The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Neural correlates of decision variables in parietal cortex
Abstract
Decision theory proposes that humans and animals decide what to do in a given situation by assessing the relative value of each possible response. This assessment can be computed, in part, from the probability that each action will result in a gain and the magnitude of the gain expected. Here we show that the gain (or reward) a monkey can expect to realize from an eye-movement response modulates the activity of neurons in the lateral intraparietal area, an area of primate cortex that is thought to transform visual signals into eye-movement commands. We also show that the activity of these neurons is sensitive to the probability that a particular response will result in a gain. When animals can choose freely between two alternative responses, the choices subjects make and neuronal activation in this area are both correlated with the relative amount of gain that the animal can expect from each response. Our data indicate that a decision-theoretic model may provide a powerful new framework for studying the neural processes that intervene between sensation and action.
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In the citing paper
“The dlPFC and parietal cortex have reciprocal projections with the dACC”
From When Is an Adolescent an Adult? Assessing Cognitive Control in Emotional and Nonemotional Contexts (2016) · cites this paper as Platt & Glimcher, 1999
In the citing paper
“LIP neurons are hypothesized to encode the attentional salience or expected value of a visual saccade target (52, 53, 63), but these concepts cannot explain the pattern of LIP activity in our experiment.”
From Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex (2009) · cites this paper as [53]
In the citing paper
“The changes in sensory-driven LIP responses with training also did not appear to reflect changes in other motor (Fig. 5, middle) or motivational parameters (Fig. 5, right) known to modulate LIP activity21, 22.”
From Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area (2008) · cites this paper as [21]
In the citing paper
“LIP plays a multitude of cognitive and sensory-motor roles that could, in principle, change during training and account for the changes in LIP responses during motion viewing 20–22.”
From Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area (2008) · cites this paper as [21]
In the citing paper
“In addition, previous studies have shown that LIP responses are modulated by many factors, such as attention, expectation, time, motor intention, experienced value, reward, and the prior probability of making an eye movement12,13,39–42.”
From Microstimulation of macaque area LIP affects decision-making in a motion discrimination task (2006) · cites this paper as [42]
In the citing paper
“Parietal cortex has also been implicated in decision making based on the value representation as well as on the accumulation of sensory evidence38,39.”
From A reservoir of time constants for memory traces in cortical neurons (2011) · cites this paper as [38]
In the citing paper
“Single neurons in a number of cortical areas have activity correlated with reinforcer frequency (Barraclough, Conroy, & Lee, 2004; Platt & Glimcher, 1999; Sugrue et al., 2004) and magnitude (Platt & Glimcher, 1999).”
From DYNAMIC RESPONSE-BY-RESPONSE MODELS OF MATCHING BEHAVIOR IN RHESUS MONKEYS (2005) · cites this paper as Platt & Glimcher, 1999
In the citing paper
“Brain structures activated in decision making and modulated by reward signals include caudate (Samejima et al., 2005; Hikosaka et al., 2006), lateral parietal cortex area LIP (Platt and Glimcher, 1999; Sugrue et al., 2004), and prefrontal cortex (Watanabe, 1996; Roesch and Olson, 2003).”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Platt and Glimcher, 1999
Citations
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RELATIVE AND ABSOLUTE STRENGTH OF RESPONSE AS A FUNCTION OF FREQUENCY OF REINFORCEMENT 1, 2
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Flagged first, then by citations
Research works printed but not linked: 5
- von Holst, E. The Behavioral Physiology of Animals and Man. Selected Papers of Eric von Holst (Univ. of Miami Press, Coral Gables, Florida, (1973).
- Stephens, D. W. & Krebs, J. R. Foraging Theory (Princeton Univ. Press, Princeton, (1986).
- Bernoulli, D. The Works (Birkhauser, Boston, (1738:1982) transl. D. Speiser).
- Platt, M. L. & Glimcher, P. W. Representation of prior probability and movement metrics by area LIP neurons. Soc. Neurosci. Abstr. 23, 16 (1997).
- Platt, M. L. & Glimcher, P. W. Neurons in area LIP carry information correlated with movement probability and reward magnitude. Invest. Ophthalmol. Vis. Sci. 39, 326 (1998).
Cited by
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Items 1,001–1,001 of 1,001
Sensorimotor Mechanisms of Decisions and Actions
James, T. W. (2026) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.a.2484
Metadata
- Authors
- Platt, M. L., & Glimcher, P. W.
- Affiliations
- New York University (US)
- Corresponding author
- Platt, Michael L.
- Venue
- Nature
- Published
- 1999-07
- Volume
- 400
- Issue
- 6741
- Pages
- 233-238
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2107886772
- Cited by
- 1,721
- References
- 40
- Citations by year
- 2026: 24 · 2025: 33 · 2024: 41 · 2023: 41 · 2022: 54 · 2021: 51 · 2020: 53 · 2019: 75 · 2018: 52 · 2017: 56 · 2016: 57 · 2015: 82 · 2014: 82 · 2013: 113 · 2012: 101
- FWCI
- 14.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- decision-making, lateral intraparietal area, parietal cortex, reward magnitude, response probability, eye movements, decision variables, decision-theoretic model
- MeSH terms
- Animals, Color Perception, Decision Making, Eye Movements, Fixation, Ocular, Macaca, Models, Neurological, Motor Neurons, Neurons, Neurons, Afferent, Parietal Lobe, Probability, Reward
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