener, Virginie Sabado, Mihai A. Petrovici:
Fast and Energy-efficient Deep Neuromorphic Learning. ERCIM News 2021(125) (2021) - 2020
- [c3]Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Ákos F. Kungl, Oliver Breitwieser, Karlheinz Meier, Johannes Schemmel, Laura Kriener, Mihai A. Petrovici:
Fast and deep neuromorphic learning with first-spike coding. NICE 2020: 14:1-14:3
2010 – 2019
- 2019
- [i3]Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Ákos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and deep neuromorphic learning with time-to-first-spike coding. CoRR abs/1912.11443 (2019) - 2018
- [j1]Syed Ahmed Aamir, Paul Müller, Gerd Kiene, Laura Kriener, Yannik Stradmann, Andreas Grübl, Johannes Schemmel, Karlheinz Meier:
A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores. IEEE Trans. Biomed. Circuits Syst. 12(5): 1027-1037 (2018) - [i2]Syed Ahmed Aamir, Paul Müller, Gerd Kiene, Laura Kriener, Yannik Stradmann, Johannes Schemmel, Karlheinz Meier:
A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores. CoRR abs/1804.01840 (2018) - 2017
- [c2]Syed Ahmed Aamir, Paul Müller, Laura Kriener, Gerd Kiene, Johannes Schemmel, Karlheinz Meier:
From LIF to AdEx neuron models: Accelerated analog 65 nm CMOS implementation. BioCAS 2017: 1-4 - [c1]Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier:
An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites. IJCNN 2017: 2217-2226 - [i1]Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier:
An Accelerated Analog Neuromorphic Hardware System Emulating NMDA- and Calcium-Based Non-Linear Dendrites. CoRR abs/1703.07286 (2017)
Coauthor Index
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last updated on 2024-10-21 20:33 CEST by the dblp team
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