Package index • neurons

Initialization functions

new.motif(): Initialize network (circuit) motif

new.network(): Initialize neuron network

new.neuron(): Initialize neuron

load.rasters.as.neurons(): Load neuron data from raster file

Neuron method wrappers

fit.edf.autocorr(): Fit exponential decay function to autocorrelation of single neuron object

compute.autocorr(): Compute autocorrelation of single neuron object

estimate.autocorr.params(): Function to estimate autocorrelation parameters using dichotomized Gaussian simulations

process.autocorr(): Function to process autocorrelation of neuron list

plot.raster(): Function to plot spike raster of neuron

plot.autocorrelation(): Function to plot autocorrelation of neuron

Motif method wrappers

load.projection.into.motif(): Load projection into motif

Network method wrappers

set.network.structure(): Set network structure

apply.circuit.motif(): Apply circuit motif to network

plot.network(): Plot network as directed graph

Analysis functions

analyze.autocorr(): Function to analyze autocorrelation estimates with bootstrapping

test.sigma.assumption(): Helper function for testing assumption of autocorrelation processing

Preprocessing functions

import.kilo4(): Import raw kilosort4 data

preprocess.kilo4(): Preprocess kilosort4 data

summarize.cluster.key(): Summarize cluster key by covariates