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Training Dynamic Exponential Family Models with Causal and Lateral
  Dependencies for Generalized Neuromorphic Computing

Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing

21 October 2018
Hyeryung Jang
Osvaldo Simeone
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Papers citing "Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing"

3 / 3 papers shown
Title
Multi-Sample Online Learning for Spiking Neural Networks based on
  Generalized Expectation Maximization
Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization
Hyeryung Jang
Osvaldo Simeone
36
0
0
05 Feb 2021
Memristors -- from In-memory computing, Deep Learning Acceleration,
  Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired
  Computing
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
A. Mehonic
Abu Sebastian
Bipin Rajendran
Osvaldo Simeone
Eleni Vasilaki
A. Kenyon
24
200
0
30 Apr 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of
  Probabilistic Spiking Winner-Take-All Circuits
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
32
11
0
20 Apr 2020
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