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1.1.0 release
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@tbekolay tbekolay released this 30 Nov 17:45
· 96 commits to master since this release
v1.1.0
39805d8

Features

  • Added support for RectifiedLinear and Sigmoid neuron types.
  • Added support for arbitrary Process subclasses. Unlike the processes that are explicitly supported like WhiteSignal, these processes may not fully utilize the OpenCL device.
  • Added support for applying synaptic filters to matrices, which is commonly done when probing connection weights.

Improvements

  • Supports all Nengo versions from 2.1.2 to 2.3.0.
  • The LIF model is now more accurate, and matches the implementation in Nengo (see Nengo#975).
  • Several operators have been optimized and should now run faster.

Bugfixes

  • Fixed compatibility issues with Python 3, and certain versions of NumPy and Nengo.
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