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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
Cites
Theory of games and economic behavior
Garcia, S. R., & Miller, S. J. (2019) · American Mathematical Society eBooks · doi:10.1090/mbk/121/32 · Cited by 16,777
Judgment under Uncertainty: Heuristics and Biases
(1982) · doi:10.1017/cbo9780511809477 · Cited by 8,240
Judgment under uncertainty: List of contributors
Kahneman, D. J., Slovic, P., & Tversky, A. (1982) · Cited by 4,670
Judgment under uncertainty: Causality and attribution
Kahneman, D. J., Slovic, P., & Tversky, A. (1982) · Cited by 4,670
The Integrative Action of the Nervous System.
Sherrington, C. (1907) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-190734120-00021 · Cited by 4,136
Theory of Games and Economic Behavior
Hawkins, D. (1945) · Philosophy of Science · doi:10.1086/286866 · Cited by 3,970
Schoener, T. W. (1971) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.02.110171.002101 · Cited by 3,605
Optimal Foraging: A Selective Review of Theory and Tests
Pyke, G. H., Pulliam, H. R., & Charnov, E. L. (1977) · The Quarterly Review of Biology · doi:10.1086/409852 · Cited by 3,353
Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex.
Pavlov, P. I. (1930) · Archives of Neurology And Psychiatry · doi:10.1001/archneurpsyc.1930.02220110256018 · Cited by 2,681
RELATIVE AND ABSOLUTE STRENGTH OF RESPONSE AS A FUNCTION OF FREQUENCY OF REINFORCEMENT 1, 2
Herrnstein, R. J. (1961) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1961.4-267 · Cited by 2,281
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
Sorted by citations
Items 701–800 of 1,001
Memory shapes visual search strategies in large-scale environments
Li, C.-L., Aivar, M. P., Tong, M. H., & Hayhoe, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-22731-w · Cited by 42
Kloeters, S., Bertoux, M., O’Callaghan, C., Hodges, J. R., & Hornberger, M. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.01.011 · Cited by 43
Multi-stage mental process for economic choice in capuchins
Padoa‐Schioppa, C., Jandolo, L., & Visalberghi, E. M. (2005) · Cognition · doi:10.1016/j.cognition.2005.04.008 · Cited by 42
Christopoulos, V. N., Bonaiuto, J. J., Kagan, I., & Andersen, R. A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1068-15.2015 · Cited by 41
What are the Odds? The Neural Correlates of Active Choice during Gambling
Studer, B., Apergis-Schoute, A. M., Robbins, T. W., & Clark, L. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00046 · Cited by 44
Larsen, T., & O’Doherty, J. P. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0473 · Cited by 45
Neural mechanisms of navigation involving interactions of cortical and subcortical structures
Hinman, J. R., Dannenberg, H., Alexander, A. S., & Hasselmo, M. E. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00498.2017 · Cited by 45
Separate encoding of model-based and model-free valuations in the human brain
Beierholm, U., Anen, C., Quartz, S. R., & Bossaerts, P. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.071 · Cited by 45
Representation of numerosity in posterior parietal cortex
Roitman, J. D., Brannon, E. M., & Platt, M. L. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00025 · Cited by 42
Self-citationReversible inactivation of pSTS suppresses social gaze following in the macaque (Macaca mulatta)
Roy, A., Shepherd, S. V., & Platt, M. L. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss123 · Cited by 42
Self-citationGeisler, W. S., & Cormack, L. K. (2011) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199539789.013.0024 · Cited by 40
Hasegawa, R. P., Blitz, A. M., & Goldberg, M. E. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01110.2003 · Cited by 40
Optimal decision-making in mammals: insights from a robot study of rodent texture discrimination
Lepora, N. F., Fox, C., Evans, M. H., Diamond, M. E., GURNEY, K. N., & Prescott, T. J. (2012) · Journal of The Royal Society Interface · doi:10.1098/rsif.2011.0750 · Cited by 40
Reference frames for reaching when decoupling eye and target position in depth and direction
Bosco, A., Breveglieri, R., Hadjidimitrakis, K., Galletti, C., & Fattori, P. (2016) · Scientific Reports · doi:10.1038/srep21646 · Cited by 43
Neuroanatomical Substrates for Risk Behavior
Levy, I. (2016) · The Neuroscientist · doi:10.1177/1073858416672414 · Cited by 43
Temporal coding of reward-guided choice in the posterior parietal cortex
Hawellek, D. J., Wong, Y. T., & Pesaran, B. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606479113 · Cited by 41
Challenges of Interpreting Frontal Neurons during Value-Based Decision-Making
Wallis, J. D., & Rich, E. L. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00124 · Cited by 41
Integrated Bayesian models of learning and decision making for saccadic eye movements
Brodersen, K. H., Penny, W. D., Harrison, L. M., Jean Daunizeau, A., Ruff, C. C., Düzel, E., Friston, K. J., & Stephan, K. E. (2008) · Neural Networks · doi:10.1016/j.neunet.2008.08.007 · Cited by 38
Rewards and punishments, goal-directed behavior and consciousness
Ressler, N. (2003) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2003.10.003 · Cited by 39
Neuroethology of reward and decision making
Watson, K. K., & Platt, M. L. (2008) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0159 · Cited by 40
Self-citationEffects of motivational conflicts on visually elicited saccades in monkeys
Watanabe, K., Lauwereyns, J., & Hikosaka, O. (2003) · Experimental Brain Research · doi:10.1007/s00221-003-1555-9 · Cited by 40
Reward anticipation, cognition, and electrodermal activity in the conditioned monkey
Amiez, C., Procyk, E., Honoré, J., Sequeira, H., & Joseph, J. (2003) · Experimental Brain Research · doi:10.1007/s00221-002-1353-9 · Cited by 40
Neuroanatomical Basis of Consciousness
Blumenfeld, H. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-800948-2.00001-7 · Cited by 39
The timing of exploratory decision-making revealed by single-trial topographic EEGanalyses
Tzovara, A., Murray, M. M., Bourdaud, N., Chavarriaga, R., Millán, J. D. R., & Marzia De Lucia, E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.136 · Cited by 41
Pastor‐Bernier, A., Plott, C. R., & Schultz, W. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612010114 · Cited by 39
Haller, A., & Schwabe, L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.036 · Cited by 40
Past rewards capture spatial attention and action choices
Càmara, E., Manohar, S., & Husain, M. (2013) · Experimental Brain Research · doi:10.1007/s00221-013-3654-6 · Cited by 39
Perception, Action, and Utility: The Tangled Skein
Gershman, S. J., & Daw, N. D. (2012) · The MIT Press eBooks · doi:10.7551/mitpress/9108.003.0015 · Cited by 38
Consistent patterns of distractor effects during decision making
Chau, B. K. H., Law, C.-K., Lopez‐Persem, A., Klein-Flügge, M. C., & Rushworth, M. F. S. (2020) · eLife · doi:10.7554/elife.53850 · Cited by 36
Exploring Cognition with Brain–Machine Interfaces
Andersen, R. A., Aflalo, T., Bashford, L., Bjånes, D. A., & Kellis, S. (2022) · Annual Review of Psychology · doi:10.1146/annurev-psych-030221-030214 · Cited by 39
Dopamine Modulates the Neural Representation of Subjective Value of Food in Hungry Subjects
Medic, N., Ziauddeen, H., Vestergaard, M. D., Henning, E., Schultz, W., Farooqi, I. S., & Fletcher, P. C. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2051-14.2014 · Cited by 38
Fundamental Requirements for Primary Visual Perception
Pollen, D. A. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm226 · Cited by 38
Valuation of uncertain and delayed rewards in primate prefrontal cortex
Kim, S., Hwang, J., Seo, H., & Lee, D. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.03.010 · Cited by 37
Dissociating the “retrieval success” regions of the brain: Effects of retrieval delay
Huijbers, W., Pennartz, C. M. A., & Daselaar, S. M. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.10.006 · Cited by 37
Approach–Avoidance Processes Contribute to Dissociable Impacts of Risk and Loss on Choice
Wright, N. D., Symmonds, M., Hodgson, K., FitzGerald, T. H. B., Crawford, B., & Dolan, R. J. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0049-12.2012 · Cited by 38
Domínguez-Zamora, F. J., Gunn, S. M., & Marigold, D. S. (2018) · Scientific Reports · doi:10.1038/s41598-018-32504-0 · Cited by 38
Multistage Valuation Signals and Common Neural Currencies
Platt, M. L., & Plaßmann, H. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00013-9 · Cited by 38
Self-citationCategory representation and generalization in the prefrontal cortex
Pan, X., & Sakagami, M. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07981.x · Cited by 38
Coding of Reward Probability and Risk by Single Neurons in Animals
Burke, C. J., & Tobler, P. N. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00121 · Cited by 42
Wolf, C., & Lappe, M. (2021) · Cognitive Neurodynamics · doi:10.1007/s11571-020-09661-y · Cited by 38
Effects of motivation on reward and attentional networks: an fMRI study
Ivanov, I., Liu, X., Clerkin, S. M., Schulz, K. P., Friston, K. J., Newcorn, J. H., & Fan, J. (2012) · Brain and Behavior · doi:10.1002/brb3.80 · Cited by 35
Saccade vigor and the subjective economic value of visual stimuli
Yoon, T., Jaleel, A., Ahmed, A. A., & Shadmehr, R. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00700.2019 · Cited by 33
Dialogue on economic choice, learning theory, and neuronal representations
Padoa‐Schioppa, C., & Schoenbaum, G. M. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.06.004 · Cited by 37
Neural signatures of intransitive preferences
Kalenscher, T. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00049 · Cited by 38
Reward association facilitates distractor suppression in human visual search
Gong, M., Yang, F., & Li, S. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13174 · Cited by 40
Context-dependent selection of visuomotor maps
Salinas, E. (2004) · BMC Neuroscience · doi:10.1186/1471-2202-5-47 · Cited by 37
Linking reward expectation to behavior in the basal ganglia
Gold, J. I. (2002) · Trends in Neurosciences · doi:10.1016/s0166-2236(02)00002-4 · Cited by 38
The Neurobiology of Context-Dependent Valuation and Choice
Louie, K., & Martino, B. D. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00024-3 · Cited by 41
Noorbaloochi, S., Sharon, D., & McClelland, J. L. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0017-15.2015 · Cited by 39
Lucas, N., Schwartz, S., Leroy, R. S., Pavin, S., Diserens, K., & Vuilleumier, P. O. (2013) · Cortex · doi:10.1016/j.cortex.2013.06.004 · Cited by 36
Internal signal correlates neural populations and biases perceptual decision reports
Carnevale, F., de Lafuente, V., Romo, R., & Parga, N. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216799109 · Cited by 35
Gain Mechanisms for Contextually Guided Visuomotor Transformations
Brozović, M., Gail, A., & Andersen, R. A. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2685-07.2007 · Cited by 35
Choice-theoretic foundations of the divisive normalization model
Steverson, K., Brandenburger, A. M., & Glimcher, P. W. (2019) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2019.05.026 · Cited by 39
Self-citationEvidence accumulation is biased by motivation: A computational account
Gęsiarz, F., Cahill, D., & Sharot, T. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007089 · Cited by 34
Mirpour, K., Ong, W. S., & Bisley, J. W. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00397.2010 · Cited by 38
Learning from other people's experience: A neuroimaging study of decisional interactive-learning
Canessa, N., Motterlini, M., Alemanno, F., Perani, D., & Cappa, S. F. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.065 · Cited by 35
The Computation and Comparison of Value in Goal-directed Choice
Rangel, A. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374176-9.00028-2 · Cited by 35
Neural Correlates of Direct Access Trading in a Real Stock Market: An fMRI Investigation
Raggetti, G., Ceravolo, M. G., Fattobene, L., & Dio, C. D. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00536 · Cited by 36
Prefrontal and Striatal Activity Related to Values of Objects and Locations
Kim, S., Cai, X., Hwang, J., & Lee, D. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00108 · Cited by 34
Costa, V. D., & Averbeck, B. B. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht286 · Cited by 34
Two subdivisions of macaque LIP process visual-oculomotor information differently
Chen, M., Li, B., Guang, J., Wei, L., Wu, S., Liu, Y., & Zhang, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1605879113 · Cited by 32
Romero, C. A., Compton, M. T., Yang, Y., & Snow, J. C. (2017) · Cortex · doi:10.1016/j.cortex.2017.11.010 · Cited by 32
A Neural Pathway for Nonreinforced Preference Change
Schönberg, T., & Katz, L. N. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.04.002 · Cited by 36
The hierarchical construction of value
O’Doherty, J. P., Rutishauser, U., & Iigaya, K. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.03.027 · Cited by 35
Limb apraxia and the “affordance competition hypothesis”
Rounis, E., & Humphreys, G. W. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00429 · Cited by 39
Confidence estimation as a stochastic process in a neurodynamical system of decision making
Wei, Z., & Wang, X. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00793.2014 · Cited by 32
Striatal topography of probability and magnitude information for decisions under uncertainty
Berns, G. S., & Bell, E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.008 · Cited by 36
Wealth, consumption and happiness
Ahuvia, A. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511490118.009 · Cited by 34
Behavioral Context and Coherent Oscillations in the Supplementary Motor Area
Lee, D. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.0047-04.2004 · Cited by 35
Cingulate neglect in humans: Disruption of contralesional reward learning in right brain damage
Lecce, F., Rotondaro, F., Bonnı̀, S., Carlesimo, G. A., de Schotten, M. T., Tomaiuolo, F., & Doricchi, F. (2014) · Cortex · doi:10.1016/j.cortex.2014.08.008 · Cited by 33
Integrating explanations of tax evasion and avoidance
Braithwaite, V. A., & Wenzel, M. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511490118.013 · Cited by 33
Brain activations associated with shifts in response criterion on a recognition test.
Miller, M. B., Handy, T. C., Cutler, J., Inati, S., & Wolford, G. (2001) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/h0087363 · Cited by 32
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
Liu, Y. S., Holmes, P. J., & Cohen, J. D. (2007) · Neural Computation · doi:10.1162/neco.2007.08-06-313 · Cited by 33
From biophysics to cognition: reward-dependent adaptive choice behavior
Soltani, A., & Wang, X. (2008) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2008.07.003 · Cited by 34
Converging Evidence for the Processing Costs Associated with Ambiguous Quantifier Comprehension
McMillan, C. T., Coleman, D., Clark, R., Liang, T., Gross, R. G., & Grossman, M. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00153 · Cited by 33
Multiple Systems for the Motivational Control of Behavior and Associated Neural Substrates in Humans
O’Doherty, J. P. (2015) · Current topics in behavioral neurosciences · doi:10.1007/7854_2015_386 · Cited by 33
Motor Preparatory Activity in Posterior Parietal Cortex is Modulated by Subjective Absolute Value
Iyer, A., Lindner, A., Kagan, I., & Andersen, R. A. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000444 · Cited by 32
Parietal Cortical Neuronal Activity Is Selective for Express Saccades
Chen, M., Liu, Y., Wei, L., & Zhang, M. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2675-12.2013 · Cited by 34
Sensorimotor Learning Biases Choice Behavior: A Learning Neural Field Model for Decision Making
Klaes, C., Schneegans, S., Schöner, G., & Gail, A. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002774 · Cited by 33
Hemodynamic and electrocortical reactivity to specific scene contents in emotional perception
Frank, D. W., & Sabatinelli, D. (2019) · Psychophysiology · doi:10.1111/psyp.13340 · Cited by 35
Distributed functions of prefrontal and parietal cortices during sequential categorical decisions
Zhou, Y., Rosen, M. C., Swaminathan, S. K., Masse, N. Y., Zhu, O., & Freedman, D. J. (2021) · eLife · doi:10.7554/elife.58782 · Cited by 34
Saccade vigor reflects the rise of decision variables during deliberation
Korbisch, C. C., Apuan, D. R., Shadmehr, R., & Ahmed, A. A. (2022) · Current Biology · doi:10.1016/j.cub.2022.10.053 · Cited by 32
Rowland, J. M., van der Plas, T. L., Loidolt, M., Lees, R. M., Keeling, J., Dehning, J., Akam, T., Priesemann, V., & Packer, A. M. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01413-5 · Cited by 36
Lynn, S. K., Wormwood, J. B., Barrett, L. F., & Quigley, K. S. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00952 · Cited by 39
Modeling Dynamic Perceptual Attention in Complex Virtual Environments
Kim, Y., van Velsen, M., & Hill, R. W. (2005) · Lecture notes in computer science · doi:10.1007/11550617_23 · Cited by 32
Cognitive-Emotion Interactions
Armony, J. L., & Vuilleumier, P. O. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9780511843716.018 · Cited by 33
Competition for Visual Selection in the Oculomotor System
Markowitz, D. A., Shewcraft, R. A., Wong, Y. T., & Pesaran, B. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0908-11.2011 · Cited by 32
Tosoni, A., Corbetta, M., Calluso, C., Committeri, G., Pezzulo, G., Romani, G. L., & Galati, G. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12511 · Cited by 33
Reward-Based Decision Signals in Parietal Cortex Are Partially Embodied
Kubanek, J., & Snyder, L. H. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4618-14.2015 · Cited by 33
Durazzo, T. C., Gazdzinski, S. P., Mon, A., & Meyerhoff, D. J. (2010) · Alcohol · doi:10.1016/j.alcohol.2010.03.003 · Cited by 33
Neural architecture of choice behaviour in a concurrent interval schedule
Kalenscher, T., Diekamp, B., & Güntürkün, O. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.03006.x · Cited by 34
Stark, H., Bischof, A., Wagner, T., & Scheich, H. (2000) · European Journal of Pharmacology · doi:10.1016/s0014-2999(00)00558-6 · Cited by 32
Dissociating early and late error signals in perceptual recognition
Wheeler, M. E., Petersen, S. E., Nelson, S. M., Ploran, E. J., & Velanova, K. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20155 · Cited by 30
Inferring eye position from populations of lateral intraparietal neurons
Graf, A. B. A., & Andersen, R. A. (2014) · eLife · doi:10.7554/elife.02813 · Cited by 32
van Wingerden, M., Vinck, M. A., Tijms, V., Ferreira, I. R. S., Jonker, A. J., & Pennartz, C. M. A. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.039 · Cited by 32
Eckstein, M. P., Schoonveld, W., Zhang, S., Mack, S. C., & Akbaş, E. (2015) · Vision Research · doi:10.1016/j.visres.2015.05.016 · Cited by 34
A Neural Correlate of Motivational Conflict in the Superior Colliculus of the Macaque
Isoda, M., & Hikosaka, O. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90275.2008 · Cited by 34
Zhou, H., & Thompson, K. G. (2008) · Vision Research · doi:10.1016/j.visres.2008.03.024 · Cited by 31
Neuronal Representations of Value
Platt, M. L., & Padoa‐Schioppa, C. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374176-9.00029-4 · Cited by 31
Self-citationParadoxical Decision-Making: A Framework for Understanding Cognition in Parkinson’s Disease
Perugini, A., Ditterich, J., Shaikh, A. G., Knowlton, B. J., & Basso, M. A. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.04.006 · Cited by 31
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review