Releases: medusabci/medusa-kernel
Releases · medusabci/medusa-kernel
1.3.1
MEDUSA Kernel 1.3 release. Changelog:
Breaking changes:
- Eliminated dependency from PyQt5
**Major changes:**
- Inclusion of bitwise reconstruction methods for c-VEP paradigms
**Minor changes:**
- Improvements in timeplot
- Fixed errors to serialize exceptions in tensorflow_integration module
- Fixed errors in bci.mi_paradigms
1.3.0
MEDUSA Kernel 1.3 release. Changelog:
Breaking changes:
- Eliminated dependency from PyQt5
**Major changes:**
- Inclusion of bitwise reconstruction methods for c-VEP paradigms
**Minor changes:**
- Improvements in timeplot
1.2.5
MEDUSA Kernel 1.2.5 release. Changelog:
Breaking changes:
- Parameter standard in function set_standard_montage from meeg.meeg.EEGChannelSet
- Module plots.topography_plots has been renamed to plots.head_plots
- Tensorflow integration is now a package extra. Install with this command 'pip install medusa-kernel[TF]'
**Major changes:**
- Artifact removing with ICA is now incldued
- Inclusion of a plot to show biosginals with events, conditions, etc compatible with recording app of MEDUSA Platform
- Updates in head_plots
- Improved integration of tensorflow. Tensorflow version has to be <= 2.11 to avoid problems with GPU in Windows
**Minor changes:**
- Error fixing in models of bci.mi_paradigms
- Error fixing in spatial.filetering.CSP
- Minor bugs fixed in connectivity metrics
- Improved compatibility of time plot with recordings from MEDUSA Platform
- The message of TF extras error has been updated
- Improved position of the sliders of the timeplot
- Fixed bug in artifact rejection for cvep spellers
1.2.4
MEDUSA Kernel 1.2.3 release. Changelog:
Breaking changes:
- Parameter standard in function set_standard_montage from meeg.meeg.EEGChannelSet
- Module plots.topography_plots has been renamed to plots.head_plots
- Tensorflow integration is now a package extra. Install with this command 'pip install medusa-kernel[TF]'
**Major changes:**
- Artifact removing with ICA is now incldued
- Inclusion of a plot to show biosginals with events, conditions, etc compatible with recording app of MEDUSA Platform
- Updates in head_plots
- Improved integration of tensorflow. Tensorflow version has to be <= 2.11 to avoid problems with GPU in Windows
**Minor changes:**
- Error fixing in models of bci.mi_paradigms
- Error fixing in spatial.filetering.CSP
- Minor bugs fixed in connectivity metrics
- Improved compatibility of time plot with recordings from MEDUSA Platform
- The message of TF extras error has been updated
- Improved position of the sliders of the timeplot
- Fixed bug in artifact rejection for cvep spellers
1.2.3
MEDUSA Kernel 1.2.3 release. Changelog:
Breaking changes:
- Parameter standard in function set_standard_montage from meeg.meeg.EEGChannelSet
- Module plots.topography_plots has been renamed to plots.head_plots
- Tensorflow integration is now a package extra. Install with this command 'pip install medusa-kernel[TF]'
**Major changes:**
- Artifact removing with ICA is now incldued
- Inclusion of a plot to show biosginals with events, conditions, etc compatible with recording app of MEDUSA Platform
- Updates in head_plots
- Improved integration of tensorflow. Tensorflow version has to be <= 2.11 to avoid problems with GPU in Windows
**Minor changes:**
- Error fixing in models of bci.mi_paradigms
- Error fixing in spatial.filetering.CSP
- Minor bugs fixed in connectivity metrics
- Improved compatibility of time plot with recordings from MEDUSA Platform
- The message of TF extras error has been updated
- Improved position of the sliders of the timeplot
1.2.2
MEDUSA Kernel 1.2.2 release. Changelog:
Breaking changes:
- Parameter standard in function set_standard_montage from meeg.meeg.EEGChannelSet
- Module plots.topography_plots has been renamed to plots.head_plots
- Tensorflow integration is now a package extra. Install with this command 'pip install medusa-kernel[TF]'
**Major changes:**
- Artifact removing with ICA is now incldued
- Inclusion of a plot to show biosginals with events, conditions, etc compatible with recording app of MEDUSA Platform
- Updates in head_plots
- Improved integration of tensorflow. Tensorflow version has to be <= 2.11 to avoid problems with GPU in Windows
**Minor changes:**
- Error fixing in models of bci.mi_paradigms
- Error fixing in spatial.filetering.CSP
- Minor bugs fixed in connectivity metrics
- Improved compatibility of time plot with recordings from MEDUSA Platform
- The message of TF extras error has been updated
1.2.1
MEDUSA Kernel 1.2.1 release. Changelog:
Breaking changes:
- Parameter standard in function set_standard_montage from meeg.meeg.EEGChannelSet
- Module plots.topography_plots has been renamed to plots.head_plots
- Tensorflow integration is now a package extra. Install with this command 'pip install medusa-kernel[TF]'
**Major changes:**
- Artifact removing with ICA is now incldued
- Inclusion of a plot to show biosginals with events, conditions, etc compatible with recording app of MEDUSA Platform
- Updates in head_plots
- Improved integration of tensorflow. Tensorflow version has to be <= 2.11 to avoid problems with GPU in Windows
**Minor changes:**
- Error fixing in models of bci.mi_paradigms
- Error fixing in spatial.filetering.CSP
- Minor bugs fixed in connectivity metrics
- Improved compatibility of time plot with recordings from MEDUSA Platform
1.2.0
MEDUSA Kernel 1.2.0 release. Changelog:
Breaking changes:
- Parameter standard in function set_standard_montage from meeg.meeg.EEGChannelSet
- Module plots.topography_plots has been renamed to plots.head_plots
- Tensorflow integration is now a package extra. Install with this command 'pip install medusa-kernel[TF]'
**Major changes:**
- Artifact removing with ICA is now incldued
- Inclusion of a plot to show biosginals with events, conditions, etc compatible with recording app of MEDUSA Platform
- Updates in head_plots
- Improved integration of tensorflow. Tensorflow version has to be <= 2.11 to avoid problems with GPU in Windows
**Minor changes:**
- Error fixing in models of bci.mi_paradigms
- Error fixing in spatial.filetering.CSP
1.1.3
MEDUSA Kernel 1.1.3 release. Changelog:
Breaking changes:
- The spectral analysis, nonlinear analysis and connectivity analysis functions (both phase and amplitude based) support as input signals with dimensions [n_epochs, n_samples, n_channels].
- Update of Motor Imagery module: Changes in the MIData class.
- Update in Neurofeedback module: Now includes pipelines for real-time functional connectivity calculation.
- Laplacian surface filter update: Improved filter design in automatic mode.
**Major changes:**
- The algorithms of the nonlinear analysis and connectivity analysis functions have been optimized and calculations are now faster.
**Minor changes:**
- Legacy package medusa.bci.remote has been eliminated
- Tensorflow versions fixed to avoid problems: tensorflow==2.11; tensorflow-probability==0.16
1.1.2
MEDUSA Kernel 1.1.2 release. Changelog:
Breaking changes:
- The spectral analysis, nonlinear analysis and connectivity analysis functions (both phase and amplitude based) support as input signals with dimensions [n_epochs, n_samples, n_channels].
- Update of Motor Imagery module: Changes in the MIData class.
- Update in Neurofeedback module: Now includes pipelines for real-time functional connectivity calculation.
- Laplacian surface filter update: Improved filter design in automatic mode.
**Major changes:**
- The algorithms of the nonlinear analysis and connectivity analysis functions have been optimized and calculations are now faster.
**Minor changes:**
- Legacy package medusa.bci.remote has been eliminated