Applying differential evolution MCMC to parameterize large-scale spiking neural simulations.
Richard VealeTadashi IsaMasatoshi YoshidaPublished in: CEC (2015)
Keyphrases
- differential evolution
- evolutionary algorithm
- bio inspired
- optimization algorithm
- differential evolution algorithm
- spike trains
- convergence speed
- hebbian learning
- test functions
- optimization method
- particle swarm optimization
- neuron model
- hodgkin huxley
- genetic algorithm
- biologically plausible
- particle swarm optimization pso
- mutation operator
- single neuron
- markov chain
- learning rules
- spiking neural networks
- feed forward
- swarm intelligence
- spiking neurons
- numerical optimization problems
- biologically inspired
- neural network
- multi objective optimization
- function optimization problems
- evolutionary programming
- solving global optimization problems
- global optimization problems
- crossover operator
- direct search
- basal ganglia
- artificial bee colony
- evolution strategy
- pso algorithm
- parameter estimation
- real coded
- model selection
- bayesian inference
- posterior distribution