
frog research

human research
We study how muscle properties affect our ability to move rapidly and accurately. We are motivated by: a) curiosity about the mechanical basis for behaviour, b) methods development for new ways of thinking and c) supporting human heath towards healthy ageing.
Explore some recent open-access work about muscle properties and sensorimotor control of human reaching.


We made a mathematical model to simulate rate-coded control of multiple motor units.
How does the nervous system control muscles? Muscles have two primary features for neural control: 1) Division into multiple motor units, which are groups of fibres with shared properties, and 2) Rate-coded excitation in which the muscle is activated with repeated spikes from motor neurones. Both of these features are traditionally neglected in standard muscle models. We created a mathematical framework for modelling a force-control task by controlling instantaneous firing rates and motor unit recruitment.

We created a visualisation of muscle force-velocity properties at the joint level.
A salient feature of muscle behaviour is the Force-Velocity relationship (FV), meaning that muscles become weaker (less force) at higher speeds. When muscle forces combine to move a joint, the FV properties of the individual muscles add. We created a way to visualise a joint-level FV relationship in musculoskeletal simulations. We found that this visualisation helps us understand the complex mechanics of human reaching. We also found that co-contracting muscles (e.g. biceps and triceps acting in opposition) help the arm resist mechanical disturbances.

We created a computer simulation of an elbow joint and “aged” the simulation by altering the muscle speed, strength and stiffness properties.
In this section we’ll be posting spotlights, commentaries and deep dives on selected topics within our work.