Update README on GitHub

README.md

@@ -22,110 +22,81 @@
 
 NEST is a simulator for spiking neural network models that focuses on the
 dynamics, size and structure of neural systems rather than on the exact
-morphology of individual neurons. The development of NEST is coordinated by the
-NEST Initiative. General information on the NEST Initiative can be found at
-its homepage at https://www.nest-initiative.org.
+morphology of individual neurons.
+
+A NEST simulation tries to follow the logic of an electrophysiological
+experiment that takes place inside a computer with the difference that the
+neural system to be investigated must be defined by the experimenter.
 
 NEST is ideal for networks of spiking neurons of any size, for example:
 
-- Models of information processing e.g. in the visual or auditory cortex of
+- Models of information processing, e.g., in the visual or auditory cortex of
   mammals,
-- Models of network activity dynamics, e.g. laminar cortical networks or
+- Models of network activity dynamics, e.g., laminar cortical networks or
   balanced random networks,
 - Models of learning and plasticity.
 
-For copyright information please refer to the `LICENSE` file and to the
-information header in the source files.
+## Key features of NEST
 
-## How do I use NEST?
+* NEST provides a Python interface or a stand-alone application
+* NEST provides a large collection of [neurons and synapse models](https://nest-simulator.org/documentation/models/index.html)
+* NEST provides numerous [example network scripts](https://nest-simulator.org/documentation/examples/index.html) along with
+  [tutorials and guides](https://nest-simulator.org/documentation/get-started_index.html) to help you develop your simulation
+* NEST has a large community of experienced developers and users; NEST was first released in 1994 under the name SYNOD, and has been extended and improved ever since
+* NEST is extensible: you can extend NEST by adding your own modules
+* NEST is scalable: Use NEST on your laptop or the largest supercomputers
+* NEST is memory efficient: It makes the best use of your multi-core computer and compute clusters with minimal user intervention
+* NEST is an open source project and is licensed under the GNU General Public License v2 or later
+* NEST employs continuous integration workflows in order to maintain high code quality standards for correct and reproducible simulations
 
-You can use NEST either via Python (PyNEST) or as a stand-alone application
-(nest). PyNEST provides a set of commands to the Python interpreter which give
-you access to NEST's simulation kernel. With these commands, you describe and
-run your network simulation. You can also complement PyNEST with PyNN, a
-simulator-independent set of Python commands to formulate and run neural
-simulations. While you define your simulations in Python, the actual simulation
-is executed within NEST's highly optimized simulation kernel which is written
-in C++.
 
-A NEST simulation tries to follow the logic of an electrophysiological
-experiment that takes place inside a computer with the difference, that the
-neural system to be investigated must be defined by the experimenter.
+## Documentation
 
-The neural system is defined by a possibly large number of neurons and their
-connections. In a NEST network, different neuron and synapse models can
-coexist. Any two neurons can have multiple connections with different
-properties. Thus, the connectivity can in general not be described by a weight
-or connectivity matrix but rather as an adjacency list.
-
-To manipulate or observe the network dynamics, the experimenter can define
-so-called devices which represent the various instruments (for measuring and
-stimulation) found in an experiment. These devices write their data either to
-memory or to file.
-
-NEST is extensible and new models for neurons, synapses, and devices can be
-added.
-
-To get started with NEST, please see the [Documentation Page for
-Tutorials](https://www.nest-simulator.org/documentation/).
-
-## Why should I use NEST?
-
-To learn more about the capabilities of NEST, please read the complete [feature
-summary](https://www.nest-simulator.org/features/).
-
-- NEST provides over 50 neuron models many of which have been published. Choose
-  from simple integrate-and-fire neurons with current or conductance based
-  synapses, over the Izhikevich or AdEx models, to Hodgkin-Huxley models.
-- NEST provides over 10 synapse models, including short-term plasticity
-  (Tsodyks & Markram) and different variants of spike-timing dependent
-  plasticity (STDP).
-- NEST provides many examples that help you getting started with your own
-  simulation project.
-- NEST offers convenient and efficient commands to define and connect large
-  networks, ranging from algorithmically determined connections to data-driven
-  connectivity.
-- NEST lets you inspect and modify the state of each neuron and each connection
-  at any time during a simulation.
-- NEST is fast and memory efficient. It makes best use of your multi-core
-  computer and compute clusters with minimal user intervention.
-- NEST runs on a wide range of UNIX-like systems, from MacBooks to
-  supercomputers.
-- NEST has minimal dependencies. All it really needs is a C++ compiler.
-  Everything else is optional.
-- NEST developers are using agile continuous integration-based workflows in
-  order to maintain high code quality standards for correct and reproducible
-  simulations.
-- NEST has one of the largest and most experienced developer communities of all
-  neural simulators. NEST was first released in 1994 under the name SYNOD and
-  has been extended and improved ever since.
+Please visit our [online documentation](https://nest-simulator.org/documentation) for details on installing and using NEST.
 
-## License
 
-NEST is open source software and is licensed under the [GNU General Public
-License v2](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html) or
-later.
+## Cite NEST
+
+If you use NEST as part of your research, please cite the *version* of NEST you used.
+The full citation for each release can be found on [Zenodo](https://zenodo.org/search?q=title%3ANEST%20AND%20-description%3Agraphical%20AND%20simulator&l=list&p=1&s=10&sort=publication-desc)
+
+For general citations, please use
+
+`Gewaltig M-O & Diesmann M (2007) NEST (Neural Simulation Tool) Scholarpedia 2(4):1430.`
+
+## Contact
 
-## Installing NEST
 
-Please see the online [NEST Installation Instructions](http://www.nest-simulator.org/installation)
-to find out how to install NEST.
+If you need help or would like to discuss an idea or issue,
+join our [maling list](https://nest-simulator.org/documenation/developer_space/guidelines/mailing_list_guidelines.html),
+where we encourage active participation from our developers and users to share their knowledge and experience with NEST.
 
-## Getting help
 
-- You can run the `help` command in the NEST interpreter to find documentation
-  and learn more about available commands.
-- For queries regarding NEST usage, please use the [NEST users mailing
-  list](https://www.nest-initiative.org/mailinglist/).
-- Information on the Python bindings to NEST can be found in
-  `${prefix}/share/doc/nest/README.md`.
-- For those looking to extend NEST, developer documentation on [Contributing to
-  NEST](https://nest-simulator.readthedocs.io/en/latest/contribute/index.html) is available.
+You can find other [ways to get in touch here](https://nest-simulator.readthedocs.io/en/stable/community.html).
 
-## Citing NEST
 
-Please cite NEST if you use it in your work.
+## Contribute
 
-- You can find all the information for [citing NEST here](https://nest-simulator.readthedocs.io/en/latest/citing-nest.html)
+NEST is built on an active community and we welcome contributions to our code and documentation.
 
 
+For bug reports, feature requests, documentation improvements, or other issues,
+you can create a [GitHub issue](https://github.com/nest/nest-simulator/issues/new/choose),
+
+For working with NEST code and documentation, you can find guidelines for contributions
+[in our documentation](https://nest-simulator.readthedocs.io/en/stable/developer_space/index.html#contribute-to-nest)
+
+
+## Publications
+
+You can find a list of NEST [related publications here](https://www.nest-simulator.org/publications/).
+
+## License
+
+
+NEST is open source software and is licensed under the [GNU General Public
+License v2](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html) or
+later.
+
+General information on the NEST Initiative can be found at
+its homepage at https://www.nest-initiative.org.