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Expand Up @@ -26,14 +26,14 @@ morphology of individual neurons. The development of NEST is coordinated by the
NEST Initiative.

A NEST simulation tries to follow the logic of an electrophysiological
experiment that takes place inside a computer with the difference, that the
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.

Expand All @@ -45,21 +45,21 @@ its homepage at https://www.nest-initiative.org.

## Key features of NEST

* NEST provides a Python interface or stand alone application
* NEST provides a Python interface or a stand-alone application
* NEST provides a large collection of neurons and synapse models
* NEST provides numerous example network scripts along with tutorials and guides 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.
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 best use of your multi-core computer and compute clusters with minimal user intervention.
* NEST is ian 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.
* 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


## Documentation

Please visit our [online documentation](https://nest-simulator.readthedocs.io/en/stable/) for details on instaling and using NEST
Please visit our [online documentation](https://nest-simulator.readthedocs.io/en/stable/) for details on installing and using NEST.


## Cite NEST
Expand All @@ -75,12 +75,21 @@ For general citations, please use


If you need help or would like to discuss an idea or issue,
you can find [ways to get in touch here](https://nest-simulator.readthedocs.io/en/stable/community.html)
you can find [ways to get in touch here](https://nest-simulator.readthedocs.io/en/stable/community.html).


## Contribute

NEST is built on an active community and we welcome contributions to our code and documentation.

You can create a [GitHub issue](https://github.com/nest/nest-simulator/issues/new/choose), for bug reports, feature requests, documentation improvements, or other issues.

For working with NEST code and documentation, [see 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/)
You can find a list of NEST [related publications here](https://www.nest-simulator.org/publications/).

## License

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