Poisson distributed noise generation for spiking neural applications.
Katherine L. CameronThomas F. ClaytonBruce RaeAlan F. MurrayRobert K. HendersonEdoardo CharbonPublished in: ISCAS (2010)
Keyphrases
- bio inspired
- neuron model
- spike trains
- biologically plausible
- hebbian learning
- learning rules
- neural network
- spiking neural networks
- distributed systems
- spiking neurons
- single neuron
- network architecture
- fault tolerant
- distributed environment
- missing data
- computer networks
- noisy data
- peer to peer
- multi agent
- random noise
- cooperative
- biologically inspired
- computing environments
- noise reduction
- feed forward
- connectionist models
- neural models
- poisson distribution
- noisy environments
- generation process
- noise model
- additive noise
- communication cost
- closed form
- mobile agents
- multiscale