| scholarly article | Q13442814 |
| P2093 | author name string | W Todd Maddox | |
| F Gregory Ashby | |||
| Vivian V Valentin | |||
| P2860 | cites work | A neural substrate of prediction and reward | Q27860851 |
| Activation of NMDA receptors induces dephosphorylation of DARPP-32 in rat striatal slices | Q28236649 | ||
| DARPP-32, a dopamine-regulated neuronal phosphoprotein, is a potent inhibitor of protein phosphatase-1 | Q28259380 | ||
| A critical time window for dopamine actions on the structural plasticity of dendritic spines | Q28397378 | ||
| The role of auditory features in memory span for words | Q29041496 | ||
| Predictive reward signal of dopamine neurons | Q29615397 | ||
| The role of the basal ganglia in habit formation | Q29619829 | ||
| Implicit motor sequence learning is represented in response locations | Q30305820 | ||
| Distinct Eligibility Traces for LTP and LTD in Cortical Synapses. | Q30370604 | ||
| A neuropsychological theory of motor skill learning | Q30472431 | ||
| Category label and response location shifts in category learning | Q33599098 | ||
| Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling | Q33665638 | ||
| States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning | Q33954079 | ||
| Dopamine and synaptic plasticity in the neostriatum | Q33989366 | ||
| Learning and memory functions of the Basal Ganglia | Q34132332 | ||
| Discrete coding of reward probability and uncertainty by dopamine neurons. | Q34185213 | ||
| Type I membranes, phase resetting curves, and synchrony | Q34387915 | ||
| The roles of the caudate nucleus in human classification learning. | Q34403720 | ||
| Global model analysis by parameter space partitioning. | Q52026049 | ||
| Ad hoc categories. | Q52281507 | ||
| Effects of task complexity and task organization on the relative efficiency of part and whole training methods. | Q52355342 | ||
| Erasing the engram: the unlearning of procedural skills. | Q55638340 | ||
| The time course of perceptual choice: The leaky, competing accumulator model | Q59410689 | ||
| Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input | Q72300758 | ||
| A neurocomputational account of cognitive deficits in Parkinson's disease | Q34454061 | ||
| How instructed knowledge modulates the neural systems of reward learning | Q34471653 | ||
| Model-based influences on humans' choices and striatal prediction errors | Q34802557 | ||
| Dopamine-dependent plasticity of corticostriatal synapses | Q34951521 | ||
| Actor-critic models of the basal ganglia: new anatomical and computational perspectives | Q34951552 | ||
| Midbrain dopamine neurons encode a quantitative reward prediction error signal | Q35025423 | ||
| The Neurodynamics of Cognition: A Tutorial on Computational Cognitive Neuroscience | Q35155347 | ||
| Context-dependent savings in procedural category learning. | Q35463306 | ||
| Learning from delayed feedback: neural responses in temporal credit assignment | Q35525953 | ||
| A new framework for cortico-striatal plasticity: behavioural theory meets in vitro data at the reinforcement-action interface | Q35538767 | ||
| Dissociating explicit and procedural-learning based systems of perceptual category learning | Q35781303 | ||
| Context, cortex, and dopamine: a connectionist approach to behavior and biology in schizophrenia | Q35906744 | ||
| Simulating the effects of dopamine imbalance on cognition: from positive affect to Parkinson's disease | Q36010726 | ||
| Human category learning | Q36040918 | ||
| Striatal dopamine release in sequential learning | Q36143529 | ||
| Behavioral theories and the neurophysiology of reward | Q36327150 | ||
| Dopamine and synaptic plasticity in dorsal striatal circuits controlling action selection | Q37629163 | ||
| Human category learning 2.0. | Q37823650 | ||
| Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models | Q38173746 | ||
| Delayed feedback disrupts the procedural-learning system but not the hypothesis-testing system in perceptual category learning | Q38417862 | ||
| Interactions within and between corticostriatal loops during component processes of category learning | Q39773591 | ||
| Procedural learning is impaired in Huntington's disease: Evidence from the serial reaction time task | Q41152465 | ||
| Long-term synaptic depression in the striatum: physiological and pharmacological characterization | Q42453585 | ||
| How the basal ganglia use parallel excitatory and inhibitory learning pathways to selectively respond to unexpected rewarding cues | Q42480369 | ||
| Feedback and stimulus-offset timing effects in perceptual category learning | Q43100642 | ||
| Initial training with difficult items facilitates information integration, but not rule-based category learning | Q43225732 | ||
| Temporal difference model reproduces anticipatory neural activity | Q43545951 | ||
| Dopamine responses comply with basic assumptions of formal learning theory | Q43673182 | ||
| A model of dopamine modulated cortical activation | Q44704106 | ||
| A neuropsychological theory of multiple systems in category learning | Q45296295 | ||
| A computational model of how cholinergic interneurons protect striatal-dependent learning. | Q46022993 | ||
| Functional mapping of sequence learning in normal humans. | Q46269044 | ||
| Procedural learning in perceptual categorization | Q46467741 | ||
| Dopamine cells respond to predicted events during classical conditioning: evidence for eligibility traces in the reward-learning network. | Q46575291 | ||
| Procedural learning of unstructured categories | Q46738334 | ||
| A neurobiological theory of automaticity in perceptual categorization | Q46870178 | ||
| Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task | Q48323891 | ||
| Learning of sequential movements by neural network model with dopamine-like reinforcement signal | Q48391185 | ||
| Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey | Q48744962 | ||
| Delayed feedback effects on rule-based and information-integration category learning. | Q51947166 | ||
| Multiple model-based reinforcement learning. | Q51956885 | ||
| Solving the credit assignment problem: explicit and implicit learning of action sequences with probabilistic outcomes. | Q51988427 | ||
| P921 | main subject | dopamine | Q170304 |
| cognitive neuroscience | Q1138951 | ||
| P304 | page(s) | 1-18 | |
| P577 | publication date | 2016-09-02 | |
| P1433 | published in | Brain and Cognition | Q4955810 |
| P1476 | title | Dopamine dependence in aggregate feedback learning: A computational cognitive neuroscience approach | |
| P478 | volume | 109 |
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