From edc22742f1be78f4f92fe282909404f1a60e9e64 Mon Sep 17 00:00:00 2001 From: Ethan Blackwood Date: Thu, 24 Jan 2019 10:39:38 -0600 Subject: [PATCH] Add DOI badge and update reference --- README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 88cf760..3312140 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,12 @@ -# Phase Calculator Plugin +# Phase Calculator Plugin [![DOI](https://zenodo.org/badge/134900173.svg)](https://zenodo.org/badge/latestdoi/134900173) A plugin for the [Open Ephys GUI](https://github.com/open-ephys/plugin-GUI) to estimate the phase of inputs within a specified passband in real time. Its primary purpose is to enable closed-loop stimulation, typically in combination with the [Crossing Detector](https://github.com/tne-lab/crossing-detector) and either the Pulse Pal or an external stimulation system that receives ZeroMQ events (for example, the LabVIEW implementation [here](https://github.com/tne-lab/closed-loop-stim)). It can also output the magnitude or imaginary component of the band-limited analytic signal instead of the phase. (The "PH+MAG" mode outputs both phase and magnitude, in separate channels.) Finally, the visualization tab or window can receive TTL events and display the delayed but precise phase of a specified input at the event onset samples in a rose plot. This allows real-time monitoring of stimulation accuracy. -The closed-loop system incorporating this plugin is described in the following article, which should be cited in future publications: +The following article describes the algorithm used by the previous version of this plugin and the closed-loop stimulation pipeline as a whole: -Blackwood, E., Lo, M., Widge, A. S. (2018). Continuous phase estimation for phase-locked neural stimulation using an autoregressive model for signal prediction. 40th International Conference of the IEEE Engineering in Medicine and Biology Society, in press. +Blackwood, E., Lo, M., Widge, A. S. (2018). Continuous phase estimation for phase-locked neural stimulation using an autoregressive model for signal prediction. 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 4736-4739. + +If you are just using the plugin in your project, you can cite this version of the code using the DOI listed in the header of this file.