Biologically plausible deep learning - But how far can we go with shallow networks?
Bernd IllingWulfram GerstnerJohanni BreaPublished in: Neural Networks (2019)
Keyphrases
- deep learning
- biologically plausible
- biologically inspired
- spiking neural networks
- feed forward
- unsupervised learning
- unsupervised feature learning
- machine learning
- visual cortex
- mental models
- biological systems
- question answering
- weakly supervised
- network architecture
- neural network
- natural language processing
- active learning
- artificial neural networks
- receptive fields
- support vector
- computer vision