pymoose-development-Jayesh 4.1.1

Python scripting interface of MOOSE Simulator (https://moose.ncbs.res.in)

Repo for testing git workflow

This is a repo for testing workflow using git.

This is another test.

This is the third commit entry.

Testing git repo

Dry Run Testing for moose dev

MOOSE

MOOSE is the Multiscale Object-Oriented Simulation Environment. It is designed to simulate neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, circuits, and large networks. MOOSE can operate at many levels of detail, from stochastic chemical computations, to multicompartment single-neuron models, to spiking neuron network models.

MOOSE is multiscale: It can do all these calculations together. For example it handles interactions seamlessly between electrical and chemical signaling. MOOSE is object-oriented. Biological concepts are mapped into classes, and a model is built by creating instances of these classes and connecting them by messages. MOOSE also has classes whose job is to take over difficult computations in a certain domain, and do them fast. There are such solver classes for stochastic and deterministic chemistry, for diffusion, and for multicompartment neuronal models.

MOOSE is a simulation environment, not just a numerical engine: It provides data representations and solvers (of course!), but also a scripting interface with Python, graphical displays with Matplotlib, PyQt, and VPython, and support for many model formats. These include SBML, NeuroML, GENESIS kkit and cell.p formats, HDF5 and NSDF for data writing.

This is the core computational engine of MOOSE simulator. This repository contains C++ codebase and python interface called pymoose. For more details about MOOSE simulator, visit https://moose.ncbs.res.in .

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Installation

See INSTALL.md for instructions on installation.

Have a look at examples, tutorials, and demos here:
https://github.com/BhallaLab/moose-examples.

Build

To build pymoose, follow the instructions given in
INSTALL.md
and for platform-specific information, see:

• Linux: UbuntuBuild.md
• MacOSX: AppleM1Build.md
• Windows: WindowsBuild.md

ABOUT VERSION 4.1.0, Jhangri

Jhangri is an Indian sweet in the shape of a flower. It is made of white-lentil (Vigna mungo) batter, deep-fried in ornamental shape to form the crunchy, golden body, which is then soaked in sugar syrup lightly flavoured with spices.

This release has the following major changes:

1. Improved support for reading NeuroML2 models
2. HHGate2D: separate xminA, xminB, etc. for A and B tables replaced by single xmin, xmax, xdivs, ymin, ymax, and ydivs fields for both tables.
3. Build system switched from cmake to meson
4. Native binaries for Windows
5. Updated to conform to c/c++-17 standard
6. Various bugfixes.

LICENSE

MOOSE is released under GPLv3.