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A Survey of Neuromorphic Computing and Neural Networks in Hardware

A Survey of Neuromorphic Computing and Neural Networks in Hardware

19 May 2017
Catherine D. Schuman
T. Potok
Robert M. Patton
J. Birdwell
Mark E. Dean
Garrett S. Rose
J. Plank
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Papers citing "A Survey of Neuromorphic Computing and Neural Networks in Hardware"

50 / 158 papers shown
Title
Holomorphic Equilibrium Propagation Computes Exact Gradients Through
  Finite Size Oscillations
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
Axel Laborieux
Friedemann Zenke
36
33
0
01 Sep 2022
WeightMom: Learning Sparse Networks using Iterative Momentum-based
  pruning
WeightMom: Learning Sparse Networks using Iterative Momentum-based pruning
Elvis Johnson
Xiao-Ming Tang
Sriramacharyulu Samudrala
14
1
0
11 Aug 2022
Gradient Flows for L2 Support Vector Machine Training
Gradient Flows for L2 Support Vector Machine Training
Christian Bauckhage
H. Schneider
Benjamin Wulff
R. Sifa
29
0
0
08 Aug 2022
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi
  Neuromorphic Processor
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor
Alberto Viale
Alberto Marchisio
Maurizio Martina
Guido Masera
Muhammad Shafique
28
12
0
03 Aug 2022
The Free Energy Principle drives neuromorphic development
The Free Energy Principle drives neuromorphic development
C. Fields
Karl J. Friston
J. Glazebrook
Michael Levin
A. Marcianò
35
14
0
20 Jul 2022
Simple and complex spiking neurons: perspectives and analysis in a
  simple STDP scenario
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario
D. L. Manna
Alex Vicente-Sola
Paul Kirkland
Trevor Bihl
G. D. Caterina
30
21
0
28 Jun 2022
Efficient recurrent architectures through activity sparsity and sparse
  back-propagation through time
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
Anand Subramoney
Khaleelulla Khan Nazeer
Mark Schöne
Christian Mayr
David Kappel
35
16
0
13 Jun 2022
Deep Learning in Spiking Phasor Neural Networks
Deep Learning in Spiking Phasor Neural Networks
Connor Bybee
E. P. Frady
Friedrich T. Sommer
21
6
0
01 Apr 2022
SPICEprop: Backpropagating Errors Through Memristive Spiking Neural
  Networks
SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks
Peng Zhou
Jason Eshraghian
Dong-Uk Choi
S. Kang
21
4
0
02 Mar 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware
Limitations of Deep Learning for Inverse Problems on Digital Hardware
Holger Boche
Adalbert Fono
Gitta Kutyniok
32
25
0
28 Feb 2022
Including STDP to eligibility propagation in multi-layer recurrent
  spiking neural networks
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks
Werner van der Veen
39
1
0
05 Jan 2022
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and
  Implementation-Level Techniques
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
JunKyu Lee
L. Mukhanov
A. S. Molahosseini
U. Minhas
Yang Hua
Jesus Martinez del Rincon
K. Dichev
Cheol-Ho Hong
Hans Vandierendonck
44
29
0
30 Dec 2021
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded
  Neuromorphic Computing
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing
M. L. Varshika
Adarsha Balaji
Federico Corradi
Anup Das
J. Stuijt
F. Catthoor
30
24
0
23 Nov 2021
Silicon Photonic Architecture for Training Deep Neural Networks with
  Direct Feedback Alignment
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
M. Filipovich
Zhimu Guo
M. Al-Qadasi
Bicky A. Marquez
Hugh Morison
V. Sorger
Paul R. Prucnal
S. Shekhar
B. Shastri
28
52
0
12 Nov 2021
Stable Lifelong Learning: Spiking neurons as a solution to instability
  in plastic neural networks
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks
Samuel Schmidgall
Joe Hays
22
4
0
07 Nov 2021
Confusion-based rank similarity filters for computationally-efficient
  machine learning on high dimensional data
Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional data
K. Shapcott
Alex D. Bird
21
0
0
28 Sep 2021
Brian2Loihi: An emulator for the neuromorphic chip Loihi using the
  spiking neural network simulator Brian
Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian
Carlo Michaelis
Andrew B. Lehr
Winfried Oed
Christian Tetzlaff
21
12
0
25 Sep 2021
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons
  through Regularization
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization
Justus F. Hübotter
Pablo Lanillos
Jakub M. Tomczak
16
3
0
22 Sep 2021
Visual Sensation and Perception Computational Models for Deep Learning:
  State of the art, Challenges and Prospects
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects
Bing Wei
Yudi Zhao
K. Hao
Lei Gao
38
5
0
08 Sep 2021
A High-Fidelity Flow Solver for Unstructured Meshes on
  Field-Programmable Gate Arrays
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays
Martin Karp
Artur Podobas
Tobias Kenter
Niclas Jansson
Christian Plessl
P. Schlatter
Stefano Markidis
13
8
0
27 Aug 2021
Neuromorphic scaling advantages for energy-efficient random walk
  computation
Neuromorphic scaling advantages for energy-efficient random walk computation
J. Smith
A. Hill
Leah Reeder
B. Franke
R. Lehoucq
Ojas D. Parekh
William M. Severa
J. Aimone
12
31
0
27 Jul 2021
An active dendritic tree can mitigate fan-in limitations in
  superconducting neurons
An active dendritic tree can mitigate fan-in limitations in superconducting neurons
Bryce Primavera
J. Shainline
19
15
0
12 Jul 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking
  Neural Networks
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Muhammad Shafique
AAML
34
30
0
01 Jul 2021
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous
  Cars on the Loihi Neuromorphic Research Processor
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor
Alberto Viale
Alberto Marchisio
Maurizio Martina
Guido Masera
Muhammad Shafique
37
45
0
01 Jul 2021
A Construction Kit for Efficient Low Power Neural Network Accelerator
  Designs
A Construction Kit for Efficient Low Power Neural Network Accelerator Designs
Petar Jokic
E. Azarkhish
Andrea Bonetti
M. Pons
S. Emery
Luca Benini
16
3
0
24 Jun 2021
Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations
Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations
W. Olin-Ammentorp
M. Bazhenov
GNN
24
4
0
15 Jun 2021
Deep Phasor Networks: Connecting Conventional and Spiking Neural
  Networks
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks
W. Olin-Ammentorp
M. Bazhenov
24
5
0
15 Jun 2021
Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with
  Asynchronous Memory Transfers
Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers
Martin Svedin
Steven W. D. Chien
Gibson Chikafa
Niclas Jansson
Artur Podobas
6
21
0
09 Jun 2021
Bottom-up and top-down approaches for the design of neuromorphic
  processing systems: Tradeoffs and synergies between natural and artificial
  intelligence
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence
Charlotte Frenkel
D. Bol
Giacomo Indiveri
34
33
0
02 Jun 2021
Machine Learning for Security in Vehicular Networks: A Comprehensive
  Survey
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
Anum Talpur
M. Gurusamy
17
61
0
31 May 2021
Efficiency-driven Hardware Optimization for Adversarially Robust Neural
  Networks
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
Abhiroop Bhattacharjee
Abhishek Moitra
Priyadarshini Panda
AAML
27
8
0
09 May 2021
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration
  with Spiking Neural Networks
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks
Adarsha Balaji
Shihao Song
Twisha Titirsha
Anup Das
J. Krichmar
N. Dutt
J. Shackleford
Nagarajan Kandasamy
F. Catthoor
34
24
0
04 May 2021
Neuromorphic Computing is Turing-Complete
Neuromorphic Computing is Turing-Complete
Prasanna Date
Catherine D. Schuman
Bill Kay
T. Potok
22
21
0
28 Apr 2021
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks
Manuel Traub
Robert Legenstein
S. Otte
17
7
0
08 Apr 2021
XY Neural Networks
XY Neural Networks
N. Stroev
N. Berloff
22
0
0
31 Mar 2021
Self-learning Machines based on Hamiltonian Echo Backpropagation
Self-learning Machines based on Hamiltonian Echo Backpropagation
V. López-Pastor
F. Marquardt
46
33
0
08 Mar 2021
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic
  Platforms
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms
W. Olin-Ammentorp
Yury Sokolov
M. Bazhenov
OffRL
27
3
0
05 Mar 2021
A Case for 3D Integrated System Design for Neuromorphic Computing & AI
  Applications
A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications
Eren Kurshan
H. Li
Mingoo Seok
Yuan Xie
34
4
0
02 Mar 2021
Combining Spiking Neural Network and Artificial Neural Network for
  Enhanced Image Classification
Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification
Naoya Muramatsu
Haiyun Yu
11
3
0
21 Feb 2021
Infinite-dimensional Folded-in-time Deep Neural Networks
Florian Stelzer
H. Berlin
ODL
AI4CE
30
0
0
08 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
26
115
0
02 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
59
140
0
21 Dec 2020
Understanding Attention: In Minds and Machines
Understanding Attention: In Minds and Machines
S. P. Sawant
Shruti Singh
16
1
0
04 Dec 2020
Monadic Pavlovian associative learning in a backpropagation-free
  photonic network
Monadic Pavlovian associative learning in a backpropagation-free photonic network
James Y. S. Tan
Zengguang Cheng
J. Feldmann
Xuan Li
Nathan Youngblood
U. E. Ali
David Wright
W. Pernice
H. Bhaskaran
11
13
0
30 Nov 2020
PeleNet: A Reservoir Computing Framework for Loihi
PeleNet: A Reservoir Computing Framework for Loihi
Carlo Michaelis
9
3
0
24 Nov 2020
Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture
  using Feedback-Modulated Delay Loops
Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture using Feedback-Modulated Delay Loops
Florian Stelzer
André Röhm
Raul Vicente
Ingo Fischer
University of Tartu
AI4CE
19
46
0
19 Nov 2020
Revising the classic computing paradigm and its technological
  implementations
Revising the classic computing paradigm and its technological implementations
János Végh
11
7
0
16 Nov 2020
RANC: Reconfigurable Architecture for Neuromorphic Computing
RANC: Reconfigurable Architecture for Neuromorphic Computing
J. Mack
Ruben Purdy
K. Rockowitz
Michael Inouye
Edward Richter
...
Nirmal Kumbhare
M. S. Hassan
Kaitlin L. Fair
John Mixter
Ali Akoglu
26
22
0
01 Nov 2020
Optoelectronic Intelligence
Optoelectronic Intelligence
J. Shainline
GNN
33
24
0
17 Oct 2020
An Analysis of Alternating Direction Method of Multipliers for
  Feed-forward Neural Networks
An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks
Seyedeh Niusha Alavi Foumani
Ce Guo
Wayne Luk
6
1
0
06 Sep 2020
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