New features since 1.3.1
------------------------
Major features:

Minor features:

Improvements:

Bug fixes:

New features since 1.3.0
------------------------

Major features:

Minor features:

* New PoissonInput class
* New auditory model: TanCarney (brian.hears)
* Many more examples from papers
* New electrode compensation module (in library.electrophysiology)
* New trace analysis module (in library.electrophysiology)
* Added new brian.tools.taskfarm.run_tasks function to use multiple CPUs to
  perform multiple runs of a simulation and save results to a DataManager,
  with an optional GUI interface.
* Added FractionalDelay filterbank to brian.hears, fractional itds to
  HeadlessDatabase and fractional shifts to Sound.shifted.
* Added vowel function to brian.hears for creating artificial vowel sounds
* New spike_triggered_average function
* Added maxlevel and atmaxlevel to Sound
* New IRNS/IRNO noise functions

Improvements:

* SpikeGeneratorGroup is much faster.
* Added RemoteControlClient.set(var, name) to allow sending data to the server
  from the client (previously you could only receive data from the server but
  not send it, except in string form).
* Monitors do not process empty spike arrays when there have not been any 
  spikes, increases speed for monitored networks with sparse firing (#78) 
* Various speed optimisations

Bug fixes:

* Fixed bug with frozen equations and time variable in equations
* Fixed bug with loading sounds using Sound('filename.wav')
* SpikeMonitor now clears spiketimes correctly on reinit (#75)
* MultiConnection now propagates reinit (important for monitors) (#76)
* Fixed bug in realtime plotting
* Fixed various bugs in Sound
* Fixed bugs in STDP
* Bow propagates spikes only if spikes exist (#78)

New features since 1.2.1
------------------------

Major features:

* Added Brian.hears auditory library

Minor features:

* Added new brian.tools.datamanager.DataManager, moved from brian.experimental
* reinit(states=False) will now not reset NeuronGroup state variables to 0.
* modelfitting now has support for refractoriness
* New examples in misc: after_potential, non_reliability, reliability,
  van_rossum_metric, remotecontrolserver, remotecontrolclient
* New experimental.neuromorphic package
* Van Rossum metric added

Improvements:

* SpikeGeneratorGroup is faster for large number of events ("gather" option).
* Speed improvement for pure Python version of sparse matrix preparation
* Speed improvements for spike propagation weave code (50-100% faster).
* Clocks have been changed and should now behave more predictably. In addition,
  you can now specify an order attribute for clocks.
* modelfitting is now based on playdoh 0.3
* modelfitting can now use euler/exp.euler or RK2 integration schemes
* Loading AER data is much faster
* Freezing now uses higher precision (used to only use 12sf now uses 17sf)

Bug fixes:

* Bug in STDP with small values for wmin/wmax fixed (ticket #63)
* Equations/aliases now work correctly in STDP (ticket #56)
* Bug in sparse matrices introduced in scipy 0.8.0 fixed
* Bug in TimedArray when dt keyword is used now fixed (thanks to Adrien
  Wohrer for pointing out the bug).
* Units now work correctly in STDP (ticket #60)
* STDP raises an error if operations are reordered (ticket #57)
* linked_var works with static vars (equations) (ticket #68)
* Changing clock.t during a run won't end the run
* Fixed ticket #66 (unit bug)
* Fixed ticket #64 (bug with freeze)
* Can now run a network with no group
* Exception handling now works properly for C version of circiular spike
  container
* ccircular now builds correctly on linux and 64 bit

Internal changes:

* brian.connection deprecated and replaced by subpackage brian.connections,
  making the code structure much more straightforward and setting up for future
  work on code generation, etc.

New features since 1.2.0
------------------------

Major features:

* New remote controlling of running Brian scripts via RemoteControlServer
  and RemoteControlClient.
  
Minor features:

* New module tools.io
* weight and sparseness can now both be functions in connect_random
* New StateHistogramMonitor object
* clear now has a new keyword all which allows you to destroy all Brian
  objects regardless of whether or not they would be found by MagicNetwork.
  In addition, garbage collection is called after a clear.
* New method StateMonitor.insert_spikes to have spikes on voltage traces.

Improvements

* The sparseness keyword in connect_random can be a function
* Added 'wmin' to STDP
* You can now access STDP internal variables, e.g. stdp.A_pre, and monitor
  them by doing e.g. StateMonitor(stdp.pre_group, 'A_pre')
* STDP now supports nonlinear equations and parameters
* refractory can now be a vector (see docstring for NeuronGroup) for constant
  resets.
* modelfitting now uses playdoh library
* C++ compiled code is now much faster thanks to adding -ffast-math switch to
  gcc, and there is an option which allows you to set your own
  compiler switches, for example -march=native on gcc 4.2+.
* SpikeGeneratorGroup now has a spiketimes attribute to reset the list of
  spike times.
* StateMonitor now caches values in an array, improving speed for M[i] operation
  and resolving ticket #53
* clear() now does a garbage collection after clearing, making memory buildups
  less likely on repeated runs

Bug fixes

* Sparse matrices with some versions of scipy
* Weave now works on 64 bit platforms with 64 bit Python
* Fixed bug introduced in 1.2.0 where dense DelayConnection structures would
  not propagate any spikes
* Fixed bug where connect* functions on DelayConnection didn't work with
  subgroups but only with the whole group.
* Fixed bug with linked_var from subgroups not working
* Fixed bug with adding Equations objects together using a shared base equation
  (ticket #9 on the trac)
* unit_checking=False now works (didn't do anything before)
* Fixed bug with using Equations object twice (for two different NeuronGroups)
* Fixed unit checking bug and ZeroDivisionError (ticket #38)
* Fixed rare problems with spikes being lost due to wrong size of SpikeContainer,
  it now dynamically adapts to the number of spikes.
* Fixed ticket #5, ionic_currents did not work with units off
* Fixed ticket #6, Current+MembraneEquation now works
* Fixed bug in modelfitting : the fitness was not computed right with CPUs.
* Fixed bug in modelfitting with random seeds on Unix systems. 
* brian.hears.filtering now works correctly on 64 bit systems

Removed features

* Model has now been removed from Brian (it was deprecated in 1.1).
  
New features since 1.1.3
------------------------

Major features:

* Model fitting toolbox (library.modelfitting)

Minor features:

* New real-time ``refresh=`` options added to plotting functions
* Gamma factor in tools.statistics
* New RegularClock object
* Added brian_sample_run function to test installation in place of nose tests

Improvements:

* Speed improvements to monitors and plotting functions
* Sparse matrix support improved, should work with scipy versions up to 0.7.1
* Various improvements to brian.hears (still experimental though)
* Parameters now picklable
* Made Equations picklable

Bug fixes:

* Fixed major bug with subgroups and connections (announced on webpage)
* Fixed major bug with multiple clocks (announced on webpage)
* No warnings with Python 2.6
* Minor bugfix to TimedArray caused by floating point comparisons
* Bugfix: refractory neurons could fire in very extreme circumstances
* Fixed bug with DelayConnection not setting max_delay
* Fixed bug with STP
* Fixed bug with weight=lambda i,j:rand()

New examples:

* New multiprocessing examples
* Added polychronisation example
* Added modelfitting examples
* Added examples of TimedArray and linked_var
* Added examples of using derived classes with Brian
* Realtime plotting example

New features since 1.1.2
------------------------

* STDP now works with DelayConnection
* Added EventClock
* Added RecentStateMonitor
* Added colormap option to StateMonitor.plot
* Added timed array module, see TimedArray class for details.
* Added optional progress reporting to run()
* New recall() function (converse to forget())
* Added progress reporting module (brian.utils.progressreporting)
* Added SpikeMonitor.spiketimes
* Added developer's guide to docs
* Early version of brian.hears subpackage for auditory modelling
* Various bug fixes

New features since 1.1.1
------------------------

* Standard functions rand() and randn() can now be used in string resets.
* New forget() function.
* Major bugfix for STP

New features since 1.1.0
------------------------

* New statistical function: vector_strength
* Bugfix for one line string thresholds/resets

New features since 1.0.0
------------------------

* clear() function added for ipython users
* New DelayConnection for heterogeneous delays
* Short-term plasticity (Tsodyks-Markram model)
* Simplified initialisation of Connection objects
* Optional unit checking in NeuronGroup
* STDP
* New code for Connections, including new 'dynamic' connection matrix type
* Reset and threshold can be specified with strings (Python expressions)
* Spike train statistics (utils.statistics)
* Miscellaneous optimisations
* New MultiStateMonitor class
* New Group, MultiGroup objects (for convenience of people writing extensions mostly)
* Improved contained_objects protocol with ObjectContainer class in brian.base

New features since 1.0.0 rc5
----------------------------

* 2nd order Runge-Kutta method (use order=2)
* Quantity arrays are disabled (units only for scalars)
* brian_global_config added
* UserComputedConnectionMatrix and UserComputedSparseConnectionMatrix
* SimpleCustomRefractoriness, CustomRefractoriness

New features since 1.0.0 rc4
----------------------------

* Bugfix of sparse matrix problems
* Compiled version of spike propagation (much faster for
  networks with lots of spikes)
* Assorted small improvements

New features since 1.0.0 rc3
----------------------------

* Added StateSpikeMonitor
* Changed QuantityArray behaviour to work better with numpy, scipy and pylab

New features since 1.0.0 rc2
----------------------------

* Small bugfixes

New features since 1.0.0 rc1
----------------------------

* Documentation system now much better, using Sphinx, includes
  cross references, index, etc.
* Added VariableReset
* Added run_all_tests()
* numpywrappers module added, but not in global namespace
* Quantity comparison to zero doesn't check units (positivity/negativity)

New features since 1.0.0 beta 
-----------------------------

* Connection: connect_full allows a functional weight argument (like connect_random)
** Short-term plasticity **
  In Connection: 'modulation' argument allows modulating weights by a state
  variable from the source group (see examples).
* HomogeneousCorrelatedSpikeTrains: input spike trains with exponential correlations.
* Network.stop(): stops the simulation (can be called by a user script)
* PopulationRateMonitor: smooth_rate method
* Optimisation of Euler code: use compile=True when initialising NeuronGroup
* More examples
* Pickling now works (saving and loading states)
* dot(a,b) now works correctly with qarray's with homogeneous units
* Parallel simulations using Parallel Python (independent simulations only)
* Example of html inferfaces to Brian scripts using CherryPy
* Time dependence in equations (see phase_locking example)
* SpikeCounter and PopulationSpikeCounter