Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks.
Trevor BekolayCarter KolbeckChris EliasmithPublished in: CogSci (2013)
Keyphrases
- biologically plausible
- spiking neural networks
- cognitive functions
- biologically inspired
- information processing
- feed forward
- human brain
- spiking neurons
- synaptic plasticity
- visual cortex
- biological systems
- receptive fields
- network architecture
- back propagation
- genetic algorithm
- training data
- neural network
- neural nets
- artificial neural networks
- image processing
- decision making