links

README.md

@@ -1,4 +1,4 @@
-[![GitHub license](https://img.shields.io/github/license/LegrandNico/Cardioception)](https://github.com/LegrandNico/cardioception-toolbox/blob/master/LICENSE) [![GitHub release](https://img.shields.io/github/release/LegrandNico/Cardioception)](https://github.com/LegrandNico/cardioception-toolbox/releases/) [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit) [![pip](https://badge.fury.io/py/cardioception.svg)](https://badge.fury.io/py/cardioception) [![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
+[![GitHub license](https://img.shields.io/github/license/LegrandNico/cardioception-toolbox)](https://github.com/LegrandNico/cardioception-toolbox/blob/master/LICENSE) [![GitHub release](https://img.shields.io/github/release/LegrandNico/cardioception-toolbox)](https://github.com/LegrandNico/cardioception-toolbox/releases/) [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit) [![pip](https://badge.fury.io/py/cardioception.svg)](https://badge.fury.io/py/cardioception) [![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 
 ***
 

docs/source/cite.md

@@ -1,6 +1,6 @@
 # How to cite?
 
-If you are using [Cardioception](https://github.com/LegrandNico/Cardioception) for your research, we ask you to cite the following paper in the final publication:
+If you are using the [cardioception toolbox](https://github.com/LegrandNico/cardioception-toolbox) for your research, we ask you to cite the following paper in the final publication:
 
 * Legrand, N., Nikolova, N., Correa, C., Brændholt, M., Stuckert, A., Kildahl, N., Vejlø, M., Fardo, F., &amp; Allen, M. (2021). The Heart Rate Discrimination Task: A psychophysical method to estimate the accuracy and precision of interoceptive beliefs. Biological Psychology, 108239. <https://doi.org/10.1016/j.biopsycho.2021.108239>
 

docs/source/index.md

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 # Cardioception toolbox
 
-[![GitHub license](https://img.shields.io/github/license/LegrandNico/Cardioception)](https://github.com/LegrandNico/cardioception-toolbox/blob/master/LICENSE) [![GitHub release](https://img.shields.io/github/release/LegrandNico/Cardioception)](https://github.com/LegrandNico/cardioception-toolbox/releases/) [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit) [![pip](https://badge.fury.io/py/cardioception.svg)](https://badge.fury.io/py/cardioception) [![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
+[![GitHub license](https://img.shields.io/github/license/LegrandNico/cardioception-toolbox)](https://github.com/LegrandNico/cardioception-toolbox/blob/master/LICENSE) [![GitHub release](https://img.shields.io/github/release/LegrandNico/cardioception-toolbox)](https://github.com/LegrandNico/cardioception-toolbox/releases/) [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit) [![pip](https://badge.fury.io/py/cardioception.svg)](https://badge.fury.io/py/cardioception) [![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 
 ---
 
@@ -26,7 +26,7 @@ These tasks can run using minimal experimental settings: a computer and a record
 
 If you have questions regarding the tasks, want to report a bug or discuss data analysis, please ask on the public discussion page in this repository.
 
-If you want to report a bug, you can open an issue on the [GitHub page](https://github.com/LegrandNico/Cardioception).
+If you want to report a bug, you can open an issue on the [GitHub page](https://github.com/LegrandNico/cardioception-toolbox).
 
 ## Development
 

docs/source/measuring.md

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 # Measuring cardiac interoception
 
-Cardiac interoception has been largely investigated using the heartbeat counting task (also known as the heartbeat tracking task) that was formally introduced more than 40 years ago {cite:p}`1981:schandry`. This task comes with several variants that can concern task instruction, experimental design or the scores derived to measure cardiac interoceptive accuracy and metacognition. Here, we describe the heartbeat counting task together with the heart rate discrimination task, that was recently proposed {cite:p}`2022:legrand` and is also implemented in [cardioception](https://github.com/LegrandNico/Cardioception).
+Cardiac interoception has been largely investigated using the heartbeat counting task (also known as the heartbeat tracking task) that was formally introduced more than 40 years ago {cite:p}`1981:schandry`. This task comes with several variants that can concern task instruction, experimental design or the scores derived to measure cardiac interoceptive accuracy and metacognition. Here, we describe the heartbeat counting task together with the heart rate discrimination task, that was recently proposed {cite:p}`2022:legrand` and is also implemented in [cardioception](https://github.com/LegrandNico/cardioception-toolbox).
 
 ## The Heart Beat Counting task
 
 In the classic "heartbeat counting task" {cite:p}`1981:schandry,1978:dale` participants attend to their heartbeats in intervals of various lengths and are asked to count the number of heartbeats they can effectively feel during this period. An accuracy score is then derived by comparing the reported number of heartbeats and the true number of heartbeats. In the original version {cite:p}`1981:schandry`, the task started with a resting period of 60 seconds and consisted of three estimation sessions (25, 35, and 45 seconds) interleaved with resting periods of 30 seconds.
 
 ![hbc](https://raw.githubusercontent.com/LegrandNico/cardioception-toolbox/master/docs/source/images/HeartBeatCounting.png)
 
-By default, [Cardioception](https://github.com/LegrandNico/Cardioception) implements the version used in recent publications {cite:p}`2013:hart` in which a training trial of 20 seconds is proposed, after which the 6 experimental trials of different time windows (25, 30, 35,40, 45 and 50s) occurred in a randomized order. The trial length, the condition (`'Rest'`, `'Count'`, `'Training'`), and the randomization can be controlled in the parameters dictionary. This behaviour can be controlled using the `"taskVersion"` parameter.
+By default, [Cardioception](https://github.com/LegrandNico/cardioception-toolbox) implements the version used in recent publications {cite:p}`2013:hart` in which a training trial of 20 seconds is proposed, after which the 6 experimental trials of different time windows (25, 30, 35,40, 45 and 50s) occurred in a randomized order. The trial length, the condition (`'Rest'`, `'Count'`, `'Training'`), and the randomization can be controlled in the parameters dictionary. This behaviour can be controlled using the `"taskVersion"` parameter.
 
 ### Instructions