Rosedahl et al., 2018 - Google Patents
Retinal-specific category learningRosedahl et al., 2018
View PDF- Document ID
- 2115028750340725567
- Author
- Rosedahl L
- Eckstein M
- Ashby F
- Publication year
- Publication venue
- Nature Human Behaviour
External Links
Snippet
Virtually all cognitive theories of category learning (such as prototype theory,,,–and exemplar theory,–) view this important skill as a high-level process that uses abstract representations of objects in the world. Because these representations are removed from …
- 229930002945 all-trans-retinaldehyde 0 title description 21
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
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- 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
- G06F19/36—Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- 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
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
-
- 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
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kar et al. | Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior | |
Vahid et al. | Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control | |
Maniscalco et al. | Heuristic use of perceptual evidence leads to dissociation between performance and metacognitive sensitivity | |
Rosedahl et al. | Retinal-specific category learning | |
Podvalny et al. | A dual role of prestimulus spontaneous neural activity in visual object recognition | |
Borji et al. | Defending Yarbus: Eye movements reveal observers' task | |
Debettencourt et al. | Closed-loop training of attention with real-time brain imaging | |
Chen et al. | Optimal decoding of correlated neural population responses in the primate visual cortex | |
Engbert et al. | Spatial statistics and attentional dynamics in scene viewing | |
Mendoza et al. | Neural basis for categorical boundaries in the primate pre-SMA during relative categorization of time intervals | |
Solovey et al. | A decisional account of subjective inflation of visual perception at the periphery | |
Ciarrochi et al. | Developing an item pool to assess processes of change in psychological interventions: The Process-Based Assessment Tool (PBAT) | |
Vidaurre et al. | Temporally unconstrained decoding reveals consistent but time-varying stages of stimulus processing | |
Ratner et al. | Is race erased? Decoding race from patterns of neural activity when skin color is not diagnostic of group boundaries | |
Szpiro et al. | Exogenous attention enables perceptual learning | |
Calvo et al. | Recognition advantage of happy faces in extrafoveal vision: Featural and affective processing | |
Hasshim et al. | Assessing stimulus–stimulus (semantic) conflict in the Stroop task using saccadic two-to-one color response mapping and preresponse pupillary measures | |
Sundberg et al. | A motion-dependent distortion of retinotopy in area V4 | |
Djurdjevic et al. | Accuracy of rats in discriminating visual objects is explained by the complexity of their perceptual strategy | |
Cappelletti et al. | Commonalities for numerical and continuous quantity skills at temporo-parietal junction | |
Mohamed et al. | Combined effects of attention and inversion on event-related potentials to human bodies and faces | |
Ramon | The power of how—lessons learned from neuropsychology and face processing | |
Wilcockson et al. | Atypically heterogeneous vertical first fixations to faces in a case series of people with developmental prosopagnosia | |
Shedden et al. | Event-related potentials as brain correlates of item specific proportion congruent effects | |
Kiat et al. | Rapid extraction of the spatial distribution of physical saliency and semantic informativeness from natural scenes in the human brain |