STDP-based spiking deep neural networks for object recognition.
Saeed Reza KheradpishehMohammad GanjtabeshSimon J. ThorpeTimothée MasquelierPublished in: CoRR (2016)
Keyphrases
- object recognition
- neural network
- feed forward
- spiking neural networks
- learning rules
- neuron model
- pattern recognition
- bio inspired
- hebbian learning
- recurrent neural networks
- biologically inspired
- computer vision
- back propagation
- image features
- neural models
- genetic algorithm
- image understanding
- fuzzy systems
- feed forward neural networks
- image representation
- object detection
- artificial neural networks
- constrained search
- object categorization
- biologically plausible
- neural nets
- d objects
- spiking neurons
- shape recognition
- neural model
- multi layer
- fuzzy logic
- fault diagnosis
- machine learning
- multiscale
- visual object recognition
- video sequences
- connectionist models
- natural images
- image matching
- visual recognition
- template matching
- associative memory
- object classification
- object class
- feature detection