Release Notes¶
Elephant 0.4.1 release notes¶
March 23rd 2017
Other changes¶
- Fix in setup.py to correctly import the current source density module
Elephant 0.4.0 release notes¶
March 22nd 2017
New functions¶
- spike_train_generation module:
- peak detection: peak_detection()
- Modules for Current Source Density: current_source_density_src
- Module Current Source Density: KCSD.py
- Module for Inverse Current Source Density: icsd.py
API changes¶
- Interoperability between Neo 0.5.0 and Elephant
- Elephant has adapted its functions to the changes in Neo 0.5.0, most of the functionality behaves as before
- See Neo documentation for recent changes: http://neo.readthedocs.io/en/latest/whatisnew.html
Other changes¶
- Fixes to travis and setup configuration files.
- Minor bug fixes.
- Added module six for Python 2.7 backwards compatibility
Elephant 0.3.0 release notes¶
April 12st 2016
New functions¶
- spike_train_correlation module:
- cross correlation histogram: cross_correlation_histogram()
- spike_train_generation module:
- single interaction process (SIP): single_interaction_process()
- compound Poisson process (CPP): compound_poisson_process()
- signal_processing module:
- analytic signal: hilbert()
- sta module:
- spike field coherence: spike_field_coherence()
Module to represent kernels: kernels module
Spike train metrics / dissimilarity / synchrony measures: spike_train_dissimilarity module
Unitary Event (UE) analysis: unitary_event_analysis module
Analysis of Sequences of Synchronous EvenTs (ASSET): asset module
API changes¶
- Function instantaneous_rate() now uses kernels as objects defined in the kernels module. The previous implementation of the function using the make_kernel() function is deprecated, but still temporarily available as oldfct_instantaneous_rate().
Other changes¶
- Fixes to travis and readthedocs configuration files.
Elephant 0.2.0 release notes¶
September 22nd 2015
New functions¶
- Added covariance function covariance() in the spike_train_correlation module
- Added complexity pdf complexity_pdf() in the statistics module
- Added spike train extraction from analog signals via threshold detection the in spike_train_generation module
- Added coherence() function for analog signals in the spectral module
- Added Cumulant Based Inference for higher-order of Correlation (CuBIC) in the cubic module for correlation analysis of parallel recorded spike trains
API changes¶
- Optimized kernel bandwidth in rate_estimation function: Calculates the optimized kernel width when the paramter kernel width is specified as auto
Other changes¶
- Optimized creation of sparse matrices: The creation speed of the sparse matrix inside the BinnedSpikeTrain class is optimized
- Added Izhikevich neuron simulator in the make_spike_extraction_test_data module
- Minor improvements to the test and continous integration infrastructure