Weichart et al., 2021 - Google Patents
Quantifying mechanisms of cognition with an experiment and modeling ecosystemWeichart et al., 2021
View HTML- Document ID
- 3436467571099573246
- Author
- Weichart E
- Darby K
- Fenton A
- Jacques B
- Kirkpatrick R
- Turner B
- Sederberg P
- Publication year
- Publication venue
- Behavior Research Methods
External Links
Snippet
Although there have been major strides toward uncovering the neurobehavioral mechanisms involved in cognitive functions like memory and decision making, methods for measuring behavior and accessing latent processes through computational means remain …
- 230000019771 cognition 0 title description 9
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Malmberg et al. | Are we together or not? The temporal interplay of monitoring, physiological arousal and physiological synchrony during a collaborative exam | |
| Heller et al. | A machine learning-based analysis of game data for attention deficit hyperactivity disorder assessment | |
| US9367666B2 (en) | Mapping cognitive to functional ability | |
| Yoo et al. | A brain-based general measure of attention | |
| US10722164B2 (en) | Method and system for detection and analysis of cognitive flow | |
| Lanata et al. | Nonlinear analysis of eye-tracking information for motor imagery assessments | |
| Holton et al. | Goal commitment is supported by vmPFC through selective attention | |
| Vîslă et al. | Predictors of change in patient treatment outcome expectation during cognitive-behavioral psychotherapy for generalized anxiety disorder. | |
| Harper et al. | Perfectionism and effort-related cardiac activity: Do perfectionists try harder? | |
| Erhan et al. | Obsessive compulsive features predict cautious decision strategies | |
| Parsons et al. | National Institutes of Health initiatives for advancing scientific developments in clinical neuropsychology | |
| Koch et al. | Assessing intelligence without intelligence tests. Future perspectives | |
| Angiolelli et al. | The virtual parkinsonian patient | |
| Doukakis | Exploring brain activity and transforming knowledge in visual and textual programming using neuroeducation approaches | |
| Barbosa et al. | A practical guide for studying human behavior in the lab | |
| Guo | The correlation between mindfulness, decentering, and psychological problems: A structural equation modeling meta-analysis | |
| Weichart et al. | Quantifying mechanisms of cognition with an experiment and modeling ecosystem | |
| Thompson et al. | Generalized models for quantifying laterality using functional transcranial Doppler ultrasound | |
| Kim et al. | Impulsivity is related to overhasty risk learning in attention-deficit/hyperactivity disorder: a computational psychiatric approach | |
| Schiepek | Contributions of systemic research to the development of psychotherapy | |
| Boag et al. | An expert guide to planning experimental tasks for evidence-accumulation modeling | |
| Grabo et al. | Vagally-mediated heart rate variability longitudinally predicts test anxiety in university students | |
| Ng et al. | Growth curve models in retrospective memory and prospective memory: the relationship between prediction and performance with task experience | |
| Horner et al. | Brain activity associated with emotion regulation predicts individual differences in working memory ability | |
| Xu et al. | Unveiling consistency in flexibility: the role of reward and cognitive control in moral decisions |