Seamless intergration with the Cognition Platform API, so you query, annotate and analyze data from your experiments.
Our python library, built on top of MNE, with ML models, signal processing, and visualization tools that will take your research to the next level.
Compatible with SimNIBS that allows for realistic calculations of the electric field induced by the TMS coils in Nexus.
We are standing on the shoulders of giants in the field.
Targeted transcranial electrical stimulation (TES) improves working memory (+30%) in older adults. The authors compare standard to targeted TES protocols, with the latter showing better results.
This has allowed the team to deliver targeted personalized brain stimulation, leading to the conclusion that closed-loop stimulation may provide a therapeutic approach for treating memory dysfunction.
A compact neural network model for classifying different BCI tasks, with good performance both within-subject and cross-subject.
“Working with Insai and their solution has been very easy. We have been using their customized Task Batteries for our own paradigms to generate some very exciting data that we can use for our own EEG research. I look forward to our future collaboration.”
You have questions — We're here to help
Of course! As researchers, we often want to implement our own processing steps. Therefore, we've made the raw data fully accessible.
Our very own Nexus and all devices that can work with lab streaming layer (LSL).
Data security is one of our biggest priorities. All data is anonymized and securely stored in the cloud. Only you will have access to your data.
It's pretty simple, all you need is a web browser and you're set.
Compatible browsers: Google Chrome, Microsoft Edge and Opera.