MIEN (Model Interaction Environment for Neuroscience) is a programming project designed to allow researchers to integrate physiological, morphological, and mathematical descriptions of biological systems into unified models. Mien also incorporates tools for evaluation of models and data visualization.

Mien is designed for easy extension using user written blocks, and there are several projects underway to provide useful Mien block sets.

The Mien project is still "alpha" code, but has been under development for several years and is used by the Center for Computational biology for a variety of everyday research tasks.

MIEN can operate as a replacement for anatomical viewers such as cvapp, and can provide fast interactive data visualization for researchers analyzing volumes of numerical data in Python.

In addition, MIEN can convert files between a wide variety of data formats.

MIEN includes tools for optimization, parameter fitting, and distributed network evaluation.

The most common uses for MIEN at the moment are the following:

• As a viewer/editor for anatomical neural data
• As a viewer for time series data
• As a component of an interactive system for developing spike sorting protocols for neural data
• To provide an interface, editor, and file format support for use in integrating physiology and anatomy data into complete realistic compartmental models (these are subsequently simulated using Neuron)
• To implement hybrid neural models, in which abstract math models provide inputs for detailed compartmental models.
• To develop tool chains for the sequential processing of numerical data with mathematical models, and to execute these models on networks or computing clusters.
• To provide views of the information stored in a database.

A more complete list of features is provided in the documentation. Try the overview first. I'm working on a complete feature list.