Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces.
Kaushalya KumarasingheNikola K. KasabovDenise TaylorPublished in: Neural Networks (2020)
Keyphrases
- deep learning
- brain computer interface
- spiking neural networks
- knowledge representation
- biologically inspired
- machine learning
- unsupervised feature learning
- learning rules
- unsupervised learning
- deep architectures
- feed forward
- artificial neural networks
- neural network
- signal processing
- weakly supervised
- brain activity
- artificial intelligence
- natural language
- biologically plausible
- deep belief networks
- expert systems
- training algorithm
- natural language processing
- motor control
- knowledge base
- active learning
- mental models
- image processing
- learning algorithm
- pattern recognition
- decision trees