Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework.
Xiao HuangWei WuPeijie YinHong QiaoPublished in: IJCNN (2017)
Keyphrases
- biologically inspired
- recurrent networks
- recurrent neural networks
- biologically plausible
- learning rules
- learning scheme
- neural network
- learning process
- feed forward
- artificial intelligence
- receptive fields
- sensory motor
- long short term memory
- colour image segmentation
- reservoir computing
- motor control
- colour images
- natural images
- artificial neural networks
- learning algorithm