Commentary on Structured chaos shapes spike-response noise entropy in balanced neural networks, by Lajoie, Thivierge, and Shea-Brown.
Peter J. ThomasPublished in: Frontiers Comput. Neurosci. (2015)
Keyphrases
- neural network
- arbitrary shape
- artificial neural networks
- image noise
- pattern recognition
- spiking neurons
- random noise
- structured data
- self organizing maps
- noise level
- fuzzy logic
- genetic algorithm
- particle swarm optimization
- missing data
- mutual information
- noise reduction
- noise model
- back propagation
- information entropy
- information theoretic
- shape model
- signal to noise ratio
- shape analysis
- shape descriptors
- gaussian noise
- current status
- noisy data
- negative correlation learning
- fuzzy systems
- shape matching
- neural nets
- information theory
- fault diagnosis
- input data
- rough sets
- d objects
- real world