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

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

21 October 2018

Osvaldo Simeone

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

6 / 6 papers shown

Title
Training Probabilistic Spiking Neural Networks with First-to-spike Decoding Alireza Bagheri Osvaldo Simeone Bipin Rajendran BDL 39 27 0 29 Oct 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 64 1,027 0 08 Jun 2017
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 114 696 0 19 May 2017
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 92 946 0 31 Aug 2016
Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding Brian Gardner André Grüning 33 52 0 14 Jan 2016
Network Plasticity as Bayesian Inference David Kappel Stefan Habenschuss Robert Legenstein Wolfgang Maass 74 122 0 20 Apr 2015