Doll et al., 2011 - Google Patents
Dopaminergic genes predict individual differences in susceptibility to confirmation biasDoll et al., 2011
View PDF- Document ID
- 15316716601842386652
- Author
- Doll B
- Hutchison K
- Frank M
- Publication year
- Publication venue
- Journal of Neuroscience
External Links
Snippet
The striatum is critical for the incremental learning of values associated with behavioral actions. The prefrontal cortex (PFC) represents abstract rules and explicit contingencies to support rapid behavioral adaptation in the absence of cumulative experience. Here we test …
- 230000003291 dopaminomimetic 0 title abstract description 16
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
- G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
- G01N33/502—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics for testing non-proliferative effects
-
- 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
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
-
- 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
- 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
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Doll et al. | Dopaminergic genes predict individual differences in susceptibility to confirmation bias | |
Doll et al. | Variability in dopamine genes dissociates model-based and model-free reinforcement learning | |
Collins et al. | How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis | |
Watanabe et al. | Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways | |
Poldrack et al. | Predicting violent behavior: what can neuroscience add? | |
Tamminga et al. | Strategies for advancing disease definition using biomarkers and genetics: the bipolar and schizophrenia network for intermediate phenotypes | |
Hagenauer et al. | Inference of cell type content from human brain transcriptomic datasets illuminates the effects of age, manner of death, dissection, and psychiatric diagnosis | |
Weeland et al. | Underlying mechanisms of gene–environment interactions in externalizing behavior: A systematic review and search for theoretical mechanisms | |
Braff et al. | Deconstructing schizophrenia: an overview of the use of endophenotypes in order to understand a complex disorder | |
Weigard et al. | Cognitive modeling suggests that attentional failures drive longer stop-signal reaction time estimates in attention deficit/hyperactivity disorder | |
Brendgen | Genetics and peer relations: A review | |
Musci et al. | Reducing aggression and impulsivity through school-based prevention programs: A gene by intervention interaction | |
Huys et al. | Disentangling the roles of approach, activation and valence in instrumental and pavlovian responding | |
Craig et al. | Recalled parental bonding, current attachment, and the triarchic conceptualisation of psychopathy | |
Morrison et al. | Representations of appetitive and aversive information in the primate orbitofrontal cortex | |
Jean-Richard-dit-Bressel et al. | Punishment insensitivity emerges from impaired contingency detection, not aversion insensitivity or reward dominance | |
Kollins et al. | SNPs in dopamine D2 receptor gene (DRD2) and norepinephrine transporter gene (NET) are associated with continuous performance task (CPT) phenotypes in ADHD children and their families | |
Ligneul | Sequential exploration in the Iowa gambling task: validation of a new computational model in a large dataset of young and old healthy participants | |
Wilson et al. | Minnesota center for twin and family research | |
Grazioplene et al. | A novel differential susceptibility gene: CHRNA4 and moderation of the effect of maltreatment on child personality | |
Walter et al. | A genetic contribution to cooperation: dopamine-relevant genes are associated with social facilitation | |
Beaver et al. | 8 A Review of the Genetic and Gene–Environment Interplay Contributors to Antisocial Phenotypes | |
Asif et al. | Identification of biological mechanisms underlying a multidimensional ASD phenotype using machine learning | |
Deserno et al. | Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference | |
Nes et al. | Family matters: happiness in nuclear families and twins |