Struct SpikeTrain 

pub struct SpikeTrain {
    pub neuron_id: usize,
    pub spike_times: Vec<SimTime>,
    pub max_window: f64,
}

A collection of spikes over time for one neuron

Fields

neuron_id: usize

Neuron ID

spike_times: Vec<SimTime>

Spike times (sorted)

max_window: f64

Maximum time window to keep

Implementations

impl SpikeTrain

pub fn new(neuron_id: usize) -> Self

Create a new empty spike train

pub fn with_window(neuron_id: usize, max_window: f64) -> Self

Create with custom window size

pub fn record_spike(&mut self, time: SimTime)

Record a spike at given time

pub fn clear(&mut self)

Clear all recorded spikes

pub fn count(&self) -> usize

Get number of spikes in the train

pub fn spike_rate(&self, window: f64) -> f64

Compute instantaneous spike rate (spikes/ms)

pub fn mean_isi(&self) -> Option<f64>

Compute inter-spike interval statistics

pub fn cv_isi(&self) -> Option<f64>

Get coefficient of variation of ISI

pub fn to_pattern( &self, start: SimTime, bin_size: f64, num_bins: usize, ) -> Vec<bool>

Convert spike train to binary pattern (temporal encoding)

Safely handles potential overflow in bin calculation.

pub fn cross_correlation( &self, other: &SpikeTrain, max_lag: f64, bin_size: f64, ) -> Vec<f64>

Compute cross-correlation with another spike train

Uses O(n log n) sliding window algorithm instead of O(n²) pairwise comparison. Optimized to skip sorting when spike trains are already sorted (typical case). Uses binary search for initial window position.

Trait Implementations

impl Clone for SpikeTrain

fn clone(&self) -> SpikeTrain

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SpikeTrain

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.