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Memristors -- from In-memory computing, Deep Learning Acceleration,
  Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired
  Computing

Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing

Advanced Intelligent Systems (Adv. Intell. Syst.), 2020
30 April 2020
A. Mehonic
Abu Sebastian
Bipin Rajendran
Osvaldo Simeone
Eleni Vasilaki
A. Kenyon
ArXiv (abs)PDFHTML

Papers citing "Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing"

14 / 14 papers shown
Self-Organising Memristive Networks as Physical Learning Systems
Self-Organising Memristive Networks as Physical Learning Systems
Francesco Caravelli
Gianluca Milano
Adam Z. Stieg
Carlo Ricciardi
Simon Anthony Brown
Zdenka Kuncic
AI4CE
168
3
0
31 Aug 2025
Preprocessing Methods for Memristive Reservoir Computing for Image Recognition
Preprocessing Methods for Memristive Reservoir Computing for Image Recognition
Rishona Daniels
Duna Wattad
R. Ronen
David Saad
Shahar Kvatinsky
233
1
0
05 Jun 2025
The Inherent Adversarial Robustness of Analog In-Memory Computing
The Inherent Adversarial Robustness of Analog In-Memory ComputingNature Communications (Nat. Commun.), 2024
Corey Lammie
Julian Büchel
A. Vasilopoulos
Corey Lammie
Abu Sebastian
AAML
418
10
0
11 Nov 2024
A Survey on Offensive AI Within Cybersecurity
A Survey on Offensive AI Within Cybersecurity
Sahil Girhepuje
Aviral Verma
Gaurav Raina
AAML
255
7
0
26 Sep 2024
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via
  Ensembles of Spiking Neural Networks
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural NetworksEntropy (Entropy), 2023
Jiechen Chen
Sangwoo Park
Osvaldo Simeone
333
4
0
25 Oct 2023
Bayesian Continual Learning via Spiking Neural Networks
Bayesian Continual Learning via Spiking Neural NetworksFrontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2022
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
BDL
335
24
0
29 Aug 2022
On-device Synaptic Memory Consolidation using Fowler-Nordheim
  Quantum-tunneling
On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunnelingFrontiers in Neuroscience (Front. Neurosci.), 2022
Mustafizur Rahman
Subhankar Bose
S. Chakrabartty
181
4
0
27 Jun 2022
Wearable uBrain: Fabric Based-Spiking Neural Network
Wearable uBrain: Fabric Based-Spiking Neural Network
Frances Cleary
W. Srisa-an
Beatriz Gil
Jaideep C. Kesavan
T. Engel
D. Henshall
Sasitharan Balasubramaniam
147
1
0
25 Feb 2022
2D-Motion Detection using SNNs with Graphene-Insulator-Graphene
  Memristive Synapses
2D-Motion Detection using SNNs with Graphene-Insulator-Graphene Memristive Synapses
Shubham Pande
Karthik Srinivasan
S. Balanethiram
B. Chakrabarti
A. Chakravorty
127
0
0
30 Nov 2021
Quantifying the Computational Capability of a Nanomagnetic Reservoir
  Computing Platform with Emergent Magnetization Dynamics
Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics
Ian T. Vidamour
Matthew O. A. Ellis
David Griffin
G. Venkat
C. Swindells
...
S. Dhesi
Susan Stepney
Eleni Vasilaki
D. Allwood
T. Hayward
286
17
0
29 Nov 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 intelligenceProceedings of the IEEE (Proc. IEEE), 2021
Charlotte Frenkel
D. Bol
Giacomo Indiveri
338
64
0
02 Jun 2021
Brain-inspired computing: We need a master plan
Brain-inspired computing: We need a master plan
A. Mehonic
A. Kenyon
242
528
0
29 Apr 2021
Memristive Stochastic Computing for Deep Learning Parameter Optimization
Memristive Stochastic Computing for Deep Learning Parameter Optimization
Corey Lammie
Nhan Duy Truong
Wei D. Lu
M. R. Azghadi
BDL
117
26
0
11 Mar 2021
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian
  Learning
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
282
21
0
15 Dec 2020
1
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