Multi-objective parameter estimation of biologically plausible neural networks in different behavior stages.
Andreas HerzogSebastian HandrichChristoph S. HerrmannPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- parameter estimation
- biologically plausible
- multi objective
- feed forward
- neural network
- biologically inspired
- maximum likelihood
- network architecture
- least squares
- model selection
- em algorithm
- spiking neural networks
- back propagation
- genetic algorithm
- expectation maximization
- random fields
- synaptic weights
- neural nets
- parameter estimation algorithm
- markov random field
- evolutionary algorithm
- spiking neurons
- visual cortex
- artificial neural networks
- objective function
- estimation problems
- learning rules
- biological systems
- machine learning
- hidden layer
- fuzzy logic
- recurrent neural networks
- image classification
- multi agent systems
- optical flow
- support vector
- graphical models