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2309.08045
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Traveling Waves Encode the Recent Past and Enhance Sequence Learning
International Conference on Learning Representations (ICLR), 2023
3 September 2023
Thomas Anderson Keller
L. Muller
T. Sejnowski
Max Welling
AI4TS
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Papers citing
"Traveling Waves Encode the Recent Past and Enhance Sequence Learning"
9 / 9 papers shown
ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
Federico Danieli
P. Rodríguez
Miguel Sarabia
Xavier Suau
Luca Zappella
LRM
468
8
0
24 Oct 2025
Kuramoto Orientation Diffusion Models
Yue Song
Thomas Anderson Keller
Sevan Brodjian
Takeru Miyato
Yisong Yue
Pietro Perona
Max Welling
DiffM
224
1
0
18 Sep 2025
Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators
Alexander Yeung
Peter DelMastro
Arjun Karuvally
H. Siegelmann
E. Rietman
Hananel Hazan
213
1
0
28 Jul 2025
Flow Equivariant Recurrent Neural Networks
T. Anderson Keller
137
4
0
20 Jul 2025
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
Fernando Moreno-Pino
Alvaro Arroyo
H. Waldon
Xiaowen Dong
Álvaro Cartea
AI4TS
713
1
0
31 May 2024
Input-driven circuit reconfiguration in critical recurrent neural networks.Marcelo O. Magnasco
M. Magnasco
210
1
0
23 May 2024
On the dynamics of convolutional recurrent neural networks near their critical point
Aditi Chandra
M. Magnasco
254
1
0
22 May 2024
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
Arjun Karuvally
T. Sejnowski
H. Siegelmann
309
7
0
15 Feb 2024
Transformers and Cortical Waves: Encoders for Pulling In Context Across Time
Trends in Neurosciences (Trends Neurosci), 2024
L. Muller
P. Churchland
T. Sejnowski
308
18
0
25 Jan 2024
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