The role of background synaptic noise in striatal fast spiking interneurons.
Jeanette Hellgren KotaleskiDietmar PlenzKim T. BlackwellPublished in: Neurocomputing (2005)
Keyphrases
- spiking neural networks
- feed forward
- single neuron
- neuron model
- background noise
- spiking neurons
- neural models
- learning rules
- hebbian learning
- image noise
- signal to noise ratio
- noise level
- control algorithm
- random noise
- noise reduction
- additive noise
- neural network
- biologically inspired
- noisy environments
- missing data
- artificial neural networks
- activation function
- foreground objects
- fuzzy cognitive maps
- spike trains
- high contrast
- image quality
- long range
- basal ganglia
- video sequences
- learning algorithm