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EEGNet logo

Collaborative EEG platform for advancing neuroscience

EEGNet is an initiative that facilitates national and international collaborative EEG-based neuroscience research.

At the core of EEGNet is the development of a scalable neuroinformatics hub for data sharing and analytics for the investigation of biomarkers of brain disorders.

EEGNet brings scientists and technical experts together in a centralized platform to combine standardized annotated EEG data and analytics for global health applications, by harmonizing data formats and computational tools used across the Canadian scientific community.

Request an account at EEGNet.Loris.ca

You may also wish to request a CBRAIN account to access the EEGNet Analytics Hub and Processing Portal

EEGNet Spring Colloquium 2024

May 23, 2024

Platform Launch Technical Preview

November 28, 2023

EEGNet Virtual Colloquium 2023

May 10, 2023

EEGNet is inviting input from community stakeholders and research partners

Please let us know more about your research context and share your views in these brief surveys:

Infographic showing an eeg

Brain Canada announces $1.84M grant to EEGNet to fuel international collaboration and optimize data sharing for the research community

April 1, 2021

An open platform for national and international EEG-based collaborative neuroscience research

Community-driven EEG tools, workflows and standards will allow earlier detection of abnormalities in developmental and psychiatric disorders, neurodegenerative diseases, and the study of states of consciousness. EEGNet enables Canadian researchers to contribute expertise to both national and international research applications in a scalable open collaboration hub.

EEGNet leverages the existing technologies of the Canadian Open Neuroscience Platform (CONP), built at the Montreal Neurological Institute-Hospital (The Neuro), to share EEG data and tools from coast to coast.

EEGNet is a constituent organization of the Global Brain Consortium (GBC), an international neuroscience collaboration focused on EEG-mediated applications in global health.