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TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth

TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth

16 January 2016
P. U. Diehl
Bruno U. Pedroni
A. Cassidy
P. Merolla
Emre Neftci
Guido Zarrella
ArXiv (abs)PDFHTML

Papers citing "TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth"

23 / 23 papers shown
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks
  with TTFS Coding
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS CodingIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Qu Yang
Malu Zhang
Jibin Wu
Kay Chen Tan
Haizhou Li
326
15
0
23 Oct 2023
A Novel Implementation Methodology for Error Correction Codes on a
  Neuromorphic Architecture
A Novel Implementation Methodology for Error Correction Codes on a Neuromorphic ArchitectureIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023
Sahil Hassan
Parker Dattilo
Ali Akoglu
239
3
0
06 Jun 2023
Event-based Simultaneous Localization and Mapping: A Comprehensive
  Survey
Event-based Simultaneous Localization and Mapping: A Comprehensive Survey
Kunping Huang
Sen Zhang
Jing Zhang
Dacheng Tao
289
39
0
19 Apr 2023
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient
  Training in Deep Spiking Neural Networks
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks
Di Hong
Jiangrong Shen
Yu Qi
Yueming Wang
233
13
0
17 Apr 2023
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural
  Networks
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Xing-Hua Yao
Fanrong Li
Zitao Mo
Jianguo Cheng
437
142
0
25 Oct 2022
Construction of a spike-based memory using neural-like logic gates based
  on Spiking Neural Networks on SpiNNaker
Construction of a spike-based memory using neural-like logic gates based on Spiking Neural Networks on SpiNNakerIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2022
A. Ayuso-Martinez
Daniel Casanueva-Morato
Juan P. Dominguez-Morales
Angel Jimenez-Fernandez
Gabriel Jimenez-Moreno
150
5
0
08 Jun 2022
RANC: Reconfigurable Architecture for Neuromorphic Computing
RANC: Reconfigurable Architecture for Neuromorphic ComputingIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
J. Mack
Ruben Purdy
K. Rockowitz
Michael Inouye
Edward Richter
...
Nirmal Kumbhare
M. S. Hassan
Kaitlin L. Fair
John Mixter
Ali Akoglu
220
30
0
01 Nov 2020
Training Deep Spiking Neural Networks
Training Deep Spiking Neural Networks
Eimantas Ledinauskas
J. Ruseckas
Alfonsas Jursenas
Giedrius Burachas
357
60
0
08 Jun 2020
Rectified Linear Postsynaptic Potential Function for Backpropagation in
  Deep Spiking Neural Networks
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks
Malu Zhang
Jiadong Wang
Burin Amornpaisannon
Zhixuan Zhang
VPK Miriyala
...
Hong Qu
Jibin Wu
Yansong Chua
Trevor E. Carlson
Haizhou Li
269
22
0
26 Mar 2020
Comprehensive SNN Compression Using ADMM Optimization and Activity
  Regularization
Comprehensive SNN Compression Using ADMM Optimization and Activity RegularizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Lei Deng
Yujie Wu
Yifan Hu
Ling Liang
Guoqi Li
Xing Hu
Yufei Ding
Peng Li
Yuan Xie
419
109
0
03 Nov 2019
Stochasticity and Robustness in Spiking Neural Networks
Stochasticity and Robustness in Spiking Neural Networks
W. Olin-Ammentorp
K. Beckmann
Catherine D. Schuman
J. Plank
N. Cady
178
15
0
06 Jun 2019
Improved robustness of reinforcement learning policies upon conversion
  to spiking neuronal network platforms applied to ATARI games
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games
Devdhar Patel
Hananel Hazan
D. J. Saunders
H. Siegelmann
R. Kozma
OffRL
291
11
0
26 Mar 2019
Deep Learning with the Random Neural Network and its Applications
Deep Learning with the Random Neural Network and its Applications
Yonghua Yin
108
10
0
08 Oct 2018
SLAYER: Spike Layer Error Reassignment in Time
SLAYER: Spike Layer Error Reassignment in Time
S. Shrestha
Garrick Orchard
478
890
0
05 Sep 2018
Layer-wise synapse optimization for implementing neural networks on
  general neuromorphic architectures
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures
John Mern
Jayesh K. Gupta
Mykel Kochenderfer
155
2
0
20 Feb 2018
A Survey of Neuromorphic Computing and Neural Networks in Hardware
A Survey of Neuromorphic Computing and Neural Networks in Hardware
Catherine D. Schuman
T. Potok
Robert M. Patton
J. Birdwell
Mark E. Dean
Garrett S. Rose
J. Plank
413
773
0
19 May 2017
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
S. K. Esser
P. Merolla
John V. Arthur
A. Cassidy
R. Appuswamy
...
Pallab Datta
A. Amir
B. Taba
M. Flickner
D. Modha
3DH
331
752
0
28 Mar 2016
Energy-efficient neuromorphic classifiers
Energy-efficient neuromorphic classifiers
Daniel Martí
Mattia Rigotti
Mingoo Seok
Stefano Fusi
177
33
0
01 Jul 2015
Deep Learning with Limited Numerical Precision
Deep Learning with Limited Numerical Precision
Suyog Gupta
A. Agrawal
K. Gopalakrishnan
P. Narayanan
HAI
644
2,165
0
09 Feb 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural NetworksNeural Information Processing Systems (NeurIPS), 2014
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
1.3K
21,896
0
10 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature EmbeddingACM Multimedia (ACM MM), 2014
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
1.0K
14,835
0
20 Jun 2014
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector SpaceInternational Conference on Learning Representations (ICLR), 2013
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
1.6K
34,055
0
16 Jan 2013
Natural Language Processing (almost) from Scratch
Natural Language Processing (almost) from ScratchJournal of machine learning research (JMLR), 2011
R. Collobert
Jason Weston
Léon Bottou
Michael Karlen
Koray Kavukcuoglu
Pavel P. Kuksa
861
7,889
0
02 Mar 2011
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