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Neko: a Library for Exploring Neuromorphic Learning Rules
v1v2 (latest)

Neko: a Library for Exploring Neuromorphic Learning Rules

1 May 2021
Zixuan Zhao
Nathan Wycoff
N. Getty
Rick L. Stevens
Fangfang Xia
ArXiv (abs)PDFHTML

Papers citing "Neko: a Library for Exploring Neuromorphic Learning Rules"

13 / 13 papers shown
Title
A toolbox for neuromorphic sensing in robotics
A toolbox for neuromorphic sensing in robotics
Julien Dupeyroux
S. Stroobants
Guido de Croon
77
12
0
03 Mar 2021
Scaling Down Deep Learning with MNIST-1D
Scaling Down Deep Learning with MNIST-1D
S. Greydanus
Dmitry Kobak
47
20
0
29 Nov 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
520
42,449
0
03 Dec 2019
A Unified Framework of Online Learning Algorithms for Training Recurrent
  Neural Networks
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
O. Marschall
Kyunghyun Cho
Cristina Savin
FedML
71
73
0
05 Jul 2019
Deep Learning without Weight Transport
Deep Learning without Weight Transport
Mohamed Akrout
Collin Wilson
Peter C. Humphreys
Timothy Lillicrap
D. Tweed
CVBM
74
134
0
10 Apr 2019
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
92
1,237
0
28 Jan 2019
Dendritic cortical microcircuits approximate the backpropagation
  algorithm
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento
Rui Ponte Costa
Yoshua Bengio
Walter Senn
80
312
0
26 Oct 2018
ECG Heartbeat Classification: A Deep Transferable Representation
ECG Heartbeat Classification: A Deep Transferable Representation
Mohammad Kachuee
Shayan Fazeli
Majid Sarrafzadeh
39
418
0
19 Apr 2018
SuperSpike: Supervised learning in multi-layer spiking neural networks
SuperSpike: Supervised learning in multi-layer spiking neural networks
Friedemann Zenke
Surya Ganguli
78
566
0
31 May 2017
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
92
945
0
31 Aug 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
829
9,318
0
06 Jun 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
292
3,279
0
09 Jun 2012
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