ANL Frequency-Following Responses
Authors: | Hari Bharadwaj, Hao Lu, Lenny Varghese |
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Updated: | Sun 04 April 2021 |
Source: | https://github.com/SNAPsoftware/ANLffr |
Type: | Github repository, Python |
Languages: | N/A |
Keywords: | audition, frequency, Python, phase-locking, EEG |
Open Access: | yes |
License: | BSD-licenced |
Documentation: | https://github.com/SNAPsoftware/ANLffr/blob/master/doc/source/intro.rst |
Publications: | Bharadwaj, H.M. (2021). Software tools for electrophysiology, spectral, and time-frequency analyses from the Systems Neuroscience of Auditory Perception Lab (v0.3.0a1). Zenodo. https://doi.org/10.5281/zenodo.4662143 |
Citation: | Bharadwaj, H., Lu, H., Varghese, L. (2013). ANLffr. Purdue University: Systems Neuroscience of Auditory Perception Lab. https://github.com/SNAPsoftware/ANLffr |
Summary: | From the Systems Neuroscience of Auditory Perception lab at Purdue University, a set of tools to analyze and interpret auditory steady-state responses, particularly the subcortical kind commonly known as frequency-following responses (FFRs). In particular, the package provides code for multitaper-analysis of spectra and phase locking along with complex-principal component analysis of phase-locking for multichannel FFRs. Although originally created to analyze steady-state electrophysiological responses, the generality of the spectral analysis and time-frequency analysis function allow them to be applied widely. |