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1702.06463
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Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network
eLife (eLife), 2017
21 February 2017
Aditya Gilra
W. Gerstner
Re-assign community
ArXiv (abs)
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Papers citing
"Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network"
27 / 27 papers shown
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137
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22 Oct 2025
Spiking Neural Network Architecture Search: A Survey
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179
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16 Oct 2025
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
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07 Jun 2025
A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rules
Reza Ahmadvand
S. S. Sharif
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141
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12 Apr 2024
Backpropagation through space, time, and the brain
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Paul Haider
Jakob Jordan
Kevin Max
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Laura Kriener
Federico Benitez
Mihai A. Petrovici
514
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25 Mar 2024
Learning fast changing slow in spiking neural networks
Cristiano Capone
P. Muratore
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216
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25 Jan 2024
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity
Neural Information Processing Systems (NeurIPS), 2023
Julian Rossbroich
Friedemann Zenke
243
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30 Oct 2023
Brain-inspired learning in artificial neural networks: a review
APL Machine Learning (AML), 2023
Samuel Schmidgall
Jascha Achterberg
Thomas Miconi
Louis Kirsch
Rojin Ziaei
S. P. Hajiseyedrazi
Nhan Duy Truong
222
99
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18 May 2023
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
International Conference on Learning Representations (ICLR), 2023
Biswadeep Chakraborty
Saibal Mukhopadhyay
231
14
0
22 Feb 2023
Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
Lyes Khacef
Philipp Klein
M. Cartiglia
Arianna Rubino
Giacomo Indiveri
Elisabetta Chicca
248
51
0
30 Sep 2022
The least-control principle for local learning at equilibrium
Neural Information Processing Systems (NeurIPS), 2022
Alexander Meulemans
Nicolas Zucchet
Seijin Kobayashi
J. Oswald
João Sacramento
248
32
0
04 Jul 2022
Minimizing Control for Credit Assignment with Strong Feedback
International Conference on Machine Learning (ICML), 2022
Alexander Meulemans
Matilde Tristany Farinha
Maria R. Cervera
João Sacramento
Benjamin Grewe
262
24
0
14 Apr 2022
Credit Assignment in Neural Networks through Deep Feedback Control
Neural Information Processing Systems (NeurIPS), 2021
Alexander Meulemans
Matilde Tristany Farinha
Javier García Ordónez
Pau Vilimelis Aceituno
João Sacramento
Benjamin Grewe
332
45
0
15 Jun 2021
A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture
Kaveh Akbarzadeh-Sherbaf
Mikaeel Bahmani
Danial Ghiaseddin
Saeed Safari
A. Vahabie
55
0
0
29 Apr 2021
General Robot Dynamics Learning and Gen2Real
Dengpeng Xing
Jiale Li
Yiming Yang
Bo Xu
DRL
AI4CE
143
3
0
06 Apr 2021
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
Scientific Reports (Sci Rep), 2021
Julian Büchel
D. Zendrikov
S. Solinas
Giacomo Indiveri
Dylan R. Muir
344
25
0
12 Feb 2021
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
276
96
0
22 Oct 2020
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures
Neural Computation (Neural Comput.), 2020
Richard C. Gerum
A. Schilling
AI4CE
159
20
0
28 Apr 2020
Embodied Synaptic Plasticity with Online Reinforcement learning
Jacques Kaiser
M. Hoff
Andreas Konle
J. C. V. Tieck
David Kappel
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Anand Subramoney
Robert Legenstein
A. Rönnau
Wolfgang Maass
Rüdiger Dillmann
OffRL
103
16
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03 Mar 2020
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction
Neural Computation (Neural Comput.), 2019
Nicholas M. Boffi
Jean-Jacques E. Slotine
314
44
0
31 Dec 2019
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Benjamin Cramer
Yannik Stradmann
Johannes Schemmel
Friedemann Zenke
292
287
0
16 Oct 2019
Learning spatiotemporal signals using a recurrent spiking network that discretizes time
bioRxiv (bioRxiv), 2019
Amadeus Maes
Mauricio Barahona
Claudia Clopath
67
56
0
20 Jul 2019
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching
Cengiz Pehlevan
166
18
0
04 Feb 2019
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
770
1,540
0
28 Jan 2019
Non-linear motor control by local learning in spiking neural networks
International Conference on Machine Learning (ICML), 2017
Aditya Gilra
W. Gerstner
67
12
0
29 Dec 2017
SuperSpike: Supervised learning in multi-layer spiking neural networks
Neural Computation (Neural Comput.), 2017
Friedemann Zenke
Surya Ganguli
340
649
0
31 May 2017
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