I want to fit the nested linear-nonlinear Poisson models to the spike train of a neuron. How can I test the model performance by computing how much the log likelihood increase from a fixed mean firing rate model? i.e., what test can I use to see if the increase was significant? Is it possible to use the one-sided signed rank test? If yes, how?


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.