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1901.09049
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Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets
25 January 2019
G. Bellec
Franz Scherr
Elias Hajek
Darjan Salaj
Robert Legenstein
Wolfgang Maass
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Papers citing
"Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets"
34 / 34 papers shown
Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective
Szymon Mazurek
Jakub Caputa
Jan K. Argasiñski
Maciej Wielgosz
249
5
0
06 Apr 2025
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
Kenneth Stewart
Michael Neumeier
Sumit Bam Shrestha
Garrick Orchard
Emre Neftci
215
1
0
28 Aug 2024
A 1.6-fJ/Spike Subthreshold Analog Spiking Neuron in 28 nm CMOS
M. Besrour
Jacob Lavoie
Takwa Omrani
Gabriel Martin-Hardy
Esmaeil Ranjbar Koleibi
Jérémy Ménard
K. Koua
Philippe Marcoux
Mounir Boukadoum
Réjean Fontaine
239
1
0
14 Aug 2024
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing
Thomas Ortner
Horst Petschenig
Athan Vasilopoulos
Roland Renner
Spela Brglez
Thomas Limbacher
Enrique Pinero
Alejandro Linares Barranco
A. Pantazi
Robert Legenstein
297
0
0
22 Apr 2024
Learning Object Permanence from Videos via Latent Imaginations
International Conference on Artificial Neural Networks (ICANN), 2023
Manuel Traub
Frederic Becker
S. Otte
Martin Volker Butz
281
2
0
16 Oct 2023
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning
IEEE Access (IEEE Access), 2023
Heng Zhang
Danilo Vasconcellos Vargas
AI4CE
318
48
0
27 Jul 2023
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks
International Conference on Systems (ICONS), 2023
Samuel Schmidgall
Joe Hays
294
7
0
02 Jun 2023
Exploring the Promise and Limits of Real-Time Recurrent Learning
International Conference on Learning Representations (ICLR), 2023
Kazuki Irie
Anand Gopalakrishnan
Jürgen Schmidhuber
343
24
0
30 May 2023
Efficient LSTM Training with Eligibility Traces
International Conference on Artificial Neural Networks (ICANN), 2022
Mitchell L. Hoyer
Shahram Eivazi
S. Otte
99
2
0
30 Sep 2022
A Taxonomy of Recurrent Learning Rules
International Conference on Artificial Neural Networks (ICANN), 2022
Guillermo Martín-Sánchez
Sander M. Bohté
S. Otte
195
4
0
23 Jul 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
bioRxiv (bioRxiv), 2022
Samuel Schmidgall
Joe Hays
364
3
0
25 Jun 2022
Emergent organization of receptive fields in networks of excitatory and inhibitory neurons
Leon Lufkin
Ashish Puri
Ganlin Song
Xinyi Zhong
John D. Lafferty
279
1
0
26 May 2022
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
International Conference on Learning Representations (ICLR), 2022
Manuel Traub
S. Otte
Tobias Menge
Matthias Karlbauer
Jannik Thummel
Martin Volker Butz
502
23
0
26 May 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Kenneth Stewart
Emre Neftci
267
33
0
26 Jan 2022
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks
Werner van der Veen
232
1
0
05 Jan 2022
Cortico-cerebellar networks as decoupling neural interfaces
Neural Information Processing Systems (NeurIPS), 2021
J. Pemberton
E. Boven
Richard Apps
Rui Ponte Costa
212
7
0
21 Oct 2021
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
Neural Information Processing Systems (NeurIPS), 2021
Ganlin Song
Ruitu Xu
John D. Lafferty
ODL
291
23
0
10 Jun 2021
Time Series Analysis and Modeling to Forecast: a Survey
F. Dama
Christine Sinoquet
AI4TS
223
9
0
31 Mar 2021
A Spiking Central Pattern Generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards
Emmanouil Angelidis
Emanuel Buchholz
Jonathan Arreguit
A. Rougé
T. Stewart
Axel Von Arnim
Alois C. Knoll
A. Ijspeert
283
33
0
18 Jan 2021
Hybrid Backpropagation Parallel Reservoir Networks
Matthew Evanusa
Snehesh Shrestha
M. Girvan
Cornelia Fermuller
Yiannis Aloimonos
AI4TS
215
0
0
27 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Tielin Zhang
Shuncheng Jia
Xiang Cheng
Bo Xu
350
58
0
09 Oct 2020
Event-Driven Visual-Tactile Sensing and Learning for Robots
Tasbolat Taunyazov
Weicong Sng
H. See
Brian Z. H. Lim
Jethro Kuan
Abdul Fatir Ansari
Benjamin C. K. Tee
Harold Soh
299
119
0
15 Sep 2020
Universality of Gradient Descent Neural Network Training
Neural Networks (NN), 2020
G. Welper
194
13
0
27 Jul 2020
A bio-inspired bistable recurrent cell allows for long-lasting memory
Nicolas Vecoven
D. Ernst
G. Drion
RALM
263
26
0
09 Jun 2020
Learning Precise Spike Timings with Eligibility Traces
Manuel Traub
Martin Volker Butz
R. Baayen
S. Otte
188
4
0
08 May 2020
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
Journal of Signal Processing Systems (JSPS), 2020
Andreas Grübl
Sebastian Billaudelle
Benjamin Cramer
V. Karasenko
Johannes Schemmel
283
39
0
25 Mar 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Neural Information Processing Systems (NeurIPS), 2020
Wenrui Zhang
Peng Li
468
252
0
24 Feb 2020
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Yusuke Sakemi
K. Morino
Takashi Morie
Kazuyuki Aihara
217
37
0
08 Jan 2020
Modeling somatic computation with non-neural bioelectric networks
Scientific Reports (Sci Rep), 2019
Santosh Manicka
M. Levin
103
42
0
09 Dec 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Artificial Intelligence Review (AIR), 2019
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
638
799
0
16 Oct 2019
Reservoirs learn to learn
Anand Subramoney
Franz Scherr
Wolfgang Maass
160
21
0
16 Sep 2019
Reinforcement Learning with Low-Complexity Liquid State Machines
Frontiers in Neuroscience (Front. Neurosci.), 2019
Wachirawit Ponghiran
G. Srinivasan
Kaushik Roy
130
17
0
04 Jun 2019
Embodied Neuromorphic Vision with Event-Driven Random Backpropagation
Jacques Kaiser
Alexander Friedrich
J. C. V. Tieck
Daniel Reichard
A. Rönnau
Emre Neftci
Rüdiger Dillmann
174
6
0
09 Apr 2019
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
883
1,644
0
28 Jan 2019
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