ReviewNeuron2019
Designing and Interpreting Psychophysical Investigations of Cognition.
Review in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 52 citations in OpenAlex.
- Article
- The geometry of context-dependent biased decisions during learning.bioRxiv : the preprint server for biology · 2026Article
- Discovery and shaping of decision strategies using adversarial stimuli in rats.bioRxiv : the preprint server for biology · 2025Article
- Assessing the reliability of an online measure of the temporal binding window of audiovisual integration.Behavior research methods · 2025Article
- Confirmation bias through selective readout of information encoded in human parietal cortex.Nature communications · 2025Article
- Confirmation Bias through Selective Readout of Information Encoded in Human Parietal Cortex.bioRxiv : the preprint server for biology · 2025Article
- Limitation of switching sensory information flow in flexible perceptual decision making.Nature communications · 2025Article
- Reward Reinforcement Creates Enduring Facilitation of Goal-directed Behavior.Journal of cognitive neuroscience · 2024Article
- Task-irrelevant stimuli reliably boost phasic pupil-linked arousal but do not affect decision formation.Scientific reports · 2024Article
- Individual differences in belief updating and phasic arousal are related to psychosis proneness.Communications psychology · 2024Article
- Graded decisions in the human brain.Nature communications · 2024Article
- Recurrent Neural Circuits Overcome Partial Inactivation by Compensation and Re-learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Spectral-temporal processing of naturalistic sounds in monkeys and humans.Journal of neurophysiology · 2024Article
- Introspective inference counteracts perceptual distortion.Nature communications · 2023Article
- Dynamical latent state computation in the male macaque posterior parietal cortex.Nature communications · 2023Article
- Neural Mechanisms That Make Perceptual Decisions Flexible.Annual review of physiology · 2023Review
- A practical guide for studying human behavior in the lab.Behavior research methods · 2023Article
- Group-based, autonomous, individualized training and testing of long-tailed macaques (Frontiers in psychology · 2022Article
- Article
- Bayesian inference with incomplete knowledge explains perceptual confidence and its deviations from accuracy.Nature communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Scientific experimentation depends on the artificial control of natural phenomena. The inaccessibility of cognitive processes to direct manipulation can make such control difficult to realize. Here, we discuss approaches for overcoming this challenge. We advocate the incorporation of experimental techniques from sensory psychophysics into the study of cognitive processes such as decision making and executive control. These techniques include the use of simple parameterized stimuli to precisely manipulate available information and computational models to jointly quantify behavior and neural responses. We illustrate the potential for such techniques to drive theoretical development, and we examine important practical details of how to conduct controlled experiments when using them. Finally, we highlight principles guiding the use of computational models in studying the neural basis of cognition.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.