What’s new in NEST 3.4¶
This page contains a summary of important breaking and non-breaking changes from NEST 3.3 to NEST 3.4. In addition to the release notes on GitHub, this page also contains transition information that helps you to update your simulation scripts when you come from an older version of NEST.
If you transition from a version earlier than 3.3, please see our extensive transition guide from NEST 2.x to 3.0 or release updates for previous releases in 3.x.
Documentation restructuring and new theme¶
NEST documentation has a new theme! We did a major overhaul of the layout and structure of the documentation. The changes aim to improve findability and access of content. With a more modern layout, our wide range of docs can be discovered more easily. The table of contents is simplified and the content is grouped based on topic (neurons, synapses etc) rather than type of documentation (e.g., ‘guides’).
Query spatially structured networks from target neuron perspective¶
PyNEST now provides functions GetSourceNodes()
, GetSourcePositions()
, and
PlotSources()
which allow you to query or plot the source neurons of a given target neuron.
Changes in NEST behavior¶
Inferred extent of spatial layers with freely placed neurons¶
Spatial layers can be created by specifying only the node positions using spatial.free
,
without explicitly specifying the extent
.
In that case, in NEST 3.4 and later, the extent
will be determined by the position of the
lower-leftmost and upper-rightmost nodes in the layer; earlier versions of NEST added a hard-coded
padding to the extent. The center
is computed as the midpoint between the lower-leftmost and
upper-rightmost nodes.
When creating a layer with only a single node, the extent
has to be specified explicitly.
Disconnect with SynapseCollection
¶
It is now possible to disconnect using a SynapseCollection
, which removes only the connections
obtained by calling GetConnections()
. The SynapseCollection
can either be passed to
nest.disconnect()
, or one may call the member function disconnect()
of the SynapseCollection
.
Removal of deprecated models¶
The models iaf_psc_alpha_canon
and pp_pop_psc_delta
have long
been deprecated and were now removed from NEST. In case you depend on
them, you will find similar functionality in the replacement models
iaf_psc_alpha_ps
and gif_pop_psc_exp
, respectively.
Deprecation information¶
Model spike_dilutor
is now deprecated and can only be used in
single-threaded mode. To implement connections which transmit spikes
with fixed probability, use bernoulli_synapse
instead.