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1901.07718
Cited By
Robust computation with rhythmic spike patterns
23 January 2019
E. P. Frady
Friedrich T. Sommer
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Papers citing
"Robust computation with rhythmic spike patterns"
37 / 37 papers shown
A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
Neuro Inspired Computational Elements Workshop (NICE), 2025
Sven Krausse
Emre Neftci
Friedrich T. Sommer
Alpha Renner
373
0
0
11 Mar 2025
Improved Cleanup and Decoding of Fractional Power Encodings
Neuro Inspired Computational Elements Workshop (NICE), 2024
Alicia Bremer
Jeff Orchard
459
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0
30 Nov 2024
Storing overlapping associative memories on latent manifolds in low-rank spiking networks
William F. Podlaski
C. Machens
327
4
0
26 Nov 2024
TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration
Hugh Greatorex
Ole Richter
Michele Mastella
Madison Cotteret
Philipp Klein
...
Junren Chen
Martin Ziegler
Laura Bégon-Lours
Giacomo Indiveri
Elisabetta Chicca
232
0
0
21 Oct 2024
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
Christopher J. Kymn
Sonia Mazelet
Anthony Thomas
Denis Kleyko
E. P. Frady
Friedrich T. Sommer
Bruno A. Olshausen
312
11
0
27 Jun 2024
Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware
Neuromorphic Computing and Engineering (NCE), 2024
Madison Cotteret
Hugh Greatorex
Alpha Renner
Junren Chen
Emre Neftci
Huaqiang Wu
Giacomo Indiveri
Martin Ziegler
Elisabetta Chicca
522
8
0
02 May 2024
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
Christopher J. Kymn
Sonia Mazelet
Annabel Ng
Denis Kleyko
Bruno A. Olshausen
358
8
0
29 Apr 2024
Modular, Hierarchical Machine Learning for Sequential Goal Completion
Nathan McDonald
204
2
0
29 Apr 2024
Computing with Residue Numbers in High-Dimensional Representation
Christopher J. Kymn
Denis Kleyko
E. P. Frady
Connor Bybee
P. Kanerva
Friedrich T. Sommer
Bruno A. Olshausen
220
12
0
08 Nov 2023
Efficient Video and Audio processing with Loihi 2
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
S. Shrestha
Jonathan Timcheck
Paxon Frady
L. Campos-Macias
Mike Davies
411
65
0
05 Oct 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
International Conference on Learning Representations (ICLR), 2023
Axel Laborieux
Friedemann Zenke
491
11
0
05 Sep 2023
Persistent learning signals and working memory without continuous attractors
Il Memming Park
Ábel Ságodi
Piotr Sokól
334
15
0
24 Aug 2023
Modularizing and Assembling Cognitive Map Learners via Hyperdimensional Computing
N. McDonald
365
8
0
10 Apr 2023
Hyperdimensional Computing with Spiking-Phasor Neurons
International Conference on Systems (ICONS), 2023
Jeff Orchard
Russell J Jarvis
245
12
0
28 Feb 2023
Vector Symbolic Finite State Machines in Attractor Neural Networks
Neural Computation (Neural Comput.), 2022
Madison Cotteret
Hugh Greatorex
Martin Ziegler
Elisabetta Chicca
510
11
0
02 Dec 2022
Visual Odometry with Neuromorphic Resonator Networks
Alpha Renner
Lazar Supic
Andreea Danielescu
Giacomo Indiveri
E. P. Frady
Friedrich T. Sommer
Yulia Sandamirskaya
441
16
0
05 Sep 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
Neural Information Processing Systems (NeurIPS), 2022
Axel Laborieux
Friedemann Zenke
386
53
0
01 Sep 2022
Neuromorphic Visual Scene Understanding with Resonator Networks
Alpha Renner
Lazar Supic
Andreea Danielescu
Giacomo Indiveri
Bruno A. Olshausen
Yulia Sandamirskaya
Friedrich T. Sommer
E. P. Frady
481
34
0
26 Aug 2022
Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks
Connor Bybee
Alexander Belsten
Friedrich T. Sommer
94
0
0
05 Apr 2022
Deep Learning in Spiking Phasor Neural Networks
Connor Bybee
E. P. Frady
Friedrich T. Sommer
144
7
0
01 Apr 2022
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Denis Kleyko
G. Karunaratne
J. Rabaey
Abu Sebastian
Abbas Rahimi
KELM
246
10
0
11 Mar 2022
Integer Factorization with Compositional Distributed Representations
Neuro Inspired Computational Elements Workshop (NICE), 2022
Denis Kleyko
Connor Bybee
Christopher J. Kymn
Bruno A. Olshausen
A. Khosrowshahi
Dmitri E. Nikonov
Friedrich T. Sommer
E. P. Frady
CoGe
185
10
0
02 Mar 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
ACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
524
180
0
12 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
ACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
Abbas Rahimi
518
194
0
11 Nov 2021
Efficient Neuromorphic Signal Processing with Loihi 2
Garrick Orchard
E. P. Frady
D. B. Rubin
Sophia Sanborn
S. Shrestha
Friedrich T. Sommer
Mike Davies
215
263
0
05 Nov 2021
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Evgeny Osipov
Sachin Kahawala
D. Haputhanthri
Thimal Kempitiya
Daswin De Silva
D. Alahakoon
Denis Kleyko
348
35
0
15 Oct 2021
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework
Zhuowen Zou
H. Alimohamadi
Farhad Imani
Yeseong Kim
Mohsen Imani
347
20
0
01 Oct 2021
Variational learning of quantum ground states on spiking neuromorphic hardware
Robert Klassert
A. Baumbach
Mihai A. Petrovici
M. Gärttner
252
9
0
30 Sep 2021
Computing on Functions Using Randomized Vector Representations
Neuro Inspired Computational Elements Workshop (NICE), 2021
E. P. Frady
Denis Kleyko
Christopher J. Kymn
Bruno A. Olshausen
Friedrich T. Sommer
212
82
0
08 Sep 2021
Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations
W. Olin-Ammentorp
M. Bazhenov
GNN
419
4
0
15 Jun 2021
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks
W. Olin-Ammentorp
M. Bazhenov
279
5
0
15 Jun 2021
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
Proceedings of the IEEE (Proc. IEEE), 2021
Denis Kleyko
Mike Davies
E. P. Frady
P. Kanerva
Spencer J. Kent
...
Evgeny Osipov
J. Rabaey
D. Rachkovskij
Abbas Rahimi
Friedrich T. Sommer
313
84
0
09 Jun 2021
Variable Binding for Sparse Distributed Representations: Theory and Applications
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
E. P. Frady
Denis Kleyko
Friedrich T. Sommer
279
63
0
14 Sep 2020
Resonator networks for factoring distributed representations of data structures
E. P. Frady
Spencer J. Kent
Bruno A. Olshausen
Friedrich T. Sommer
GNN
136
8
0
07 Jul 2020
Complex Amplitude-Phase Boltzmann Machines
Zengyi Li
Friedrich T. Sommer
134
0
0
04 May 2020
Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" [Science Robotics Vol. 4 Issue 30 (2019) 1-10
Denis Kleyko
Ross W. Gayler
Evgeny Osipov
248
9
0
25 Mar 2020
Resonator Networks outperform optimization methods at solving high-dimensional vector factorization
Spencer J. Kent
E. P. Frady
Friedrich T. Sommer
Bruno A. Olshausen
198
4
0
19 Jun 2019
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