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@@ -47,7 +47,7 @@ There are many excellent MATLAB and Python based EEG/MEG/NIRS applications (e.g.
Currently NeuroAnalyzer includes functions for importing, editing, processing, visualizing, and analyzing EEG, MEP and EDA data. Preliminary functionality is also available for MEG, NIRS, ECoG, SEEG and iEEG recordings.
Various methods for modeling non-invasive brain stimulation protocols (tDCS/tACS/tRNS/tPCS/TMS/TUS/INS) are also being implemented (NeuroStim submodule). Another submodule, NeuroTester, will allow designing and running psychological studies. Certain neurophysiological data can be recorded using NeuroRecorder submodule.
Various methods for modeling non-invasive brain stimulation protocols (tDCS, tACS, tRNS, tPCS, TMS, TUS, INS) are also being implemented (NeuroStim submodule). Another submodule, NeuroTester, will allow designing and running psychological studies. Certain neurophysiological data can be recorded using NeuroRecorder submodule.
NeuroAnalyzer contains a set of separate (high- and low-level) functions. Some interactive graphical user interface (GUI) functions are also available. NeuroAnalyzer functions can be combined into an analysis pipeline, i.e. a Julia script containing all steps of your analysis. This, combined with processing power of Julia language and easiness of distributing calculations across computing cluster, will make NeuroAnalyzer particularly useful for processing large amounts of neurophysiological data.
