Structured chaos shapes spike-response noise entropy in balanced neural networks.
Guillaume LajoieJean-Philippe ThiviergeEric Shea-BrownPublished in: Frontiers Comput. Neurosci. (2014)
Keyphrases
- neural network
- arbitrary shape
- pattern recognition
- random noise
- back propagation
- information theoretic
- real world
- spiking neurons
- noise level
- artificial neural networks
- fuzzy logic
- noise reduction
- noisy data
- noise model
- multi layer
- shape recognition
- image processing
- fuzzy systems
- signal to noise ratio
- recurrent neural networks
- shape descriptors
- neural network model
- structured data
- missing data
- particle swarm optimization
- mutual information
- neural nets
- shape analysis
- fault diagnosis
- gaussian noise
- image noise
- genetic algorithm
- synaptic weights