An objective function for self-limiting neural plasticity rules.
Rodrigo EchevesteClaudius GrosPublished in: ESANN (2015)
Keyphrases
- objective function
- learning rules
- biologically plausible
- biologically inspired
- spike trains
- lower bound
- optimization problems
- classification rules
- multi objective
- weighted sum
- network architecture
- constrained optimization
- rule sets
- linear programming
- neural network
- decision rules
- rule learning
- optimal solution
- spiking neurons
- neural model
- production rules
- evolutionary algorithm
- artificial neural networks
- association rules
- reinforcement learning
- artificial intelligence
- data mining