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Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware
v1v2v3 (latest)

Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware

2 May 2024
Madison Cotteret
Hugh Greatorex
Alpha Renner
Junren Chen
Emre Neftci
Huaqiang Wu
Giacomo Indiveri
Martin Ziegler
Elisabetta Chicca
ArXiv (abs)PDFHTML

Papers citing "Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware"

29 / 29 papers shown
Title
A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
Sven Krausse
Emre Neftci
Friedrich T. Sommer
Alpha Renner
118
0
0
11 Mar 2025
TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS
  device integration
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
70
3
0
21 Oct 2024
Linear Codes for Hyperdimensional Computing
Linear Codes for Hyperdimensional Computing
Netanel Raviv
65
3
0
05 Mar 2024
Neuromorphic Intermediate Representation: A Unified Instruction Set for
  Interoperable Brain-Inspired Computing
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
Jens Egholm Pedersen
Steven Abreu
Matthias Jobst
Gregor Lenz
Vittorio Fra
...
Gianvito Urgese
Sadasivan Shankar
Terrence C. Stewart
Jason K. Eshraghian
Sadique Sheik
84
33
0
24 Nov 2023
Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic
  Systems
Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems
Junren Chen
Si-Jung Yang
Huaqiang Wu
Giacomo Indiveri
Melika Payvand
28
8
0
16 Jul 2023
Gradient-descent hardware-aware training and deployment for mixed-signal
  Neuromorphic processors
Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
Uğurcan Cakal
Maryada
Chenxi Wu
I. Ulusoy
Dylan R. Muir
61
6
0
14 Mar 2023
Capacity Analysis of Vector Symbolic Architectures
Capacity Analysis of Vector Symbolic Architectures
K. Clarkson
Shashanka Ubaru
E. Yang
96
12
0
24 Jan 2023
Vector Symbolic Finite State Machines in Attractor Neural Networks
Vector Symbolic Finite State Machines in Attractor Neural Networks
Madison Cotteret
Hugh Greatorex
Martin Ziegler
Elisabetta Chicca
98
6
0
02 Dec 2022
Neuromorphic Visual Scene Understanding with Resonator Networks
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
86
19
0
26 Aug 2022
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive
  Matrices
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices
Michael Hersche
Mustafa Zeqiri
Luca Benini
Abu Sebastian
Abbas Rahimi
NAI
97
95
0
09 Mar 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part II: Applications, Cognitive Models, and Challenges
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
109
136
0
12 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part I: Models and Data Transformations
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
Abbas Rahimi
157
127
0
11 Nov 2021
Efficient Neuromorphic Signal Processing with Loihi 2
Efficient Neuromorphic Signal Processing with Loihi 2
Garrick Orchard
E. P. Frady
D. B. Rubin
Sophia Sanborn
S. Shrestha
Friedrich T. Sommer
Mike Davies
74
173
0
05 Nov 2021
Computing on Functions Using Randomized Vector Representations
Computing on Functions Using Randomized Vector Representations
E. P. Frady
Denis Kleyko
Christopher J. Kymn
Bruno A. Olshausen
Friedrich T. Sommer
80
71
0
08 Sep 2021
Online Training of Spiking Recurrent Neural Networks with Phase-Change
  Memory Synapses
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses
Yiğit Demirağ
Charlotte Frenkel
Melika Payvand
Giacomo Indiveri
85
17
0
04 Aug 2021
Vector Symbolic Architectures as a Computing Framework for Emerging
  Hardware
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
Denis Kleyko
Mike Davies
E. P. Frady
P. Kanerva
Spencer J. Kent
...
Evgeny Osipov
J. Rabaey
D. Rachkovskij
Abbas Rahimi
Friedrich T. Sommer
107
61
0
09 Jun 2021
Supervised training of spiking neural networks for robust deployment on
  mixed-signal neuromorphic processors
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
Julian Büchel
D. Zendrikov
S. Solinas
Giacomo Indiveri
Dylan R. Muir
64
20
0
12 Feb 2021
A Theoretical Perspective on Hyperdimensional Computing
A Theoretical Perspective on Hyperdimensional Computing
Anthony Thomas
S. Dasgupta
Tajana Simunic
83
87
0
14 Oct 2020
Variable Binding for Sparse Distributed Representations: Theory and
  Applications
Variable Binding for Sparse Distributed Representations: Theory and Applications
E. P. Frady
Denis Kleyko
Friedrich T. Sommer
97
57
0
14 Sep 2020
Visual Pattern Recognition with on On-chip Learning: towards a Fully
  Neuromorphic Approach
Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach
Sandro Baumgartner
Alpha Renner
Raphaela Kreiser
Dongchen Liang
Giacomo Indiveri
Yulia Sandamirskaya
36
6
0
08 Aug 2020
Surrogate gradients for analog neuromorphic computing
Surrogate gradients for analog neuromorphic computing
Benjamin Cramer
Sebastian Billaudelle
Simeon Kanya
Aron Leibfried
Andreas Grubl
...
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Johannes Schemmel
Friedemann Zenke
79
107
0
12 Jun 2020
In-memory hyperdimensional computing
In-memory hyperdimensional computing
G. Karunaratne
Manuel Le Gallo
G. Cherubini
Luca Benini
Abbas Rahimi
Abu Sebastian
92
255
0
04 Jun 2019
Composing Neural Algorithms with Fugu
Composing Neural Algorithms with Fugu
J. Aimone
William M. Severa
C. Vineyard
61
32
0
28 May 2019
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
137
1,250
0
28 Jan 2019
Robust computation with rhythmic spike patterns
Robust computation with rhythmic spike patterns
E. P. Frady
Friedrich T. Sommer
68
79
0
23 Jan 2019
Stable Recurrent Models
Stable Recurrent Models
John Miller
Moritz Hardt
81
119
0
25 May 2018
Neural Distributed Autoassociative Memories: A Survey
Neural Distributed Autoassociative Memories: A Survey
V. Gritsenko
D. Rachkovskij
A. Frolov
R. Gayler
Denis Kleyko
Evgeny Osipov
64
33
0
04 Sep 2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on
  the BrainScaleS Wafer-Scale System
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
Sebastian Schmitt
Johann Klaehn
G. Bellec
Andreas Grübl
Maurice Guettler
...
Robert Legenstein
Wolfgang Maass
Christian Mayr
Johannes Schemmel
K. Meier
59
138
0
06 Mar 2017
State dependent computation using coupled recurrent networks
State dependent computation using coupled recurrent networks
Ueli Rutishauser
R. Douglas
104
78
0
24 Sep 2008
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