Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses

Dependent Plasticity ◽

Change Memory

Emulation of spike-timing dependent plasticity in nano-scale phase change memory

Neurocomputing ◽

10.1016/j.neucom.2014.12.036 ◽

2015 ◽

Vol 155 ◽

pp. 153-158 ◽

Cited By ~ 9

Author(s):

Dae-Hwan Kang ◽

Hyun-Goo Jun ◽

Kyung-Chang Ryoo ◽

Hongsik Jeong ◽

Hyunchul Sohn

Keyword(s):

Phase Change ◽

Phase Change Memory ◽

Spike Timing ◽

Dependent Plasticity ◽

Nano Scale ◽

Change Memory

Simple square pulses for implementing spike-timing-dependent plasticity in phase-change memory

physica status solidi (RRL) - Rapid Research Letters ◽

10.1002/pssr.201510150 ◽

2015 ◽

Vol 9 (7) ◽

pp. 414-419 ◽

Cited By ~ 11

Author(s):

Yingpeng Zhong ◽

Yi Li ◽

Lei Xu ◽

Xiangshui Miao

Keyword(s):

Phase Change ◽

Phase Change Memory ◽

Spike Timing ◽

Dependent Plasticity ◽

Change Memory

Unsupervised learning of visual features through Spike Timing Dependent Plasticity

PLoS Computational Biology ◽

10.1371/journal.pcbi.0030031.eor ◽

2005 ◽

Vol preprint (2007) ◽

pp. e31 ◽

Cited By ~ 2

Author(s):

Timothée Masquelier ◽

Simon J Thorpe

Keyword(s):

Unsupervised Learning ◽

Spike Timing ◽

Visual Features ◽

Fast unsupervised learning for visual pattern recognition using spike timing dependent plasticity

Neurocomputing ◽

10.1016/j.neucom.2017.04.003 ◽

2017 ◽

Vol 249 ◽

pp. 212-224 ◽

Cited By ~ 16

Author(s):

Daqi Liu ◽

Shigang Yue

Keyword(s):

Pattern Recognition ◽

Unsupervised Learning ◽

Spike Timing ◽

Visual Pattern ◽

Dependent Plasticity ◽

Visual Pattern Recognition

Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity

Artificial General Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-09274-4_28 ◽

2014 ◽

pp. 254-257 ◽

Cited By ~ 6

Author(s):

Banafsheh Rekabdar ◽

Monica Nicolescu ◽

Richard Kelley ◽

Mircea Nicolescu

Keyword(s):

Unsupervised Learning ◽

Temporal Patterns ◽

Spike Timing ◽

Dependent Plasticity ◽

Spatio Temporal

A Spiking Neural Network with a Global Self-Controller for Unsupervised Learning Based on Spike-Timing-Dependent Plasticity Using Flash Memory Synaptic Devices

2019 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2019.8851744 ◽

2019 ◽

Author(s):

Won-Mook Kang ◽

Chul-Heung Kim ◽

Soochang Lee ◽

Sung Yun Woo ◽

Jong-Ho Bae ◽

...

Keyword(s):

Neural Network ◽

Unsupervised Learning ◽

Flash Memory ◽

Spike Timing ◽

Spiking Neural Network ◽

Implementing Spike-Timing-Dependent Plasticity and Unsupervised Learning in a Mainstream NOR Flash Memory Array

2018 IEEE International Electron Devices Meeting (IEDM) ◽

10.1109/iedm.2018.8614561 ◽

2018 ◽

Cited By ~ 7

Author(s):

G. Malavena ◽

A. S. Spinelli ◽

C. Monzio Compagnoni

Keyword(s):

Unsupervised Learning ◽

Flash Memory ◽

Spike Timing ◽

Dependent Plasticity ◽

Memory Array ◽

Nor Flash

Unsupervised Learning by Spike-Timing-Dependent Plasticity in a Mainstream NOR Flash Memory Array—Part I: Cell Operation

IEEE Transactions on Electron Devices ◽

10.1109/ted.2019.2940602 ◽

2019 ◽

Vol 66 (11) ◽

pp. 4727-4732 ◽

Cited By ~ 3

Author(s):

Gerardo Malavena ◽

Matteo Filippi ◽

Alessandro S. Spinelli ◽

Christian Monzio Compagnoni

Keyword(s):

Unsupervised Learning ◽

Flash Memory ◽

Spike Timing ◽

Dependent Plasticity ◽

Memory Array ◽

Nor Flash

Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity

Lecture Notes in Computer Science - Perception in Multimodal Dialogue Systems ◽

10.1007/978-3-540-69369-7_14 ◽

2008 ◽

pp. 123-131 ◽

Cited By ~ 9

Author(s):

Ulrich Weidenbacher ◽

Heiko Neumann

Keyword(s):

Unsupervised Learning ◽

Spike Timing ◽

Head Pose ◽

Adaptation of Spike-Timing-Dependent Plasticity to Unsupervised Learning for Polychronous Wavefront Computing

Procedia Computer Science ◽

10.1016/j.procs.2015.09.146 ◽

2015 ◽

Vol 61 ◽

pp. 314-321 ◽

Cited By ~ 3

Author(s):

Fred Highland ◽

Corey B. Hart

Keyword(s):

Unsupervised Learning ◽

Spike Timing ◽