Annarchy

Latest version: v4.7.3

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4.7.1.2

* Bugfixes:
* Handling of non-uniform delays in connect_with_func
* Added Monitor.reset() to reinitialize monitors. Called automatically by reset().

4.7.1.1

* Changed default compiler flags used by ANNarchy:
* cython modules build during setup.py use only `-O3`
* c++ (model compile) default flags are now: `-O3 -ffast-math -fno-finite-math-only -march=native` (following Brian2 default flags)
* Improved automatic format selection for rate-coded models (experimental, we greatly appreciate bug reports).
* HomogeneousCorrelatedSpikeTrains: `corr` can now be a single value.
* TimedPoissonPopulation: `rates` can now be a single value.

* Bugfixes:
* Monitor: fixed start and stop times.
* CUDA: device configuration (annarchy.json) was ignored.

4.7.1

* Automatic format selection for rate-coded models (experimental, we greatly appreciate bug reports).
* Bugfixes for data structures introduced in 4.7.0.
* Improved code generation, e. g. AVX instructions for default psp of rate-coded models, added dense matrices for spiking models.

4.7.0.2

* Support for Apple M1 processors.
* Bugfix (openMP): the spike generation of SpikeSourceArray was not implemented correctly for multiple threads.

4.7.0.1

* Replaced deprecated numpy.random.random_integers by numpy.random.randint
* Added openMP support for BOLD monitor extension.
* Bugfix: in some cases projection variables were not stored/load correctly (indicated by an error message).

4.7.0

* Added a `bold` monitoring extension allowing to transform neural activity into a BOLD signal according to a computational model (e.g. the Balloon model).
* Added a ``Transpose`` projection.
* Replaced use of random package by numpy.random.
* Calling `clear()` in a notebook is fixed.
* Many improvements under the hood: code refactoring, new data structures (ELLPACK-R, CSRC), speed improvements, etc.

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