motor_unit_data

Example time series of 2 motor units' discharges for the calculation of
synchronization.

datasets

The temporal relationship between motor neurons can offer
explanations for neural strategies. We combined functions to reduce neuron
action potential discharge data and analyze it for short-term, time-domain
synchronization. Even more so, motoRneuron combines most available methods
for the determining cross correlation histogram peaks and most available
indices for calculating synchronization into simple functions. See
Nordstrom, Fuglevand, and Enoka (1992) <doi:10.1113/jphysiol.1992.sp019244>
for a more thorough introduction.

Andrew Tweedell

motoRneuron

Analyzing Paired Neuron Discharge Times for Time-Domain
Synchronization

Matthew Tenan

motor_unit_data function

Data frame with 30,000 rows and 3 columns<dl class="dl-horizontal">
<dt>Time</dt><dd>time in seconds</dd>
<dt>motor_unit_1</dt><dd>Binary indicator of discharge (1) or not (0)</dd>
<dt>motor_unit_2</dt><dd>Binary indicator of discharge (1) or not (0)</dd>
</dl>

Format

Motor unit time series — motor_unit_data

Data frame with 30,000 rows and 3 columns<dl class='dl-horizontal'>
<dt>Time</dt><dd>time in seconds</dd>
<dt>motor_unit_1</dt><dd>Binary indicator of discharge (1) or not (0)</dd>
<dt>motor_unit_2</dt><dd>Binary indicator of discharge (1) or not (0)</dd>
</dl>

motor_unit_data: Motor unit time series

Description

Usage

Arguments

Format