Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring.
Daniel MinerJochen TrieschPublished in: PLoS Comput. Biol. (2016)
Keyphrases
- feed forward
- spiking neural networks
- feature set
- biologically plausible
- classification accuracy
- co occurrence
- biologically inspired
- learning algorithm
- learning mechanism
- constrained optimization
- geometric constraints
- low level
- neural network
- structural information
- back propagation
- image features
- receptive fields
- feature space
- topological features
- geometric objects