Neural computations that underlie decisions about sensory stimuli.

By Joshua I. Gold, Michael N. Shadlen. Trends in Cognitive Sciences, 2001

892 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b0db162a54e0492f334623683d4d73bb729b09e2

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In Cognitive Neuroscience

Citations in the corpus

Probabilistic population codes for Bayesian decision making (2008, background): “For example, the notion that LIP neurons are effectively accumulating log odds when they integrate the difference in activity of MT neurons with opposite preferences is true only for binary decisions and ﬁxed coherence (Gold and Shadlen, 2001).”
The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions (2007, methodology): “The model also made several predictions about the physiological properties of STN and GP neurons, which, while consistent with existing data, provide a challenge for further experimental studies to test them in vitro and in vivo with synaptic input.”
Probabilistic brains: knowns and unknowns (2013, background): “When s is a binary variable, a similar coding scheme assumes that the neural response is proportional to the log odds ( r ∝ log p ( s = 1)/ p ( s = 0)) 43 .”
A role for neural integrators in perceptual decision making. (2003, background): “likelihood ratio favoring one direction over the alternative (Gold and Shadlen 2001).”
An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. (2005, background): “…the lateral interoparietal cortex (LIP) and frontal eye fields (FEF), areas whose neurons meet many criteria for neural integrators of information in models of simple decision making (Gold & Shadlen 2001, Hanes & Schall 1996, Mazurek et al. 2003, Schall & Thompson 1999, Shadlen & Newsome 1996).”
Inference and computation with population codes. (2003, background): “UNCERTAINTY IN 2-AFC EXPERIMENTS Gold & Shadlen (2001) have trained monkeys to indicate whether a visual stimulus is moving in one of two possible directions, e.g., up or down.”
Visual search: a retrospective. (2011, background): “Changes in prevalence or signal prior probabilities can be implemented as an additive bias related to the logarithm of the prior probability (Gold & Shadlen, 2001).”
Decision making, the P3, and the locus coeruleus-norepinephrine system. (2005, background): “…or identity of task-relevant stimuli and mapping these onto appropriate responses, processes that typically occur within hundreds of milliseconds—cf. Gold & Shadlen, 2001; Ratcliff, 1978) and (b) the observed properties of the P3 reflect an important informationprocessing function of the LC-NE…”
Decision theory, reinforcement learning, and the brain (2008, methodology): “The converse was true for cue C. Subjects can therefore in general expect a large shock when they get cue A; but this expectation can occasionally be reversed.”
Intentional maps in posterior parietal cortex. (2002, background): “These results are consistent with these areas weighting decision variables for the purpose of planning eye movements (Gold & Shadlen 2001).”
Symbols and quantities in parietal cortex: elements of a mathematical theory of number representation and manipulation (2007, background): “It is also possible that the neural systems for decision making rely on such a Gaussian approximation because it is easier to compute neurally (Gold and Shadlen, 2001).”