ReviewJournal of neurophysiology2015
Insights into decision making using choice probability.
Review in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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.
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Who cites it
21 citing papers in PubMed, 45 citations in OpenAlex.
- Spatiotemporal Divergence Between Intrinsic And Evoked Cortical Activity Predicts Visual Detection.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Correlates of head-fixed directional forelimb movements in mouse superior colliculus and substantia nigra pars reticulata.Neuroscience · 2026Article
- Coexistence of state, choice, and sensory integration coding in barrel cortex LII/III.Nature communications · 2024Article
- Response outcome gates the effect of spontaneous cortical state fluctuations on perceptual decisions.eLife · 2023Article
- Weak evidence for neural correlates of task-switching in macaque V1.Journal of neurophysiology · 2023Article
- Dynamical latent state computation in the male macaque posterior parietal cortex.Nature communications · 2023Article
- Distributed context-dependent choice information in mouse posterior cortex.Nature communications · 2023Article
- Perceptual enhancement and suppression correlate with V1 neural activity during active sensing.Current biology : CB · 2022Article
- Task-induced neural covariability as a signature of approximate Bayesian learning and inference.PLoS computational biology · 2022Article
- Ramp-to-threshold dynamics in a hindbrain population controls the timing of spontaneous saccades.Nature communications · 2021Article
- Inhibitory neurons in the superior colliculus mediate selection of spatially-directed movements.Communications biology · 2021Article
- Neural responses reveal associations between personal values and value-based decisions.Social cognitive and affective neuroscience · 2020Article
- Stimulus-choice (mis)alignment in primate area MT.PLoS computational biology · 2020Article
- Predicting Perceptual Decisions Using Visual Cortical Population Responses and Choice History.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Inferring decoding strategies for multiple correlated neural populations.PLoS computational biology · 2018Article
- Feedback determines the structure of correlated variability in primary visual cortex.Nature neuroscience · 2018Article
- Article
- Contrast sensitivity, V1 neural activity, and natural vision.Journal of neurophysiology · 2017Article
- Decision-Related Activity in Macaque V2 for Fine Disparity Discrimination Is Not Compatible with Optimal Linear Readout.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Commentary: Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT.Frontiers in systems neuroscience · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
A long-standing question in systems neuroscience is how the activity of single neurons gives rise to our perceptions and actions. Critical insights into this question occurred in the last part of the 20th century when scientists began linking modulations of neuronal activity directly to perceptual behavior. A significant conceptual advance was the application of signal detection theory to both neuronal activity and behavior, providing a quantitative assessment of the relationship between brain and behavior. One metric that emerged from these efforts was choice probability (CP), which provides information about how well an ideal observer can predict the choice an animal makes from a neuron's discharge rate distribution. In this review, we describe where CP has been studied, locational trends in the values found, and why CP values are typically so low. We discuss its dependence on correlated activity among neurons of a population, assess whether it arises from feedforward or feedback mechanisms, and investigate what CP tells us about how many neurons are required for a decision and how they are pooled to do so.
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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.