ArticleFrontiers in neuroscience2010
Pyff - a pythonic framework for feedback applications and stimulus presentation in neuroscience.
Article in Frontiers in neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 51 citations in OpenAlex.
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- An open-source human-in-the-loop BCI research framework: method and design.Frontiers in human neuroscience · 2023Article
- SimBSI: An open-source Simulink library for developing closed-loop brain signal interfaces in animals and humans.Biomedical physics & engineering express · 2020Article
- Preparation and execution of voluntary action both contribute to awareness of intention.Proceedings. Biological sciences · 2020Article
- Decoding and Reconstructing the Focus of Spatial Attention from the Topography of Alpha-band Oscillations.Journal of cognitive neuroscience · 2016Article
- The point of no return in vetoing self-initiated movements.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Classification of Eye Fixation Related Potentials for Variable Stimulus Saliency.Frontiers in neuroscience · 2016Article
- Wyrm: A Brain-Computer Interface Toolbox in Python.Neuroinformatics · 2015Article
- Online detection of error-related potentials boosts the performance of mental typewriters.BMC neuroscience · 2012Article
- Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention.Journal of neuroengineering and rehabilitation · 2011Article
- A Novel 9-Class Auditory ERP Paradigm Driving a Predictive Text Entry System.Frontiers in neuroscience · 2011Article
- Tools for Brain-Computer Interaction: A General Concept for a Hybrid BCI.Frontiers in neuroinformatics · 2011Article
- Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper introduces Pyff, the Pythonic feedback framework for feedback applications and stimulus presentation. Pyff provides a platform-independent framework that allows users to develop and run neuroscientific experiments in the programming language Python. Existing solutions have mostly been implemented in C++, which makes for a rather tedious programming task for non-computer-scientists, or in Matlab, which is not well suited for more advanced visual or auditory applications. Pyff was designed to make experimental paradigms (i.e., feedback and stimulus applications) easily programmable. It includes base classes for various types of common feedbacks and stimuli as well as useful libraries for external hardware such as eyetrackers. Pyff is also equipped with a steadily growing set of ready-to-use feedbacks and stimuli. It can be used as a standalone application, for instance providing stimulus presentation in psychophysics experiments, or within a closed loop such as in biofeedback or brain-computer interfacing experiments. Pyff communicates with other systems via a standardized communication protocol and is therefore suitable to be used with any system that may be adapted to send its data in the specified format. Having such a general, open-source framework will help foster a fruitful exchange of experimental paradigms between research groups. In particular, it will decrease the need of reprogramming standard paradigms, ease the reproducibility of published results, and naturally entail some standardization of stimulus presentation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.