Morrison et al., 2015 - Google Patents
Dissociation of category-learning systems via brain potentialsMorrison et al., 2015
View HTML- Document ID
- 7167591502424790210
- Author
- Morrison R
- Reber P
- Bharani K
- Paller K
- Publication year
- Publication venue
- Frontiers in Human Neuroscience
External Links
Snippet
Behavioral, neuropsychological, and neuroimaging evidence has suggested that categories can often be learned via either an explicit rule-based (RB) mechanism critically dependent on medial temporal and prefrontal brain regions, or via an implicit information-integration (II) …
- 210000004556 Brain 0 title abstract description 18
Classifications
-
- 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
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0476—Electroencephalography
- A61B5/0484—Electroencephalography using evoked response
-
- 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
-
- 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
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0476—Electroencephalography
- A61B5/048—Detecting the frequency distribution of signals
-
- 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
-
- 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
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Perl et al. | Human non-olfactory cognition phase-locked with inhalation | |
Solomon et al. | Widespread theta synchrony and high-frequency desynchronization underlies enhanced cognition | |
Waschke et al. | States and traits of neural irregularity in the age-varying human brain | |
Kissler et al. | Emotion and attention in visual word processing—An ERP study | |
Gaillard et al. | Converging intracranial markers of conscious access | |
Legon et al. | Altered prefrontal excitation/inhibition balance and prefrontal output: markers of aging in human memory networks | |
Holroyd et al. | The feedback correct‐related positivity: Sensitivity of the event‐related brain potential to unexpected positive feedback | |
Freyer et al. | State-dependent perceptual learning | |
Garrido et al. | Bayesian mapping reveals that attention boosts neural responses to predicted and unpredicted stimuli | |
Kaliukhovich et al. | Neurons in macaque inferior temporal cortex show no surprise response to deviants in visual oddball sequences | |
Schröger et al. | Processing of abstract rule violations in audition | |
Schacht et al. | Association with positive outcome induces early effects in event-related brain potentials | |
Morrison et al. | Dissociation of category-learning systems via brain potentials | |
Stegmann et al. | The effect of trait anxiety on attentional mechanisms in combined context and cue conditioning and extinction learning | |
Norman et al. | Neuronal baseline shifts underlying boundary setting during free recall | |
Huang et al. | A source for awareness-dependent figure–ground segregation in human prefrontal cortex | |
Schwartz et al. | Pupil-associated states modulate excitability but not stimulus selectivity in primary auditory cortex | |
Bailey et al. | Mindfulness meditators do not show differences in electrophysiological measures of error processing | |
Guerreiro et al. | Age-equivalent top–down modulation during cross-modal selective attention | |
Katyal et al. | Conflict-sensitive neurons gate interocular suppression in human visual cortex | |
Meindertsma et al. | Multiple transient signals in human visual cortex associated with an elementary decision | |
Sarmiento et al. | Contextual factors multiplex to control multisensory processes | |
Vahid et al. | Conditional generative adversarial networks applied to EEG data can inform about the inter-relation of antagonistic behaviors on a neural level | |
den Ouden et al. | Stimulus expectations do not modulate visual event-related potentials in probabilistic cueing designs | |
Song et al. | Differential classical conditioning selectively heightens response gain of neural population activity in human visual cortex |