GitHub topics: eeg-erp
4e0n/octopus-reel
"Octopus Realtime Encephalography Lab" is the (hard) real-time networked EEG-lab framework I have developed during my PhD Thesis at Brain Research Lab of Hacettepe University Faculty of Medicine Biophysics Lab. It is meant to be a holistic golden-standard solution for all tasks of cortical source localization/networking, brain-computer interfaces and neuro-feedback applications.
Language: C++ - Size: 1.98 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 3
teanijarv/EEG-pyline
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
Language: Jupyter Notebook - Size: 308 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 28 - Forks: 11
HaiyangJin/N170-all-or-none-Generation
Data Analysis for "All-or-none neural mechanisms underlying visual categorisation: evidence of the N170".
Language: HTML - Size: 458 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
ferreira-santos/ERP_PeakScore
Application to score ERP peak amplitudes and latencies in EEGLAB files
Language: Visual Basic .NET - Size: 2.09 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
4e0n/mycrobe-wasp
(Please see debug branch, it will be merged to master soon) Microcontroller-based batch audio presenter which I have developed during my postdoc in cognitive neuroscience at CerCo/Toulouse. If you construct one and flash it with the software here, this device should serve your realtime audio presentation needs sync'd with an EEG amp, especially if you're very concerned with jitter.
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4e0n/reticap
(Please see debug branch, it will be merged to master soon) In neuroscience research, observing and recording peripheral nerve action potentials has important applications. RETICAP stands for "Real-time Compound Action Potential" (recorder), which has been/is being developed for externally triggered and online-averaged recording of Compound Action Potentials (CAPs). It makes use of an RTAI (http://www.rtai.org/) module depending on DAQ hardware drivers from COMEDI project (http://www.comedi.org/) -a driver customly written only for some Advantech DAQ cards is included-, which provides microsecond-level jitter-. The associated backend daemon and the GUI front-end written in Qt, communicate with the backend for timely acquisition of data sync'd with the triggering of an external stimulator, and other non-realtime features such as averaging and disk-recording, besides the fancy visualization. Depending on a hard real-time loop rather than DMA makes it possible in RETICAP context, to design complex feed-back protocols possibly modified by the features of actual signal being acquired.
Size: 39.1 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1