replay_trajectory_classification.likelihoods.spiking_likelihood_kde#

Estimates a Poisson likelihood using place fields estimated with a kernel density estimate.

Functions

`combined_likelihood`
`estimate_place_fields_kde`	Gives the conditional intensity of the neurons' spiking with respect to position.
`estimate_position_density`	Estimates a kernel density estimate over position bins using Euclidean distances.
`estimate_position_distance`	Estimates the Euclidean distance between positions and position bins.
`estimate_spiking_likelihood_kde`
`gaussian_pdf`	Compute the value of a Gaussian probability density function at x with given mean and sigma.
`get_diffusion_firing_rate`
`get_firing_rate`
`poisson_log_likelihood`	Probability of parameters given spiking at a particular time.