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1. PSYCHOPY BLOCK DESIGN HOW TO
2. PSYCHOPY BLOCK DESIGN INSTALL
3. PSYCHOPY BLOCK DESIGN FULL
4. PSYCHOPY BLOCK DESIGN CODE
5. PSYCHOPY BLOCK DESIGN TRIAL

Downside: you have to manually assign this attribute to the DataFrame after most operations with the DataFrame. Moreover, the information about splitting of data into rows and cols is now kept separately in the ``_splits`` variable so that the names of rows and columns are not messed up anymore.

PSYCHOPY BLOCK DESIGN CODE

So the resulting code should be more robust now. * IMPROVED: Rewrote plot and stats modules to better integrate with pandas' desire to reduce DataFrames into Series whenever possible. * FIXED: Minor bug fixes related to the installation, subplots, and MouseResp parameters. If you provide, the timing of that event will be recorded.

PSYCHOPY BLOCK DESIGN TRIAL

Events (in the trial structure creation) now have a keyword "name". * NEW: ``utils``: a collection of convenience functions * NEW: ``mturkexp``: Experimental and very simple wrapper to ``mturkutils`` (moved to ``mturkutils`` as of 0.6.0.2). There are now only a couple of functions left in ``plot`` that extend the functionality of ``seaborn``. * DEPRECATED: ``plot`` is now deprecated in favor os ``seaborn`` that does everything ``plot`` was always aiming to do, but much better. * NEW: Many bootstrap methods added to ``stats``. Make your data categorical in pandas and use cat.reorder_categories(). **However**, this changes the way ``stats.aggregate`` and ``stats.accuracy`` work **you will need to change your code** to have it work with this new version or, better yet, not use these functions and rely on ``oupby``. * CHANGED: New pandas versions added support for categorical data and broke ordering. * NEW: Many models added to ``models``, including a convenient interface to Caffe for deep neural models. This is a major release of `psychopy_ext`, containing a number of new features and also API changes that break the behavior of earlier releases. Included external packages and functions (covered by a compatible license):Ĭombinations, combinations_with_replacement, OrderedDict, HMAX, GaborJet

`GNU General Public License v3 or later `_ McGovern Institute for Brain Research, MIT (USA)

PSYCHOPY BLOCK DESIGN INSTALL

* `h5py `_ (install with ``pip install h5py``) * `NiBabel `_ (install with ``pip install nibabel``) * `PyMVPA 2.3.1+ `_ (`Windows version for Python 2.7 here `_) * `matlab_wrapper `_ (for accessing MATLAB) * `seaborn 0.7+ `_ (pretty plots not really mandatory but required for the benefit of your eyes) * `svgwrite `_ (used to export stimuli to SVG format) * `docutils `_ (will allow rendering docstrings on screen by the ``exp`` class) Force metadata by turning ``exp_plan`` into a class

PSYCHOPY BLOCK DESIGN FULL

Generate full papers via `Open Science Paper `_ Full fMRI preprocessing support (maybe) ``info`` and ``rp`` should become classes with tips, lists etc Automatic summary of typical commands for CLI README generation with the most common commands ``stats`` and ``plots`` work well many functions are undocumented. I no longer actively use ``fmri`` module so it is no longer guaranteed to work. **psychopy_ext** is currently stable, meaning that I use it myself daily When done with the demo, inspect **main.py** file to see how it works,Īnd build your experiment using this template, or try more demos. When done, choose the analysis tab, and click on **run** to see how well you did. In a file browser, navigate to the demos folder When done, choose the analysis tab and click on **run** to see how well you did. In coder view, open **run.py** file from the demos folder Type ``python run.py main analysis run`` to see how well you did. In a terminal, navigate to the demos folder Copy them to your home folder or another location of your choice (but where you have write permission). Built-in simple models of vision (Pixel-wise difference, GaborJet, and HMAX'99)įirst, find demo files in ``site-packages`` (`where is it? `_). Custom needs? Inherit & customize: everything is a class!

Automatic GUI and command-line interpreter Automatic running (unit testing) of experiments Templates for building and analyzing experiments (behavioral & fMRI) Unlike **PsychoPy**, **PyMVPA** or **matplotlib** that are very flexible and support multiple options to suit everyone's needs, the underlying philosophy of **psychopy_ext** is to act as the glue at a higher level of operation by choosing reasonable defaults for these packages and providing patterns for common tasks with a minimal user intervention. **psychopy_ext** is a framework for a rapid design, analysis and plotting of experiments in neuroscience and psychology.

PSYCHOPY BLOCK DESIGN HOW TO

Please refer to the `online documentation `_įor a more in depth explanation how to use the package.