Updated README file for jalebi release

Author: hrani

README.md

@@ -1,7 +1,4 @@
-[![Build Status - master](https://travis-ci.org/BhallaLab/moose-core.svg?branch=master)](https://travis-ci.org/BhallaLab/moose-core) | [![PyPI version](https://badge.fury.io/py/pymoose.svg)](https://badge.fury.io/py/pymoose) 
-
-This is the core computational engine of [MOOSE simulator](https://github.com/BhallaLab/moose). This repository contains
-C++ codebase and python interface called `pymoose`. For more details about MOOSE simulator, visit https://moose.ncbs.res.in .
+[![Python package](https://github.com/BhallaLab/moose-core/actions/workflows/pymoose.yml/badge.svg)](https://github.com/BhallaLab/moose-core/actions/workflows/pymoose.yml)
 
 # Installation
 
@@ -18,3 +15,65 @@ Have a look at examples, tutorials and demo here https://github.com/BhallaLab/mo
 # Build 
 
 To build `pymoose`, follow instructions given here at https://github.com/BhallaLab/moose-core/blob/master/INSTALL.md 
+
+
+----------
+# 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](https://github.com/BhallaLab/moose). This repository contains
+C++ codebase and python interface called `pymoose`. For more details about MOOSE simulator, visit https://moose.ncbs.res.in .
+
+# ABOUT VERSION 4.0.0, Jalebi
+
+Jalebi is an Indian sweet involving a golden twisting tube like a hyper-pretzel,
+of crunchy batter soaked in sugar syrup lightly flavoured with spices and
+sometimes lemon.
+
+This release has the following major changes:
+
+1. A major under-the-hood change to numerics for chemical calculations,
+eliminating the use of 'zombie' objects for the solvers. This simplifies
+and cleans up the code and object access, but doesn't alter runtimes.
+
+2. Another major under-the-hood change to use pybind11 as a much cleaner
+way to interface the parser with the C++ numerical code.
+
+3. Addition of a thread-safe and faster parser based on ExprTK
+
+4. Resurrected objects for handling simulation output saving using HDF5
+format. There is an HDFWriter class, an NSDFWriter, and a new NSDFWriter2.
+The latter two implement storage in NSDF, Neuronal Simulation Data Format,
+Ray et al Neuroinformatics 2016. NSDF is built on HDF5 and builds up a
+specification designed to ensure ready replicability as well as self-
+description of model output.
+
+5. Multiple enhancements to rdesigneur, including vastly improved 3-D
+graphics output using VPython.
+
+6. Various bugfixes
+
+# LICENSE
+
+MOOSE is released under GPLv3.
+
+