Added

• Added a n_neurons property to Network, which gives the number of neurons in the network, including all subnetworks. (#435, #1186)
• Added a new example showing how adjusting ensemble tuning curves can improve function approximation. (#1129)
• Added a minimum magnitude option to UniformHypersphere. (#799)
• Added documentation on RC settings. (#1130)
• Added documentation on improving performance. (#1119, #1130)
• Added LinearFilter.combine method to combine two LinearFilter instances. (#1312)
• Added a method to all neuron types to compute ensemble max_rates and intercepts given gain and bias. (#1334)

Changed

• Learning rules now have a size_in parameter and attribute, allowing both integers and strings to define the dimensionality of the learning rule. This replaces the error_type attribute. (#1307, #1310)
• EnsembleArray.n_neurons now gives the total number of neurons in all ensembles, including those in subnetworks. To get the number of neurons in each ensemble, use EnsembleArray.n_neurons_per_ensemble. (#1186)
• The Nengo modelling API document now has summaries to help navigate the page. (#1304)
• The error raised when a Connection function returns None is now more clear. (#1319)
• We now raise an error when a Connection transform is set to None. (#1326)

Fixed

• Probe cache is now cleared on simulator reset. (#1324)
• Neural gains are now always applied after the synapse model. Previously, this was the case for decoded connections but not neuron-to-neuron connections. (#1330)
• Fixed a crash when a lock cannot be acquired while shrinking the cache. (#1335, #1336)