Version 2.4.3

This release has standardized the modeling of DNN and SNN models by two intercorrelated packages: brainpy.dnn and brainpy.dyn.

Overall, the modeling of brain dynamics in this release has the following advantages:

• the automatic merging of the duplicate synapses, keeping the minimal device memory
• easy model and data parallelization across multiple devices
• easy integration with artificial neural networks
• a new abstraction that decouples dynamics from communication
• the unified DynamicalSystem interface

New Features

1. Support to define ion channel models which rely on multiple ions. For example,

class HH(bp.dyn.CondNeuGroup):
   def __init__(self, size):
      super().__init__(size)
      self.k = bp.dyn.PotassiumFixed(size)
      self.ca = bp.dyn.CalciumFirstOrder(size)

      self.kca = bp.dyn.mix_ions(self.k, self.ca)  # Ion that mixing Potassium and Calcium
      self.kca.add_elem(ahp=bp.dyn.IAHP_De1994v2(size))  # channel that relies on both Potassium and Calcium

2. New style .update() function in brainpy.DynamicalSystem which resolves all compatible issues. Starting from this version, all update() no longer needs to receive a global shared argument such as tdi.

class YourDynSys(bp.DynamicalSystem):
  def update(self, x):
    t = bp.share['t']
    dt = bp.share['dt']
    i = bp.share['i']
    ...

3. Optimize the connection-building process when using brainpy.conn.ScaleFreeBA, brainpy.conn.ScaleFreeBADual, brainpy.conn.PowerLaw

4. New dual exponential model brainpy.dyn.DualExponV2 can be aligned with post dimension.

5. More synaptic projection abstractions, including

   • brainpy.dyn.VanillaProj
   • brainpy.dyn.ProjAlignPostMg1
   • brainpy.dyn.ProjAlignPostMg2
   • brainpy.dyn.ProjAlignPost1
   • brainpy.dyn.ProjAlignPost2
   • brainpy.dyn.ProjAlignPreMg1
   • brainpy.dyn.ProjAlignPreMg2

6. Fix compatible issues, fix unexpected bugs, and improve the model tests.

What's Changed

• [connect] Optimize the connector about ScaleFreeBA, ScaleFreeBADual, PowerLaw by @Routhleck in #412
• [fix] bug of connect.base.py's require function by @Routhleck in #413
• Many Updates by @chaoming0625 in #414
• Update docs by @chaoming0625 in #415
• fix conflict by @yygf123 in #416
• add a new implementation of Dual Exponential Synapse model which can be aligned post. by @chaoming0625 in #417
• Enable test when pull requests by @chaoming0625 in #418
• Add random.seed() by @yygf123 in #419
• Remove windows CI because it always generates strange errors by @chaoming0625 in #420
• Recent updates by @chaoming0625 in #421
• upgrade Runner and Trainer for new style of DynamicalSystem.update() function by @chaoming0625 in #422
• update docs by @chaoming0625 in #424
• fix lif model bugs and support two kinds of spike reset: soft and hard by @chaoming0625 in #423
• rewrite old synapses with decomposed components by @chaoming0625 in #425
• fix autograd bugs by @chaoming0625 in #426

New Contributors

• @yygf123 made their first contribution in #416

Full Changelog: V2.4.2...V2.4.3