{"creation_time": 1588740935421, "last_updated": 1588740935421, "name": "P300 BCI", "definition_text": "P300-based brain-computer interface is a BCI paradigm relying on the online classification of event-related potentials. The user is required to attend specific target stimuli that are considered important and to ignore other, more frequent stimuli. The target stimuli elicit large P300 response that can easily be classified from epoched EEG. P300 BCI can rely almost on any type of stimuli, that are capable to evoke discernable ERPs - visual, tactile, auditory, etc. P300 BCI paradigm can be adopted for the gamification of ERP studies, as well as for communication in disabled patients.", "id": "tsk_GxjZBNiJorj1K", "type": "task", "conditions": [{"creation_time": 1588743270360, "last_updated": 1588743270360, "name": "Nontarget stimuli", "id": "con_3kpoLDjdx7gIz"}, {"creation_time": 1588743256478, "last_updated": 1588743256478, "name": "Target stimuli", "id": "con_18Cl7X96yowMA"}], "concepts": [{"creation_time": 1512660626943, "last_updated": 1512660626943, "def_event_stamp": "2012-06-27T18:23:07", "id_user": "usr_0000000000", "id_concept_class": "ctp_C2", "event_stamp": "2009-06-22T19:12:54", "def_id_user": "usr_4f177506dde77", "def_id": "def_4feb4f8be22b7", "name": "attention", "alias": "", "definition_text": "used to describe any number of cognitive processes, organized as top-down or bottom-up, goal-directed or stimulus-driven, and more, but generally reflecting an interplay between cognitive and sensory systems.", "contrasts": [{"creation_time": 1588743338867, "last_updated": 1588743338867, "name": "ERP latency", "id": "cnt_syKNTkzSXtMa9"}, {"creation_time": 1588743314970, "last_updated": 1588743314970, "name": "ERP amplitude", "id": "cnt_TolNDCLXnVqI9"}], "concept_id": "trm_4a3fd79d09902"}, {"creation_time": 1512660628265, "last_updated": 1512660628265, "def_event_stamp": "2012-06-21T22:59:28", "id_user": "usr_0000000000", "id_concept_class": "ctp_C4", "event_stamp": "2009-06-22T19:12:55", "def_id_user": "usr_4f177506dde77", "def_id": "def_4fe3a7500bb25", "name": "cognitive load", "alias": "cognitive effort, processing capacity", "definition_text": "The amount of demand placed on working memory, typically expressed along some continuum and within a theoretical maximum.", "contrasts": [{"creation_time": 1588743314970, "last_updated": 1588743314970, "name": "ERP amplitude", "id": "cnt_TolNDCLXnVqI9"}], "concept_id": "trm_4a3fd79d09d64"}], "indicators": [], "external_datasets": [{"creation_time": 1588742121707, "last_updated": 1588742121707, "dataset_uri": "https://www.kaggle.com/c/inria-bci-challenge", "name": "BCI Challenge @ NER 2015", "id": "dst_JW2lkQ0KuWu1Y", "dataset_name": "BCI Challenge @ NER 2015", "relationship": "HASEXTERNALDATASET"}, {"creation_time": 1588742064670, "last_updated": 1588742064670, "dataset_uri": "http://www.bbci.de/competition/iii/#data_set_ii", "name": "Wadsworth BCI Dataset (P300 Evoked Potentials)  - BCI competition III", "id": "dst_PLPSlnb5tVfM2", "dataset_name": "Wadsworth BCI Dataset (P300 Evoked Potentials)  - BCI competition III", "relationship": "HASEXTERNALDATASET"}], "implementations": [{"creation_time": 1588743571094, "implementation_name": "OpenVibe", "last_updated": 1588743571094, "implementation_description": "OpenViBE is a software platform dedicated to designing, testing and using brain-computer interfaces.  OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time. Since v2.2.0, OpenViBE also includes a tool for offline or batch analysis of large datasets.  OpenViBE is free and open source software. It works on Windows and Linux operating systems.", "name": "OpenVibe", "id": "imp_ZU9wYEtGrx0WT", "implementation_uri": "http://openvibe.inria.fr/", "relationship": "HASIMPLEMENTATION"}, {"creation_time": 1588743469082, "implementation_name": "BCI2000", "last_updated": 1588743469082, "implementation_description": "Software suite for brain-computer interface research.", "name": "BCI2000", "id": "imp_8iUN7P0xRJ8a9", "implementation_uri": "https://www.bci2000.org/mediawiki/index.php/Main_Page", "relationship": "HASIMPLEMENTATION"}], "citation": [{"creation_time": 1588741856679, "citation_pmid": "", "last_updated": 1588741856679, "citation_desc": "30+ years of P300 brain-computer interfaces", "citation_type": "", "citation_url": "http://doi.wiley.com/10.1111/psyp.13569", "citation_comment": "", "citation_authors": "Brendan Z. Allison, Andrea K\u00fcbler and Jing Jin", "citation_pubdate": "2020-04-17", "citation_pubname": "Psychophysiology", "name": "30+ years of P300 brain-computer interfaces", "id": "cit_fTCsXri8rAVr4", "citation_source": "", "doi": "10.1111/psyp.13569", "relationship": "HASCITATION"}], "contrasts": [{"creation_time": 1588743338867, "last_updated": 1588743338867, "name": "ERP latency", "id": "cnt_syKNTkzSXtMa9", "conditions": [[{"creation_time": 1588743256478, "last_updated": 1588743256478, "name": "Target stimuli", "id": "con_18Cl7X96yowMA"}, {"weight": 1.0}], [{"creation_time": 1588743270360, "last_updated": 1588743270360, "name": "Nontarget stimuli", "id": "con_3kpoLDjdx7gIz"}, {"weight": 1.0}]]}, {"creation_time": 1588743314970, "last_updated": 1588743314970, "name": "ERP amplitude", "id": "cnt_TolNDCLXnVqI9", "conditions": [[{"creation_time": 1588743256478, "last_updated": 1588743256478, "name": "Target stimuli", "id": "con_18Cl7X96yowMA"}, {"weight": 1.0}], [{"creation_time": 1588743270360, "last_updated": 1588743270360, "name": "Nontarget stimuli", "id": "con_3kpoLDjdx7gIz"}, {"weight": 1.0}]]}], "batteries": [], "disorders": [{"id": "dso_XngxUO4eoQNlQ", "name": "Tetraplegia", "id_user": null, "id_disorder": null, "id_task": "tsk_GxjZBNiJorj1K", "id_contrast": null, "event_stamp": null}, {"id": "dso_G3nNv2r93emFz", "name": "Stroke", "id_user": null, "id_disorder": null, "id_task": "tsk_GxjZBNiJorj1K", "id_contrast": null, "event_stamp": null}]}