This documentation is for a development version. Click here for the latest stable release (v1.1.0).
To install NengoSPA, we recommend using
pip install nengo-spa
pip will do its best to install all of Nengo’s requirements when it
installs NengoSPA. However, if anything goes wrong during this process, you
can install NengoSPA’s requirements manually before doing
We also suggest that you install SciPy to obtain the best accuracy in your networks and access to all NengoSPA features. We recommend installing SciPy with the same method that you used to install NumPy. Check the Nengo documentation and SciPy documentation for available installation methods.
Further optional packages¶
Besides optional SciPy package, there are a few more optional packages that are only required for specific purposes.
pip install nengo-spa[docs] # For building docs pip install nengo-spa[tests] # For running the test suite pip install nengo-spa[all] # All of the above, including SciPy
Examples of NengoSPA usage are included in this documentation. Each example has a link to download it as Jupyter notebook at the top of its page.
The recommended way to use NengoSPA is to
import nengo_spa as spa. (Note
that this uses an underscore in the module name and is different from
nengo.spa which refers to the legacy SPA module shipped with core Nengo.)
import nengo import nengo_spa as spa with spa.Network() as model: state = spa.State(16) spa.sym.A >> state
If you are unfamiliar with the Semantic Pointer Architecture, start with the Introduction to the Semantic Pointer Architecture.
If you are new to building SPA models with Nengo, read the Introduction to NengoSPA.
If you have used the legacy SPA module included in core Nengo, read the tutorial on Transitioning to nengo_spa coming from the core Nengo legacy SPA implementation.