Neural representations of compositional structures: representing and manipulating vector spaces with spiking neurons.
Terrence C. StewartTrevor BekolayChris EliasmithPublished in: Connect. Sci. (2011)
Keyphrases
- spiking neurons
- vector space
- neuron model
- biologically plausible
- spiking neural networks
- spike trains
- graph classification
- hebbian learning
- feed forward
- network architecture
- distance measure
- similarity search
- biologically inspired
- neural network
- feed forward neural networks
- visual processing
- low dimensional
- feature vectors
- learning rules
- input patterns
- computer vision
- data mining
- back propagation
- data points