Development repository of rerps, a Python implementation of
regression-based Event-Related Potential (ERP) waveform estimation (rERP):
Smith, N. J., & Kutas, M. (2015). Regression‐based estimation of ERP waveforms: I. The rERP framework. Psychophysiology, 52(2), pp. 157-168. doi: 10.1111/psyp.12317
Smith, N. J., & Kutas, M. (2015). Regression‐based estimation of ERP waveforms: II. Nonlinear effects, overlap correction, and practical considerations. Psychophysiology, 52(2), pp. 169-181. doi: 10.1111/psyp.12320
See also:
Brouwer, H., Delogu, F., and Crocker, M. W. (2021). Splitting Event-Related Potentials: Modeling Latent Components using Regression-based Waveform Estimation. European Journal of Neuroscience, 53, pp. 974-995. doi: 10.1111/ejn.14961
Clone this repository, download the relevant data files (see examples/)
and decompress them in the relevant data/ folder.
To run the analyses in examples/, you need:
- A recent version of Python 3, with recent versions of:
- NumPy
- pandas
- SciPy
- Matplotlib
- GNU Make (optional)
This repository contains the current implementation of rerps, and the rERP
analyses in examples serve as illustrations of functionality. Examples of
full rERP analyses using earlier, frozen, versions of rerps can be found
here:
hbrouwer/dbc2019rerps implements
the rERP analysis of:
Delogu, F., Brouwer, H., and Crocker, M. W. (2019). Event-related potentials index lexical retrieval (N400) and integration (P600) during language comprehension. Brain and Cognition, 135. doi: 10.1016/j.bandc.2019.05.007
as described in:
Brouwer, H., Delogu, F., and Crocker, M. W. (2021). Splitting Event-Related Potentials: Modeling Latent Components using Regression-based Waveform Estimation. European Journal of Neuroscience, 53, pp. 974-995. doi: 10.1111/ejn.14961
hbrouwer/dbc2021rerps implements
the rERP analysis in:
Delogu, F., Brouwer, H., and Crocker, M. W. (2021). When components collide: Spatiotemporal overlap of the N400 and P600 in language comprehension. Brain Research. doi: 10.1016/j.brainres.2021.147514