Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise.
Pratik S. SachdevaJesse A. LivezeyMichael Robert DeWeesePublished in: Neural Comput. (2020)
Keyphrases
- hebbian learning
- learning rules
- neural network
- neuron model
- spiking neurons
- coding scheme
- coding method
- network architecture
- feed forward
- spiking neural networks
- noise level
- noise reduction
- random noise
- missing data
- signal to noise ratio
- primary visual cortex
- synaptic plasticity
- additive noise
- noisy data
- control system
- artificial neural networks
- noise model
- gaussian noise
- motion vectors
- motion estimation
- single neuron
- video sequences