- Poster presentation
- Open Access
Nonlinear system identification of receptive fields from spiking neuron data
© Florescu and Coca 2015
- Published: 18 December 2015
- Receptive Field
- Forward Selection
- Frequency Response Function
- Linear Filter
- Input Stimulus
Identification of a linear filter in cascade with a spiking neuron has been previously considered  under the assumption that the input of the Hodgkin-Huxley spiking neuron can be measured in addition to the input and output of the circuit. An alternative method to identify a linear filter given the input to the circuit and the spike time sequence, has been proposed  for Integrate-and-Fire (IAF) neurons. The method was further extended  to nonlinear receptive fields that can be described by a Volterra series.
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