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Prediction of single neuron spiking activity using an optimized nonlinear dynamic model
2012
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
The increasing need of knowledge in the treatment of brain diseases has driven a huge interest in understanding the phenomenon of neural spiking. Researchers have successfully been able to create mathematical models which, with specific parameters, are able to reproduce the experimental neuronal responses. The spiking activity is characterized using spike trains and it is essential to develop methods for parameter estimation that rely solely on the spike times or interspike intervals (ISI). In
doi:10.1109/embc.2012.6346482
pmid:23366443
dblp:conf/embc/MitraMS12
fatcat:x4whqyvrlfgfbpju43ohkbklui