| scholarly article | Q13442814 |
| P2093 | author name string | W Todd Maddox | |
| F Gregory Ashby | |||
| P433 | issue | 3 | |
| P304 | page(s) | 309-332 | |
| P577 | publication date | 2004-06-01 | |
| P1433 | published in | Behavioural Processes | Q15753364 |
| P1476 | title | Dissociating explicit and procedural-learning based systems of perceptual category learning | |
| P478 | volume | 66 |
| Q48228537 | A Comparison of the neural correlates that underlie rule-based and information-integration category learning |
| Q41998337 | A computational model of the temporal dynamics of plasticity in procedural learning: sensitivity to feedback timing |
| Q38395316 | A memory-systems approach to the classification of personality tests: comment on Meyer and Kurtz (2006). |
| Q48415890 | A test of the regulatory fit hypothesis in perceptual classification learning |
| Q34152520 | Adult age differences in learning on a sequentially cued prediction task. |
| Q35656484 | Age-based differences in strategy use in choice tasks |
| Q35809673 | Altered implicit category learning in anorexia nervosa |
| Q44015260 | Analogical transfer in perceptual categorization |
| Q45998988 | Automaticity in rule-based and information-integration categorization. |
| Q34145611 | Better mood and better performance. Learning rule-described categories is enhanced by positive mood. |
| Q42727392 | Categorization of multidimensional stimuli by pigeons. |
| Q26744453 | Categorization: The View from Animal Cognition |
| Q33540193 | Category and perceptual learning in subjects with treated Wilson's disease |
| Q33599098 | Category label and response location shifts in category learning |
| Q48843883 | Category structure and the two learning systems of COVIS. |
| Q48420486 | Choking and excelling under pressure |
| Q43097820 | Choking and excelling under pressure in experienced classifiers |
| Q51976214 | Cognitive complexity effects in perceptual classification are dissociable. |
| Q40834917 | Combining computational modeling and neuroimaging to examine multiple category learning systems in the brain |
| Q42374189 | Commentary: "Poverty impedes cognitive function" and "The poor's poor mental power". |
| Q46020764 | Comparing the effects of positive and negative feedback in information-integration category learning. |
| Q50206406 | Competence, competency-based education, and undergraduate dental education: a discussion paper. |
| Q40255732 | Computational Models Inform Clinical Science and Assessment: An Application to Category Learning in Striatal-Damaged Patients |
| Q30892771 | Criterion learning in rule-based categorization: simulation of neural mechanism and new data |
| Q30407648 | Cross-modal information integration in category learning |
| Q30573643 | Deferred feedback sharply dissociates implicit and explicit category learning |
| Q34754171 | Development of implicit and explicit category learning |
| Q37004253 | Differential Effects of Regulatory Fit on Category Learning |
| Q37417473 | Differential impact of relevant and irrelevant dimension primes on rule-based and information-integration category learning |
| Q38644003 | Dissociable learning processes in comparative psychology. |
| Q30513155 | Dissociating hippocampal and striatal contributions to sequential prediction learning. |
| Q40001922 | Distinguishing the contributions of implicit and explicit processes to performance of the weather prediction task |
| Q45946162 | Do Americans Have a Preference for Rule-Based Classification? |
| Q37994772 | Do actions speak louder than words? A comparative perspective on implicit versus explicit meta-cognition and theory of mind |
| Q39421291 | Dopamine dependence in aggregate feedback learning: A computational cognitive neuroscience approach |
| Q30418659 | Dose dependent dopaminergic modulation of reward-based learning in Parkinson's disease |
| Q51982038 | Dual-task interference in perceptual category learning. |
| Q43732814 | Dynamical trajectories in category learning |
| Q90169879 | Effects of Systematic Categorization Training on Cognitive Performance in Healthy Older Adults and in Adults with Traumatic Brain Injury |
| Q41989746 | Ego depletion interferes with rule-defined category learning but not non-rule-defined category learning. |
| Q38173746 | Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models |
| Q43100642 | Feedback and stimulus-offset timing effects in perceptual category learning |
| Q51968992 | Feedback interference and dissociations of classification: evidence against the multiple-learning-systems hypothesis. |
| Q36122463 | Generalization of category knowledge and dimensional categorization in humans (Homo sapiens) and nonhuman primates (Macaca mulatta). |
| Q39976077 | How do motoric realities shape, and become shaped by, the way people evaluate and select potential courses of action? Toward a unitary framework of embodied decision making |
| Q30397484 | Impaired Statistical Learning in Developmental Dyslexia. |
| Q26995864 | Implicit and explicit categorization: a tale of four species |
| Q33739656 | Implicit and explicit category learning by macaques (Macaca mulatta) and humans (Homo sapiens) |
| Q30383957 | Individual differences in learning talker categories: the role of working memory |
| Q34545833 | Interpretive monitoring in the caudate nucleus. |
| Q50715364 | Is pressure stressful? The impact of pressure on the stress response and category learning. |
| Q45946926 | Learning and transfer of category knowledge in an indirect categorization task. |
| Q51004959 | Learning the exception to the rule: model-based FMRI reveals specialized representations for surprising category members. |
| Q30570325 | Learning-induced changes in attentional allocation during categorization: a sizable catalog of attention change as measured by eye movements |
| Q50051056 | Mechanisms underlying speech sound discrimination and categorization in humans and zebra finches. |
| Q92187570 | Mental Effort and Information-Processing Costs Are Inversely Related to Global Brain Free Energy During Visual Categorization |
| Q34774045 | Multilevel induction of categories: venomous snakes hijack the learning of lower category levels. |
| Q36614630 | Neurocognitive performance in unmedicated patients with hoarding disorder |
| Q36870764 | Nonlinguistic learning in individuals with aphasia: effects of training method and stimulus characteristics |
| Q50092050 | One-back reinforcement dissociates implicit-procedural and explicit-declarative category learning. |
| Q51947883 | Overthinking skilled motor performance: or why those who teach can't do. |
| Q30365918 | Performance Pressure Enhances Speech Learning. |
| Q50547191 | Phonological Concept Learning. |
| Q37371288 | Prefrontal contributions to rule-based and information-integration category learning. |
| Q52012226 | Preschoolers out of adults: discriminative learning with a cognitive load. |
| Q36915815 | Preserved implicit memory in dementia: a potential model for care |
| Q30371203 | Probabilistic category learning in developmental dyslexia: Evidence from feedback and paired-associate weather prediction tasks |
| Q50710215 | Procedural memory effects in categorization: evidence for multiple systems or task complexity? |
| Q41892807 | Procedural-based category learning in patients with Parkinson's disease: impact of category number and category continuity |
| Q48100798 | Re-evaluating Dissociations between Implicit and Explicit Category Learning: An Event-related fMRI Study |
| Q34037351 | Rule-based and information-integration category learning in normal aging |
| Q33924593 | Rule-based and information-integration perceptual category learning in children with attention-deficit/hyperactivity disorder |
| Q34036887 | Rule-based categorization deficits in focal basal ganglia lesion and Parkinson's disease patients |
| Q37475979 | Rule-based category learning in patients with Parkinson's disease |
| Q90102229 | Rule-based or information-integration category: processing of the self-face |
| Q64081737 | Selective attention in rat visual category learning |
| Q48068395 | Serotonin Transporter Genetic Variation is Differentially Associated with Reflexive- and Reflective-Optimal Learning |
| Q35441153 | Social incentives improve deliberative but not procedural learning in older adults |
| Q38402246 | Statistical learning within and between modalities: pitting abstract against stimulus-specific representations. |
| Q37071764 | Stereotype threat reinterpreted as a regulatory mismatch |
| Q51992017 | Stimulus modality interacts with category structure in perceptual category learning. |
| Q42186639 | Stimulus range and discontinuity effects on information-integration category learning and generalization |
| Q35720939 | Stress modulates the use of spatial versus stimulus-response learning strategies in humans |
| Q36111335 | Striatal and hippocampal entropy and recognition signals in category learning: simultaneous processes revealed by model-based fMRI |
| Q48496004 | Tacit knowledge in dental clinical teaching |
| Q46737958 | Targeted training of the decision rule benefits rule-guided behavior in Parkinson's disease |
| Q30429522 | Tests of a Dual-systems Model of Speech Category Learning |
| Q30384727 | The C957T polymorphism in the dopamine receptor D₂ gene modulates domain-general category learning. |
| Q33913755 | The Motivation-Cognition Interface in Learning and Decision-Making |
| Q35155347 | The Neurodynamics of Cognition: A Tutorial on Computational Cognitive Neuroscience |
| Q30359682 | The Role of Corticostriatal Systems in Speech Category Learning |
| Q98464811 | The Role of Edge-Based and Surface-Based Information in Incidental Category Learning: Evidence From Behavior and Event-Related Potentials |
| Q48118725 | The Transfer of Category Knowledge by Macaques (Macaca mulatta) and Humans (Homo sapiens). |
| Q45038580 | The dimensionality of perceptual category learning: a state-trace analysis |
| Q38605676 | The effect of training methodology on knowledge representation in categorization. |
| Q46094991 | The effects of category overlap on information-integration and rule-based category learning |
| Q46268532 | The effects of positive versus negative feedback on information-integration category learning |
| Q24647489 | The effects of sleep deprivation on information-integration categorization performance |
| Q27500388 | The human likeness dimension of the “uncanny valley hypothesis”: behavioral and functional MRI findings |
| Q38741652 | The impact of category structure and training methodology on learning and generalizing within-category representations |
| Q43688897 | The impact of irrelevant dimensional variation on rule-based category learning in patients with Parkinson's disease |
| Q91795484 | The neural correlates of trauma-related autobiographical memory in posttraumatic stress disorder: A meta-analysis |
| Q37344660 | The optimal level of fuzz: Case studies in a methodology for psychological research |
| Q37513386 | The psychological organization of "uncertainty" responses and "middle" responses: a dissociation in capuchin monkeys (Cebus apella) |
| Q27303059 | The time course of explicit and implicit categorization |
| Q30432913 | Toward a dual-learning systems model of speech category learning |
| Q36169490 | Transfer in Rule-Based Category Learning Depends on the Training Task |
| Q38624649 | Use of evidence in a categorization task: analytic and holistic processing modes |
| Q41854888 | What is pressure? Evidence for social pressure as a type of regulatory focus |
| Q48029067 | When the poor excel: Poverty facilitates procedural learning |
| Q48149572 | Where are nature's joints? Finding the mechanisms underlying categorization |
| Q64243188 | Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features |
| Q39623300 | Working-memory load and temporal myopia in dynamic decision making |
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