Version 2.2.3.2

This release continuously improves the functionality of BrainPy

New features

1. Add brainpy.measure.unitary_LFP() for calculating LFP from neuronal spikes

>>> import brainpy as bp
>>> runner = bp.DSRunner()
>>> runner.run(100)
>>> lfp = bp.measure.unitary_LFP(runner.mon.ts, runner.mon['exc.spike'], 'exc')
>>> lfp += bp.measure.unitary_LFP(runner.mon.ts, runner.mon['inh.spike'], 'inh')

2. Add brainpy.synapses.PoissonInput model

>>> bp.synapse.PoissonInput(target_variable, num_input, freq, weight)

3. Upgrade brainpy connection methods, improving its speeds. New customization of brainpy Connector can be implemented through

class YourConnector(bp.conn.TwoEndConnector):
  def build_csr(self):
     pass

  def build_coo(self):
    pass

  def build_mat(self):
    pass

Improvements

1. Support transformation contexts for JaxArray, and improve the error checking of JaxArray updating in a JIT function.

2. Speedup delay retrieval by reversing delay variable data.

3. Improve the operator customization methods by using Numba functions.

4. Fix bugs in GPU operators in brainpylib.

What's Changed

• Docs: add compile_brainpylib documentation by @ztqakita in #270
• add PoissonInput model and unitary_LFP() method by @chaoming0625 in #271
• organize brainpylib for future extensions by @chaoming0625 in #272
• Update lowdim analyzer by @ztqakita in #273
• speedup connections in One2One, All2All, GridFour, GridEight, and others by @chaoming0625 in #274
• consistent brainpylib with brainpy operators by @chaoming0625 in #275
• Fix test bugs by @chaoming0625 in #276
• Fixed setup mac script by @ztqakita in #278
• JaxArray transformation context by @chaoming0625 in #277
• speedup delay retrieval by reversing delay variable data by @chaoming0625 in #279
• Updating apis for connections and operation registeration by @chaoming0625 in #280

Full Changelog: V2.2.3.1...V2.2.3.2