Title
A learning framework for winner-take-all networks with stochastic synapses.
Abstract
Many recent generative models make use of neural networks to transform the probability distribution of a simple low-dimensional noise process into the complex distribution of the data. This raises the question of whether biological networks operate along similar principles to implement a probabilistic model of the environment through transformations of intrinsic noise processes. The intrinsic neur...
Year
DOI
Venue
2018
10.1162/neco_a_01080
Neural Computation
DocType
Volume
Issue
Journal
30
6
ISSN
Citations 
PageRank 
0899-7667
1
0.35
References 
Authors
19
2
Name
Order
Citations
PageRank
Mostafa, Hesham11088.38
Gert Cauwenberghs21262167.20