replay_trajectory_classification.likelihoods.multiunit_likelihood

Estimates a marked point process likelihood where the marks are features of the spike waveform. Features are float32.

Functions

estimate_intensity	Calculates intensity.
estimate_log_intensity	Calculates intensity in log space.
estimate_log_joint_mark_intensity	Finds the joint intensity of the marks and positions in log space.
estimate_multiunit_likelihood	Estimates the likelihood of position bins given multiunit marks.
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.
fit_multiunit_likelihood	Fits the clusterless place field model.
gaussian_pdf	Compute the value of a Gaussian probability density function at x with given mean and sigma.