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Low-Power Neuromorphic Hardware for Signal Processing Applications

Low-Power Neuromorphic Hardware for Signal Processing Applications

11 January 2019
Bipin Rajendran
Abu Sebastian
M. Schmuker
N. Srinivasa
E. Eleftheriou
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Papers citing "Low-Power Neuromorphic Hardware for Signal Processing Applications"

16 / 16 papers shown
Title
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
Ahmed Faisal Abdelrahman
Matias Valdenegro-Toro
Maren Bennewitz
Paul G. Plöger
44
0
0
08 Apr 2024
Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking
  Neural Network
Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network
Yunhui Zhou
Dongqi Han
Yuguo Yu
3DH
41
0
0
10 Oct 2023
A Bibliometric Review of Neuromorphic Computing and Spiking Neural
  Networks
A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks
Nicholas J. Pritchard
A. Wicenec
Bennamoun
Richard Dodson
29
0
0
14 Apr 2023
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale
  Device Stochasticity
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
Prabodh Katti
N. Skatchkovsky
Osvaldo Simeone
Bipin Rajendran
Bashir M. Al-Hashimi
19
4
0
02 Feb 2023
Learning to learn online with neuromodulated synaptic plasticity in
  spiking neural networks
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
Samuel Schmidgall
Joe Hays
49
3
0
25 Jun 2022
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications
  for Remote Inference
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference
Jiechen Chen
N. Skatchkovsky
Osvaldo Simeone
47
36
0
13 Jun 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
44
1
0
05 Jan 2022
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
Federated Learning with Spiking Neural Networks
Federated Learning with Spiking Neural Networks
Yeshwanth Venkatesha
Youngeun Kim
Leandros Tassiulas
Priyadarshini Panda
FedML
33
47
0
11 Jun 2021
Dynamic Reliability Management in Neuromorphic Computing
Dynamic Reliability Management in Neuromorphic Computing
Shihao Song
Jui Hanamshet
Adarsha Balaji
Anup Das
J. Krichmar
N. Dutt
Nagarajan Kandasamy
F. Catthoor
23
23
0
05 May 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
Mohamed Bennai
BDL
59
140
0
21 Dec 2020
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
37
17
0
15 Dec 2020
Spiking Neural Networks -- Part I: Detecting Spatial Patterns
Spiking Neural Networks -- Part I: Detecting Spatial Patterns
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
10
10
0
27 Oct 2020
Optimality of short-term synaptic plasticity in modelling certain
  dynamic environments
Optimality of short-term synaptic plasticity in modelling certain dynamic environments
Timoleon Moraitis
Abu Sebastian
E. Eleftheriou
27
12
0
15 Sep 2020
Neuromorphic Computing for Content-based Image Retrieval
Neuromorphic Computing for Content-based Image Retrieval
Te-Yuan Liu
A. Mahjoubfar
Daniel Prusinski
Luis Stevens
VLM
24
11
0
04 Aug 2020
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
121
483
0
26 Mar 2018
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