Biophysical parameters control signal transfer in spiking network.
Tomás Garnier ArtiñanoVafa AndalibiIiris AtulaMatteo MaestriSimo VanniPublished in: Frontiers Comput. Neurosci. (2023)
Keyphrases
- network parameters
- measured data
- spiking neural networks
- network model
- signal processing
- maximum likelihood
- spiking neurons
- distributed control
- radial basis function network
- control system
- parameter values
- wireless sensor networks
- input patterns
- network architecture
- hebbian learning
- control signals
- single neuron
- bio inspired
- control parameters
- network structure
- parameter estimation
- feedback loop
- control method
- control strategy
- feed forward
- computer networks
- complex networks
- peer to peer
- neuron model