Highly Heterogeneous Excitatory Connections Require Less Amount of Noise to Sustain Firing Activities in Cortical Networks.
Hisashi KadaJun-nosuke TeramaeIsao T. TokudaPublished in: Frontiers Comput. Neurosci. (2018)
Keyphrases
- highly heterogeneous
- spiking neurons
- activity recognition
- visual cortex
- random noise
- human activities
- social networks
- noise model
- receptive fields
- noisy data
- noise level
- multiscale
- noise reduction
- noise free
- visual processing
- feed forward
- signal to noise ratio
- natural images
- data sets
- image processing
- biologically plausible
- synaptic weights
- noisy environments
- heterogeneous networks
- arbitrary shape
- network analysis
- input data
- denoising