Biologically Inspired Feedforward Supervised Learning for Deep Self-Organizing Map Networks.
Takashi ShinozakiPublished in: CoRR (2017)
Keyphrases
- self organizing maps
- biologically inspired
- feed forward
- recurrent networks
- biologically plausible
- spiking neural networks
- supervised learning
- unsupervised learning
- neural network
- back propagation
- artificial neural networks
- neural nets
- recurrent neural networks
- visual cortex
- receptive fields
- growing self organizing map
- semi supervised
- probabilistic neural network
- som neural network
- learning rules
- training data
- machine learning
- hidden layer
- k means
- biological systems
- learning algorithm
- input data
- humanoid robot
- reinforcement learning
- text classification
- multiscale