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This branch of releases (brainpy==2.4.x) are going to support the large-scale modeling of brain dynamics.

As the start, the first release provides supports for automatic object-oriented (OO) transformations.

What's new?

  1. Automatic OO transformations on longer need to take dyn_vars or child_objs information. These transformations are capable of automatic inferring the underlying dynamical variables. Specifically, they include:

    • brainpy.math.grad and other autograd functionalities
    • brainpy.math.jit
    • brainpy.math.for_loop
    • brainpy.math.while_loop
    • brainpy.math.ifelse
    • brainpy.math.cond
  2. Update documentations