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Naplib

The library is applicable to both invasive and non-invasive recordings, including electroencephalography (EEG), electrocorticography (ECoG) and magnetoecnephalography (MEG).

List of functions

stimulus: wavefiles containing continuous speech in addition to time-aligned labels of phonemes

preprocessing:

  • EEGExtract2to15.m
  • EcogExtractHighGamma.m
  • CUprocessingHilbertTransform_filterbankGUI.m

Phoneme analysis:

  • findavg.m
  • attribute2phoneme.m
  • phoneme2attribute.m
  • SimMat.m
  • Fratio.m
  • DistDistCov.m
  • Dendro.m
  • DPrime.m
  • MDSPlot.m

GUI

  • OutGenerator.m
  • PhonemeAnalyser.m

Reconstruction:

  • LagGeneratorNew.m
  • StimuliReconstruction.m

Citation

Basic citation:

  • NAPLIB: AN OPEN SOURCE TOOLBOX FOR REAL-TIME AND OFFLINE NEURALACOUSTIC PROCESSING

Matlab:

  • Khalighinejad, Bahar, Guilherme Cruzatto da Silva, and Nima Mesgarani. "Dynamic Encoding of Acoustic Features in Neural Responses to Continuous Speech." Journal of Neuroscience 37.8 (2017): 2176-2185.

PSI vector, selectivity to phonemes:

  • Mesgarani, Nima, et al. "Phonetic feature encoding in human superior temporal gyrus." Science 343.6174 (2014): 1006-1010.

Reconstruction:

  • Mesgarani, Nima, et al. "Influence of context and behavior on stimulus reconstruction from neural activity in primary auditory cortex." Journal of neurophysiology 102.6 (2009): 3329-3339.

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  • MATLAB 70.6%
  • Python 29.4%