Release 0.10.0 (#407)

doc/release_notes.rst

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 Release Notes
 =============
 
+Elephant 0.10.0 release notes
+=============================
+
+Documentation
+-------------
+The documentation is revised and restructured by categories (https://github.com/NeuralEnsemble/elephant/pull/386) to simplify navigation on readthedocs and improve user experience. All citations used in Elephant are stored in a single [BibTex file](https://github.com/NeuralEnsemble/elephant/blob/master/doc/bib/elephant.bib).
+
+Optimizations
+-------------
+
+CUDA and OpenCL support
+***********************
+[Analysis of Sequences of Synchronous EvenTs](https://elephant.readthedocs.io/en/latest/reference/asset.html) has become the first module in Elephant that supports CUDA and OpenCL (https://github.com/NeuralEnsemble/elephant/pull/351, https://github.com/NeuralEnsemble/elephant/pull/404, https://github.com/NeuralEnsemble/elephant/pull/399). Whether you have an Nvidia GPU or just run the analysis on a laptop with a built-in Intel graphics card, the speed-up is **X100** and **X1000** compared to a single CPU core. The computations are optimized to a degree that you can analyse and look for spike patterns in real data in several minutes of compute time on a laptop. The installation instructions are described in the [install](https://elephant.readthedocs.io/en/latest/install.html) section.
+
+Other optimizations
+*******************
+* Surrogates: sped up bin shuffling (https://github.com/NeuralEnsemble/elephant/pull/400) and reimplemented the continuous time version (https://github.com/NeuralEnsemble/elephant/pull/397)
+* Improved memory efficiency of creating a BinnedSpikeTrain (https://github.com/NeuralEnsemble/elephant/pull/395)
+
+New functionality and features
+------------------------------
+* Synchrofact detection (https://github.com/NeuralEnsemble/elephant/pull/322) is a method to detect highly synchronous spikes (at the level of sampling rate precision with an option to extend this to jittered synchrony) and annotate or optionally remove them.
+* Added `phase_locking_value`, `mean_phase_vector`, and `phase_difference` functions (https://github.com/NeuralEnsemble/elephant/pull/385/files)
+* BinnedSpikeTrain:
+  - added `to_spike_trains` and `time_slice` functions (https://github.com/NeuralEnsemble/elephant/pull/390). Now you can slice a binned spike train as `bst[:, i:j]` or `bst.time_slice(t_start, t_stop)`. Also, with `to_spike_trains` function, you can generate a realization of spike trains that maps to the same BinnedSpikeTrain object when binned.
+  - optional CSC format (https://github.com/NeuralEnsemble/elephant/pull/402)
+  - the `copy` parameter (False by default) in the `binarize` function makes a *shallow* copy, if set to True, of the output BinnedSpikeTrain object (https://github.com/NeuralEnsemble/elephant/pull/402)
+* Granger causality tutorial notebook (https://github.com/NeuralEnsemble/elephant/pull/393)
+* Unitary Event Analysis support multiple pattern hashes (https://github.com/NeuralEnsemble/elephant/pull/387)
+
+Bug fixes
+---------
+* Account for unidirectional spiketrain->segment links in synchrofact deletion (https://github.com/NeuralEnsemble/elephant/pull/398)
+* Joint-ISI dithering: fixed a bug regarding first ISI bin (https://github.com/NeuralEnsemble/elephant/pull/396)
+* Fix LvR values from being off when units are in seconds (https://github.com/NeuralEnsemble/elephant/pull/389)
+
 
 Elephant 0.9.0 release notes
 ****************************

elephant/VERSION

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-0.9.0
+0.10.0