This resource defines the Hierarchical Event Descriptor (HED) specification, including the core specification with detailed rules about the handling of the vocabulary, tool behavior, and errors. This specification lays out the rules that HED-compliant tools must follow to correctly handle HED annotations. It is meant for tool developers and for users who need to understand the details of the behavior. If you are new to HED, please visit the HED homepage or the HED resources site. This release is the first formal release of the HED specification document. The specification is new with the introduction of HED-3G, hence the version starts with 3.0.0. The current, officially released specification can also be browsed in HTML format. The HE...
Detector description is an essential component in simulation, reconstruction and analysis of data re...
We aim to define an event ontology that allows natural representation of complex spatio-temporal eve...
Health Condition Evolution Ontology (HECON), is a formal model representation of the evolution of me...
This resource defines the Hierarchical Event Descriptor (HED) specification, including the core spec...
Real-world brain imaging by EEG requires accurate annotation of complex subject-environment interact...
Human electrophysiological and related time series data are often acquired in complex, event-rich en...
Event-related data analysis plays a central role in EEG and MEG (MEEG) and other neuroimaging modali...
The hed-validator implements validation of Hierarchical Event Descriptors (HED) for datasets in BIDS...
HED-SCORE is a vocabulary based on the Standardized Computer-based Organized Reporting of EEG (SCORE...
Abstract — Data from well-designed EEG experiments should find uses beyond initial reports, even whe...
This resource defines the Brain Imaging Data Structure (BIDS) specification, including the core spec...
Event detection (ED) aims to detect events from a given text and categorize them into event types. M...
High-level event-based models require the precise notion of events in the model. A formal way of def...
Detector description is an essential component in simulation, reconstruction and analysis of data re...
We aim to define an event ontology that allows natural representation of complex spatio-temporal eve...
Health Condition Evolution Ontology (HECON), is a formal model representation of the evolution of me...
This resource defines the Hierarchical Event Descriptor (HED) specification, including the core spec...
Real-world brain imaging by EEG requires accurate annotation of complex subject-environment interact...
Human electrophysiological and related time series data are often acquired in complex, event-rich en...
Event-related data analysis plays a central role in EEG and MEG (MEEG) and other neuroimaging modali...
The hed-validator implements validation of Hierarchical Event Descriptors (HED) for datasets in BIDS...
HED-SCORE is a vocabulary based on the Standardized Computer-based Organized Reporting of EEG (SCORE...
Abstract — Data from well-designed EEG experiments should find uses beyond initial reports, even whe...
This resource defines the Brain Imaging Data Structure (BIDS) specification, including the core spec...
Event detection (ED) aims to detect events from a given text and categorize them into event types. M...
High-level event-based models require the precise notion of events in the model. A formal way of def...
Detector description is an essential component in simulation, reconstruction and analysis of data re...
We aim to define an event ontology that allows natural representation of complex spatio-temporal eve...
Health Condition Evolution Ontology (HECON), is a formal model representation of the evolution of me...