AnimatLab is an open-source[2] neuromechanical simulation tool that allows authors to easily build and test biomechanical models and the neural networks that control them to produce behaviors.
The neuromechanical simulation tool facilitates the construction and testing of biomechanical models and their associated neural networks for behavior production.
It enables the execution of experiments with diverse stimuli and data recording, serving as an essential resource in computational neuroscience.
Feedback loops between mechanical components, such as joints, body segments, and muscles, are established through adapters to inform the control system.
Both short-term (through facilitation) and long term (Hebbian) learning mechanisms are available, greatly increasing the capability of the nervous systems constructed.
Users can specify separate collision and graphical meshes for a rigid body, greatly reducing simulation time.
In addition to these scalar inputs, contact fields may be specified on rigid bodies, which then provide pressure feedback to the system.
Line graphs are useful for most data types, including neural and synaptic output, as well as body and muscle dynamics.
Both of these can be output as comma separated values files, allowing the user to use other software such as MATLAB or Excel for quantitative analysis.