Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks.
Elizabeth Perez ReillyJeffrey S. GarretsonWilliam R. Gray RoncalDean M. KleissasBrock A. WesterMark A. ChevilletMatthew J. RoosPublished in: Frontiers Neuroinformatics (2018)
Keyphrases
- neural network
- network architecture
- reconstructed image
- connectionist models
- three dimensional
- neural fuzzy
- artificial neural networks
- image reconstruction
- classification accuracy
- high accuracy
- back propagation
- connected components
- error rate
- neural network model
- associative memory
- computational cost
- genetic algorithm
- neural computation
- recurrent neural networks
- learning rules
- spiking neural networks
- neural learning
- precision and recall
- distance measure
- high resolution
- pattern recognition
- multilayer perceptron
- integrity constraints
- fuzzy systems
- training process
- fault diagnosis
- x ray
- image compression
- neural models
- learning algorithm