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Representation of Accumulating Evidence for a Decision in Two Parietal Areas
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Decisions are often made by accumulating evidence for and against the alternatives. The momentary evidence represented by sensory neurons is accumulated by downstream structures to form a decision variable, linking the evolving decision to the formation of a motor plan. When decisions are communicated by eye movements, neurons in the lateral intraparietal area (LIP) represent the accumulation of evidence bearing on the potential targets for saccades. We now show that reach-related neurons from the medial intraparietal area (MIP) exhibit a gradual modulation of their firing rates consistent with the representation of an evolving decision variable. When decisions were communicated by saccades instead of reaches, decision-related activity was attenuated in MIP, whereas LIP neurons were active while monkeys communicated decisions by saccades or reaches. Thus, for decisions communicated by a hand movement, a parallel flow of sensory information is directed to parietal areas MIP and LIP during decision formation.
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“A DV in standard drift-diffusion model (DDM) (3–5, 7) (Fig. 4A) accumulates sensory evidence (drift), accompanied by stochastic internal or sensory noise (diffusion) that, when reaches either upper (correct trials) or lower (error trials) bound, produces a decision at RT.”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [5]
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“An important diagnostic signature of perceptual decision-making is the gradual accumulation of noise (5, 51) expected for most accumulation-to-bound decision models.”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [5]
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“indicating accumulation of stochastic trial-by-trial diffusion noise (5, 51).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [5]
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“We show that this variable is consistent with models of gradual accumulation of noisy sensory evidence to a decision bound.”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [5]
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“Here, close to the top of the cortical hierarchy, internal decision variables (DV) are accumulated in a form of ramping neural activity (3–6) that is transformed into a decision when a decision boundary is reached (7).”
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“In what follows we argue the neural activity ramp during epoch 4 is consistent with a bounded integration mechanism of decision-making (3–5, 7).”
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“When VarCE is calculated from residuals (5, 51) (Materials and Methods), it is similar (Fig. 4G, black) showing linear increase between decision onset (Fig. 4G, up arrow) and decision termination (Fig. 4G, down arrow) times.”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [5]
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“Overall, VarCE exhibits a linear increase during epoch 4, a characteristic signature of diffusion process consistent with an accumulation-to-bound model (5, 51).”
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“The calculated (Materials and Methods) CorCE matrix (Fig. 4J) indeed exhibits characteristic increase of correlation as a function of time and, for given time (e.g., along the top row), shows sequential decay as often observed (5, 51) during decision-making.”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [5]
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ResultSelf-citationChanges of mind in decision-making
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“The random-dot motion task is useful for studying this process because (1) its solution requires integration of evidence across space and time and (2) a neural representation of the momentary evidence has been established in areas MT and MST (Salzman et al., 1990; Celebrini and Newsome, 1994; Ditterich et al., 2003).”
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BackgroundResultInfluentialThe Basal Ganglia’s Contributions to Perceptual Decision Making
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“In monkeys trained to discriminate the direction of motion in a dynamic random-dot display, neural correlates of evidence accumulation (Shadlen and Newsome, 1996; Huk and Shadlen, 2005), value (Platt and Glimcher, 1999; Rorie et al., 2010), probability (Yang and Shadlen, 2007), and confidence (Kiani and Shadlen, 2009)…”
BackgroundInfluentialA Deficit in Covert Attention after Parietal Cortex Inactivation in the Monkey
Wardak, C., Olivier, E., & Duhamel, J. (2004) · Neuron · doi:10.1016/s0896-6273(04)00185-0 · Cited by 186 · cited 1×
“…during reach movements has been interpreted in the past as a sign of allocation of spatial attention (Robinson et al., 1978; Bushnell et al., 1981; Wardak et al., 2004) and also as reflecting covert eye movements that might occur were the monkeys not required to hold fixation away from the reach…”
BackgroundSnyder, L. H., Batista, A. P., & Andersen, R. A. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.5.2814 · Cited by 154 · cited 1×
“…a sign of allocation of spatial attention (Robinson et al., 1978; Bushnell et al., 1981; Wardak et al., 2004) and also as reflecting covert eye movements that might occur were the monkeys not required to hold fixation away from the reach target (Snyder et al., 1997, 1998; Colby and Goldberg, 1999).”
BackgroundTarget Selection Signals for Arm Reaching in the Posterior Parietal Cortex
Scherberger, H., & Andersen, R. A. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4274-06.2007 · Cited by 150 · cited 3×
“, 1999; Eskandar and Assad, 1999), as well as the outcome of decisions to direct the arm in a particular direction (Snyder et al., 1997; Eskandar and Assad, 1999; Scherberger and Andersen, 2007; Pesaran et al., 2008).”
BackgroundResultIntention and attention: different functional roles for LIPd and LIPv
Liu, Y., Yttri, E. A., & Snyder, L. H. (2010) · Nature Neuroscience · doi:10.1038/nn.2496 · Cited by 128 · cited 1×
“It is also important to note that our experiments were not designed to test effector specificity, and our results might be specific to LIPv and anterior MIP (Liu et al., 2010).”
ResultLateral Intraparietal Cortex and Reinforcement Learning during a Mixed-Strategy Game
Seo, H., Barraclough, D. J., & Lee, D. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1479-09.2009 · Cited by 125 · cited 2×
“In particular, LIP is known to represent the accumulated evidence, combined with other factors that affect the decision, such as the previous probability, value, and costs associated with the alternatives (Seo et al., 2009; Rorie et al., 2010; Hanks et al., 2011; Drugowitsch et al., 2012).”
BackgroundTsetsos, K., Gao, J., McClelland, J. L., & Usher, M. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00079 · Cited by 114 · cited 1×
“The model, which assumes perfect integration of evidence to a threshold or bound, has been shown to account for the rate of improvement in accuracy as a function of both variables (Kiani et al., 2008; Tsetsos et al., 2012).”
BackgroundDifferent Representations of Potential and Selected Motor Plans by Distinct Parietal Areas
Cui, H., & Andersen, R. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6247-10.2011 · Cited by 106 · cited 1×
“Indeed, careful reading of studies that support motor specialization (Snyder et al., 1997; Cui and Andersen, 2011) attests to only a relative preference for modality, as these investigators have emphasized (Andersen and Cui, 2009).”
BackgroundInactivation of the Parietal Reach Region Causes Optic Ataxia, Impairing Reaches but Not Saccades
Hwang, E. J., Hauschild, M., Wilke, M., & Andersen, R. A. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.030 · Cited by 95 · cited 1×
“The absence of a visual response to the onset of visual targets is consistent with the anterior location of our recordings in MIP, possibly at the border of MIP/5v (Hwang et al., 2012).”
ResultA general mechanism for decision-making in the human brain?
Rorie, A. E., & Newsome, W. T. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.12.007 · Cited by 80 · cited 1×
“…analysis of sensory information occurs in circuits associated with provisional behavioral responses to stim- uli (Schall, 2001; Romo et al., 2004; Rorie and Newsome, 2005; Gold and Shadlen, 2007; Lemus et al., 2007; Andersen and Cui, 2009; Cisek and Kalaska, 2010; Hernández et al., 2010;…”
BackgroundThe Cortical Timeline for Deciding on Reach Motor Goals
Westendorff, S., Klaes, C., & Gail, A. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4628-09.2010 · Cited by 67 · cited 1×
“…2004; Rorie and Newsome, 2005; Gold and Shadlen, 2007; Lemus et al., 2007; Andersen and Cui, 2009; Cisek and Kalaska, 2010; Hernández et al., 2010; Westendorff et al., 2010), which has been termed an intentional—as opposed to representational—framework for information processing (Shadlen et…”
BackgroundNeural correlates of a postponed decision report
Lemus, L., Hernández, A., Luna, R., Zainos, A., Nácher, V., & Romo, R. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707961104 · Cited by 63 · cited 1×
“…associated with provisional behavioral responses to stim- uli (Schall, 2001; Romo et al., 2004; Rorie and Newsome, 2005; Gold and Shadlen, 2007; Lemus et al., 2007; Andersen and Cui, 2009; Cisek and Kalaska, 2010; Hernández et al., 2010; Westendorff et al., 2010), which has been termed an…”
BackgroundEstimation of nonlinear psychophysical kernels.
Neri, P. (2004) · Journal of Vision · doi:10.1167/4.2.2 · Cited by 54 · cited 3×
“To quantify the influence of these fluctuations on the monkeys’ choices, we extracted the motion energy profile (Adelson and Bergen, 1985; Neri, 2004; Kiani et al., 2008; Resulaj et al., 2009) as a function of time from the dis- play of each trial, applying a sign convention such that positive…”
BackgroundMethodChanges in Neural Connectivity Underlie Decision Threshold Modulation for Reward Maximization
Green, N., Biele, G., & Heekeren, H. R. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0573-12.2012 · Cited by 32 · cited 2×
“…and not about the plan of action used to communicate the choice, yet our decisions are governed by an evidence accumulation process similar to the one studied in monkeys (Smith and Ratcliff, 2004; Palmer et al., 2005; Philiastides et al., 2006; Green et al., 2012; O’Connell et al., 2012).”
ResultSpeed adaptation in macaque MT
Krekelberg, B., Wezel, R. V., & Albright, T. (2004) · doi:10.1167/4.8.82 · Cited by 1
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Cited by
Sorted by citations
Active inference: a process theory
Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., & Pezzulo, G. (2017) · Neural Computation · doi:10.1162/neco_a_00912 · Cited by 1,156
“…formally identical to evidence accumulation described by drift diffusion or race-to-bound models (Solway & Botvinick, 2012; Zhang & Maloney, 2012; de Lafuente et al., 2015; Kira et al., 2015) and nicely recapitulates the emergence of a choice as evaluation of options proceeds (Hunt et al., 2012).”
BackgroundThe graphical brain: Belief propagation and active inference
Friston, K. J., Parr, T., & de Vries, B. (2017) · Network Neuroscience · doi:10.1162/netn_a_00018 · Cited by 415
“This formulation also has some construct validity in relation to theoretical proposals and empirical work on evidence accumulation (de Lafuente, Jazayeri, & Shadlen, 2015; Kira, Yang, & Shadlen, 2015) and the neuronal encoding of probabilities (Deneve, 2008).”
BackgroundNavigating the Neural Space in Search of the Neural Code
Jazayeri, M., & Afraz, A. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.019 · Cited by 240
“Movements with fine temporal structure, cognitive functions such as deliberation and integration (de Lafuente et al., 2015; Hanks et al., 2015;Merchant and Georgopoulos, 2006; Roitman and Shadlen, 2002; Shadlen and Gold, 2004; Thura and Cisek, 2014), and behaviors that depend on knowledge of…”
Self-citationBridging Neural and Computational Viewpoints on Perceptual Decision-Making
O’Connell, R. G., Shadlen, M. N., Wong‐Lin, K., & Kelly, S. P. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.06.005 · Cited by 217
“, [74]) In many of the decisions subjects face in their daily life, LIP, in fact, may not have a role at all.”
Self-citationUnraveling circuits of visual perception and cognition through the superior colliculus
Basso, M. A., Bickford, M. E., & Cang, J. (2021) · Neuron · doi:10.1016/j.neuron.2021.01.013 · Cited by 240
Metadata
- Authors
- de Lafuente, V., Jazayeri, M., & Shadlen, M. N.
- Affiliations
- McGovern Institute for Brain Research (US)
- Howard Hughes Medical Institute (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2015-03-11
- Volume
- 35
- Issue
- 10
- Pages
- 4306-4318
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4355201
- OpenAlex
- W2090544951
- Cited by
- 162
- References
- 74
- Citations by year
- 2026: 3 · 2025: 13 · 2024: 15 · 2023: 11 · 2022: 17 · 2021: 17 · 2020: 14 · 2019: 14 · 2018: 12 · 2017: 18 · 2016: 21 · 2015: 7
- FWCI
- 11.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- decision-making, evidence accumulation, lateral intraparietal area, saccades, reach-to-grasp, decision variables, parietal cortex, eye movements, motor planning, parallel computing, firing rate modulation
- MeSH terms
- Action Potentials, Animals, Decision Making, Discrimination, Psychological, Eye Movements, Judgment, Functional Laterality, Macaca mulatta, Magnetic Resonance Imaging, Male, Motion Perception, Neurons, Parietal Lobe, Photic Stimulation, Psychometrics, Psychomotor Performance, Psychophysics, Time Factors
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