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Parametric models have been widely used to estimate conditional intensity functions of neuronal spike train point processes and are efficient to construct from experimental data. Furthermore, parametric models are easy to interpret. However, neurons that have more complex receptive fields may not be sufficiently characterized through parametric modeling since it imposes strict structure on the encoding...
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