Concepedia

Rate-coded DBN: An online strategy for spike-based deep belief networks

Mazdak Fatahi, Mahyar Shahsavari, Mahmood Ahmadi, Arash Ahmadi, Pierre Boulet, Philippe Devienne

Biologically Inspired Cognitive Architectures · 2018 · 11 citations · 26 references

Concepts

ComputingComputer ScienceMachine LearningNeural EngineeringDeep LearningNeural CodingNeural EncodingNeural NetworksRepresentation LearningSpiking Neural NetworksDeep Belief NetworksDeep Spiking Neural NetworksSpike CodingSpike Train CodingSpike Train DecodingSpiking Network ArchitecturesSpiking Neural Network Models

References

26

A Fast Learning Algorithm for Deep Belief Nets

Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh · Neural Computation · 2006 · 16.4K citations

Computing, Computer Science, Artificial Intelligence +16

Learning Deep Architectures for AI

Yoshua Bengio · Foundations and Trends® in Machine Learning · 2009 · 6.9K citations

Computing, Computer Science, Artificial Intelligence +7

Training Products of Experts by Minimizing Contrastive Divergence

Geoffrey E. Hinton · Neural Computation · 2002 · 5K citations

Computing, Computer Science, Computer Vision +15

A million spiking-neuron integrated circuit with a scalable communication network and interface

Paul Merolla, John V. Arthur, Rodrigo Alvarez-Icaza et al. · Science · 2014 · 4.1K citations

Engineering, Computer Engineering, Electrical Engineering +17

Which Model to Use for Cortical Spiking Neurons?

Eugene M. Izhikevich · IEEE Transactions on Neural Networks · 2004 · 2.6K citations

Life Sciences, Neurobiology, Neuroscience +17