| scholarly article | Q13442814 |
| P2093 | author name string | R Ratcliff | |
| B U Forstmann | |||
| E-J Wagenmakers | |||
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| Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. | Q34157849 | ||
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| The neurobiology of visual-saccadic decision making | Q35550539 | ||
| A diffusion model decomposition of the effects of alcohol on perceptual decision making | Q35697174 | ||
| Children are not like older adults: a diffusion model analysis of developmental changes in speeded responses. | Q35700397 | ||
| The cost of accumulating evidence in perceptual decision making | Q35898109 | ||
| Elapsed decision time affects the weighting of prior probability in a perceptual decision task. | Q35972206 | ||
| Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract? | Q36062562 | ||
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| EEG oscillations reveal neural correlates of evidence accumulation | Q36099127 | ||
| Temporal integration of olfactory perceptual evidence in human orbitofrontal cortex | Q36231522 | ||
| Application of the diffusion model to two-choice tasks for adults 75-90 years old | Q36681185 | ||
| Macrocircuits: decision networks | Q36710273 | ||
| Decision-making with multiple alternatives | Q36755726 | ||
| Inhibitory control in mind and brain: an interactive race model of countermanding saccades. | Q36821319 | ||
| Striatum and pre-SMA facilitate decision-making under time pressure | Q36970857 | ||
| The relative influences of priors and sensory evidence on an oculomotor decision variable during perceptual learning | Q36978638 | ||
| Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG | Q37167835 | ||
| Decision making in recurrent neuronal circuits | Q37260913 | ||
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| Using diffusion models to understand clinical disorders | Q40195989 | ||
| Individual Differences and Fitting Methods for the Two-Choice Diffusion Model of Decision Making | Q40666701 | ||
| A Comparison between Mechanisms of Multi-Alternative Perceptual Decision Making: Ability to Explain Human Behavior, Predictions for Neurophysiology, and Relationship with Decision Theory | Q41123844 | ||
| Revisiting the evidence for collapsing boundaries and urgency signals in perceptual decision-making | Q41447383 | ||
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| Modeling the effects of hypoglycemia on a two-choice task in adult humans | Q42922308 | ||
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| Evidence for time-variant decision making | Q46559918 | ||
| Extending JAGS: a tutorial on adding custom distributions to JAGS (with a diffusion model example). | Q46838304 | ||
| Specifying theories of developmental dyslexia: a diffusion model analysis of word recognition. | Q46905631 | ||
| A recurrent network mechanism of time integration in perceptual decisions. | Q46911585 | ||
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| Neural correlates of decision variables in parietal cortex | Q48152315 | ||
| Connectionist and diffusion models of reaction time | Q48180835 | ||
| Separate signals for target selection and movement specification in the superior colliculus | Q48212723 | ||
| Modulation of neuronal activity in superior colliculus by changes in target probability. | Q48395834 | ||
| Neural representation of task difficulty and decision making during perceptual categorization: a timing diagram. | Q48433043 | ||
| Interpreting the parameters of the diffusion model: an empirical validation. | Q48492669 | ||
| Fast-dm: a free program for efficient diffusion model analysis. | Q48591836 | ||
| Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. | Q48744962 | ||
| Neural control of voluntary movement initiation. | Q48888981 | ||
| Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution. | Q50672945 | ||
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | neuroscience | Q207011 |
| cognitive neuroscience | Q1138951 | ||
| P304 | page(s) | 641-66 | |
| P577 | publication date | 2016-01-01 | |
| P1433 | published in | Annual Review of Psychology | Q15762820 |
| P1476 | title | Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions | |
| P478 | volume | 67 |
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