Spatial quantification of the synaptic activity phenotype across large populations of neurons with Markov random fields.
Sean RobinsonMichael CourtneyPublished in: Bioinform. (2018)
Keyphrases
- markov random field
- single neuron
- graph cuts
- synaptic plasticity
- belief propagation
- higher order
- learning rules
- action potentials
- spiking neurons
- neuron model
- spiking neural networks
- energy function
- image restoration
- random fields
- image segmentation
- parameter estimation
- energy minimization
- mrf model
- low level vision
- potential functions
- pairwise
- maximum a posteriori
- neural network
- feed forward
- biologically plausible
- spatial information
- message passing
- textured images
- map inference
- loopy belief propagation
- natural images
- texture model
- piecewise constant functions
- iterative conditional
- synaptic weights
- conditional random fields
- efficient inference
- partition function
- potts model
- primary visual cortex
- gene expression
- input patterns
- visual cortex
- map estimation