A two-stage cascade nonlinear dynamical model of single neurons for the separation and quantification of pre- and post-synaptic mechanisms of synaptic transmission.
Ude LuShane M. RoachDong SongTheodore W. BergerPublished in: EMBC (2011)
Keyphrases
- computational model
- neuron model
- statistical model
- nonlinear dynamical
- mathematical model
- probability distribution
- probabilistic model
- artificial neural networks
- experimental data
- computational models
- analytical model
- spiking neural networks
- hebbian learning
- high level
- markov random field
- input data
- objective function
- feed forward
- biologically inspired
- learning rules
- neural network