Probabilistic population codes for Bayesian decision making
about
Translational biomedical informatics in the cloud: present and futureFusion of visual cues is not mandatory in childrenImproved probabilistic inference as a general learning mechanism with action video gamesMoment-to-moment brain signal variability: a next frontier in human brain mapping?Probabilistic brains: knowns and unknownsBayesian action&perception: representing the world in the brainNeural basis of reinforcement learning and decision makingChoice certainty is informed by both evidence and decision time.Population Code Dynamics in Categorical Perception.There are things that we know that we know, and there are things that we do not know we do not know: Confidence in decision-makingTesting sensory evidence against mnemonic templatesThe efference cascade, consciousness, and its self: naturalizing the first person pivot of action controlFrom salience to saccades: multiple-alternative gated stochastic accumulator model of visual searchBayesian cue integration as a developmental outcome of reward mediated learningBehavioral, perceptual, and neural alterations in sensory and multisensory function in autism spectrum disorderCue Reliability Represented in the Shape of Tuning Curves in the Owl's Sound Localization SystemA fully automated rodent conditioning protocol for sensorimotor integration and cognitive control experimentsNeural representation of probabilities for Bayesian inference.Decoding stimulus duration from neural responses in the auditory midbrainNeural representation of calling songs and their behavioral relevance in the grasshopper auditory system.The speed-accuracy tradeoff: history, physiology, methodology, and behavior.The meaning of spikes from the neuron's point of view: predictive homeostasis generates the appearance of randomnessSignal multiplexing and single-neuron computations in lateral intraparietal area during decision-makingDynamic weighting of multisensory stimuli shapes decision-making in rats and humansBasing perceptual decisions on the most informative sensory neurons.Perceptual decision making in less than 30 milliseconds.Changes of mind in decision-making.Neural correlates of perceptual decision making before, during, and after decision commitment in monkey frontal eye field.Perceptual learning as improved probabilistic inference in early sensory areasA fast and simple population code for orientation in primate V1Understanding variability in the BOLD signal and why it matters for aging.Relation between belief and performance in perceptual decision making.A probabilistic strategy for understanding action selectionCognitive neural prostheticsObserving the observer (I): meta-bayesian models of learning and decision-making.Decision making: the neuroethological turn.The mechanics of state-dependent neural correlations.Spike-based population coding and working memory.Inferring visuomotor priors for sensorimotor learning.Action selection: a race model for selected and non-selected actions distinguishes the contribution of premotor and prefrontal areas.
P2860
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P2860
Probabilistic population codes for Bayesian decision making
description
2008 nî lūn-bûn
@nan
2008 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
name
Probabilistic population codes for Bayesian decision making
@ast
Probabilistic population codes for Bayesian decision making
@en
type
label
Probabilistic population codes for Bayesian decision making
@ast
Probabilistic population codes for Bayesian decision making
@en
prefLabel
Probabilistic population codes for Bayesian decision making
@ast
Probabilistic population codes for Bayesian decision making
@en
P2093
P2860
P50
P1433
P1476
Probabilistic population codes for Bayesian decision making
@en
P2093
Alexandre Pouget
Anne K Churchland
Jamie Roitman
Jeffrey M Beck
Peter E Latham
P2860
P304
P356
10.1016/J.NEURON.2008.09.021
P407
P577
2008-12-01T00:00:00Z