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Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power
  of neuromorphic datasets in the time domain

Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain

3 July 2018
Laxmi R. Iyer
Yansong Chua
Haizhou Li
ArXivPDFHTML

Papers citing "Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain"

9 / 9 papers shown
Title
Impact of spiking neurons leakages and network recurrences on
  event-based spatio-temporal pattern recognition
Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition
Mohamed Sadek Bouanane
D. Cherifi
Elisabetta Chicca
Lyes Khacef
29
13
0
14 Nov 2022
Spiking Neural Networks for event-based action recognition: A new task
  to understand their advantage
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage
Alex Vicente-Sola
D. L. Manna
Paul Kirkland
G. D. Caterina
Trevor Bihl
26
8
0
29 Sep 2022
Bina-Rep Event Frames: a Simple and Effective Representation for
  Event-based cameras
Bina-Rep Event Frames: a Simple and Effective Representation for Event-based cameras
Sami Barchid
José Mennesson
Chaabane Djéraba
21
12
0
28 Feb 2022
An optimised deep spiking neural network architecture without gradients
An optimised deep spiking neural network architecture without gradients
Y. Bethi
Ying Xu
Gregory Cohen
A. van Schaik
Saeed Afshar
OOD
16
13
0
27 Sep 2021
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Haowen Fang
Brady Taylor
Ziru Li
Zaidao Mei
Hai Helen Li
Qinru Qiu
38
10
0
21 Apr 2021
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities
  and Differences
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
Weihua He
Yujie Wu
Lei Deng
Guoqi Li
Haoyu Wang
Yang Tian
Wei Ding
Wenhui Wang
Yuan Xie
88
125
0
02 May 2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature
  Extraction
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
Alireza Samadzadeh
Fatemeh Sadat Tabatabaei Far
Ali Javadi
A. Nickabadi
M. Chehreghani
38
49
0
27 Mar 2020
An efficient and perceptually motivated auditory neural encoding and
  decoding algorithm for spiking neural networks
An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks
Zihan Pan
Yansong Chua
Jibin Wu
Malu Zhang
Haizhou Li
E. Ambikairajah
11
34
0
03 Sep 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
37
639
0
16 Sep 2018
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