ANL Frequency-Following Responses
| Authors: | Hari Bharadwaj, Hao Lu, Lenny Varghese | 
|---|---|
| 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. |