Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density.
Pau ClosasAntoni GuillamónPublished in: EURASIP J. Adv. Signal Process. (2017)
Keyphrases
- particle filtering
- particle filter
- importance sampling
- visual tracking
- state estimation
- action potentials
- multiple targets
- density function
- conditional density
- object tracking
- kalman filter
- appearance model
- input patterns
- neural network
- bayesian filtering
- human motion
- optimal solution
- mean shift
- neuron model
- spiking neurons
- kalman filtering
- dynamic programming
- ego motion estimation
- dynamic bayesian networks
- sequential monte carlo
- single neuron
- input data
- robust object tracking
- image classification
- learning rules
- proposal distribution
- articulated body
- graph cuts
- high dimensional
- search algorithm
- articulated hand