Compute autocorrelation of single neuron object

This function computes the autocorrelation of a single neuron object using specified parameters. It's a wrapper around the compute_autocorrelation method of the neuron class.

Usage

compute.autocorr(nrn, bin_count_action = "sum", max_lag = 0, use_raw = TRUE)

Arguments

nrn

Neuron object for which to compute autocorrelation.

bin_count_action

Method for counting spikes in each bin when computing autocorrelation; one of "boolean", "mean", or "sum" (default: "sum").

max_lag

Maximum lag (in units of the trial data) to compute autocorrelation; if 0, uses the number of time bins in the neuron's trial data (default: 0).

use_raw

Logical indicating whether to use raw autocorrelation (true) or standard centered and normalized correlation (false) (default: TRUE).

Value

None. Modifies neuron in place.