Representation of accumulating evidence for a decision in two parietal areas
Open accessAbstract
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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In the standard drift-diffusion model, a decision variable accumulates sensory evidence with stochastic noise and produces a decision at reaction time when it reaches either the upper or lower bound.
“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]
In “Neural recording” (page unavailable), the paper describes a decision variable with a sensory-evidence drift term, Wiener-process noise, and symmetric bounds at which a decision terminates. It does not equate bound crossing with the observed reaction time: in this task, a choice can also be determined when the stimulus ends without a bound being reached. The passage defines the bounds by choice direction, not as upper for correct trials and lower for errors. (LLM, conf=0.86)
Experimental — accuracy not yet measuredA gradual accumulation of noise is an important diagnostic signature of perceptual decision-making expected for most accumulation-to-bound decision models.
“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]
The Discussion describes evolving firing-rate variance and autocorrelation as evidence of accumulated signal and noise. The section “A diffusion-like mechanism” says increasing variance is expected from diffusion and uses it as a test. The paper supports this diagnostic signature for diffusion-like accumulation, but does not establish that it is expected for most accumulation-to-bound models. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThe fast increase in VarCE indicates accumulation of stochastic trial-by-trial diffusion noise.
“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]
In “A diffusion-like mechanism” (page unavailable), the paper says VarCE should increase with time if firing rates reflect accumulation of noisy evidence. It reports approximately linear increases in LIP for both block types and in MIP for reach blocks, but not in MIP for saccade blocks. It does not characterize the increase as fast, and the inference is conditional rather than universal. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThe single latent variable is consistent with models of gradual accumulation of noisy sensory evidence to a decision bound.
“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]
Internal decision variables are accumulated as ramping neural activity and transformed into a decision when a decision boundary is reached.
“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).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [5]
The neural activity ramp during epoch 4 is consistent with a bounded integration mechanism of decision-making.
“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).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [5]
VarCE calculated from residuals is similar and shows a linear increase between decision onset and decision termination times.
“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]
Overall, VarCE exhibits a linear increase during epoch 4, a characteristic signature of a diffusion process consistent with an accumulation-to-bound model.
“Overall, VarCE exhibits a linear increase during epoch 4, a characteristic signature of diffusion process consistent with an accumulation-to-bound model (5, 51).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [5]
The calculated CorCE matrix exhibits a characteristic increase of correlation as a function of time and, for a given time, shows sequential decay as often observed during decision-making.
“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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“7, insets), consistent with the hypothesis that the firing rates represent the accumulated difference in motion evidence from opposing pools of motion-sensing neurons, such as those in middle temporal area MT (Shadlen and Newsome, 1996, 2001; Mazurek et al., 2003; Huk and Shadlen, 2005).”
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“…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).”
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“…of objects that are potential targets of reach movements (Mountcastle et al., 1975; Johnson et al., 1996; Snyder et al., 1997; Batista et al., 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,…”
BackgroundResultInfluentialDeliberation in the Motor System: Reflex Gains Track Evolving Evidence Leading to a Decision
Selen, L. P. J., Shadlen, M. N., & Wolpert, D. M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5273-11.2012 · Cited by 204 · cited 3× · see citing works
“Moreover, the accumulating sensory evidence that will ultimately support one or the other choice—an evolving decision variable— has been shown to flow continuously to motor structures in the human brain much as it does in monkeys (McKinstry et al., 2008; Selen et al., 2012; Ding and Gold, 2013).”
BackgroundSelf-citationThe Basal Ganglia’s Contributions to Perceptual Decision Making
Ding, L., & Gold, J. I. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.042 · Cited by 201 · cited 1× · see citing works
“Moreover, the accumulating sensory evidence that will ultimately support one or the other choice—an evolving decision variable— has been shown to flow continuously to motor structures in the human brain much as it does in monkeys (McKinstry et al., 2008; Selen et al., 2012; Ding and Gold, 2013).”
BackgroundRorie, A. E., Gao, J., McClelland, J. L., & Newsome, W. T. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009308 · Cited by 195 · cited 4× · see citing works
“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× · see citing works
“…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 151 · cited 1× · see citing works
“…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 148 · cited 3× · see citing works
“, 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.-Q., Yttri, E., & Snyder, L. (2010) · Nature Neuroscience · doi:10.1038/nn.2496 · Cited by 130 · cited 1× · see citing works
“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× · see citing works
“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× · see citing works
“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 98 · cited 1× · see citing works
“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 92 · cited 1× · see citing works
“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 77 · cited 1× · see citing works
“…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 63 · cited 1× · see citing works
“…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 62 · cited 1× · see citing works
“…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 30 · cited 2× · see citing works
“…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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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 · see citing works
“…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 · see citing works
“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 227 · see citing works
“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 214 · see citing works
“, [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 229 · see citing works
Scene Construction, Visual Foraging, and Active Inference
Mirza, M. B., Adams, R. A., Mathys, C. D., & Friston, K. J. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00056 · Cited by 165 · see citing works
Posterior parietal cortex plays a causal role in perceptual and categorical decisions
Zhou, Y., & Freedman, D. J. (2019) · Science · doi:10.1126/science.aaw8347 · Cited by 139 · see citing works
Representational geometry of perceptual decisions in the monkey parietal cortex
Okazawa, G., Hatch, C. E., Mancoo, A., Machens, C. K., & Kiani, R. (2021) · Cell · doi:10.1016/j.cell.2021.05.022 · Cited by 111 · see citing works
Generalization of prior information for rapid Bayesian time estimation
Roach, N. W., McGraw, P. V., Whitaker, D., & Heron, J. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1610706114 · Cited by 108 · see citing works
“Moreover, decision-related activity has been shown to occur in parallel in areas associated with different motor responses (44-46).”
BackgroundFunctional dissection of signal and noise in MT and LIP during decision-making
Yates, J. L., Park, I. M., Katz, L. N., Pillow, J. W., & Huk, A. C. (2017) · Nature Neuroscience · doi:10.1038/nn.4611 · Cited by 116 · see citing works
Motor and Predictive Processes in Auditory Beat and Rhythm Perception
Proksch, S., Comstock, D. C., Médé, B., Pabst, A., & Balasubramaniam, R. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.578546 · Cited by 64 · see citing works
Generative models, linguistic communication and active inference
Friston, K. J., Parr, T., Yufik, Y. M., Sajid, N., Price, C. J., & Holmes, E. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.005 · Cited by 113 · see citing works
Laminar differences in decision-related neural activity in dorsal premotor cortex
Chandrasekaran, C., Peixoto, D., Newsome, W. T., & Shenoy, K. V. (2017) · Nature Communications · doi:10.1038/s41467-017-00715-0 · Cited by 98 · see citing works
Coherent neuronal ensembles are rapidly recruited when making a look-reach decision
Wong, Y. T., Fabiszak, M. M., Novikov, Y., Daw, N. D., & Pesaran, B. (2016) · Nature Neuroscience · doi:10.1038/nn.4210 · Cited by 102 · see citing works
Coallier, É., Michelet, T., & Kalaska, J. F. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00166.2014 · Cited by 88 · see citing works
Neural precursors of decisions that matter—an ERP study of deliberate and arbitrary choice
Maoz, U., Yaffe, G., Koch, C., & Mudrik, L. (2019) · eLife · doi:10.7554/elife.39787 · Cited by 87 · see citing works
Tagliabue, C. F., Veniero, D., Benwell, C., Cecere, R., Savazzi, S., & Thut, G. (2019) · Scientific Reports · doi:10.1038/s41598-019-41024-4 · Cited by 150 · see citing works
Twomey, D. M., Kelly, S. P., & O’Connell, R. G. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4162-15.2016 · Cited by 107 · see citing works
“…activity that discriminates the categorical alternatives even when the appropriate stimulus– response mapping is withheld until a response cue (Freedman and Assad, 2006; Bennur and Gold, 2011) or when hand movements are used to report decisions instead of saccades (de Lafuente et al., 2015).”
BackgroundFunctional definitions of parietal areas in human and non-human primates
Orban, G. A. (2016) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2016.0118 · Cited by 94 · see citing works
Balcı, F., & Simen, P. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.02.002 · Cited by 95 · see citing works
Jun, E. J., Bautista, A. R., Nunez, M. D., Allen, D. C., Tak, J. H., Alvarez, E. T., & Basso, M. A. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00878-6 · Cited by 93 · see citing works
Visual Decision-Making in an Uncertain and Dynamic World
Gold, J. I., & Stocker, A. A. (2017) · Annual Review of Vision Science · doi:10.1146/annurev-vision-111815-114511 · Cited by 100 · see citing works
Caminiti, R., Borra, E., Visco‐Comandini, F., Battaglia‐Mayer, A., Averbeck, B. B., & Luppino, G. (2017) · eNeuro · doi:10.1523/eneuro.0306-16.2017 · Cited by 74 · see citing works
“Interestingly, during accumulation of decision variables, neural activity in LIP is modulated when the decision outcome is not only a saccade, but also a reaching movement (de Lafuente et al., 2015).”
BackgroundInfluentialDifferentiating between integration and non-integration strategies in perceptual decision making
Stine, G. M., Zylberberg, A. D., Ditterich, J., & Shadlen, M. N. (2020) · eLife · doi:10.7554/elife.55365 · Cited by 88 · see citing works
Self-citationThe Role of the Lateral Intraparietal Area in (the Study of) Decision Making
Huk, A. C., Katz, L. N., & Yates, J. L. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031508 · Cited by 72 · see citing works
“These areas include the frontal eye fields (Ding & Gold 2012a, Gold & Shadlen 2000, Kim & Shadlen 1999), the parietal reach region (de Lafuente et al. 2015), and subcortical structures such as the superior colliculus (Horwitz & Newsome 1999) and the caudate nucleus (Ding & Gold 2010, 2012b).”
BackgroundIntegrated neural dynamics of sensorimotor decisions and actions
Thura, D., Cabana, J., Feghaly, A., & Cisek, P. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001861 · Cited by 83 · see citing works
Direct observation of the neural computations underlying a single decisionPreprint
Steinemann, N. A., Stine, G. M., Trautmann, E. M., Zylberberg, A., Wolpert, D., & Shadlen, M. (2024) · bioRxiv · doi:10.1101/2022.05.02.490321 · Cited by 60 · see citing works
“This is surprising, but it could be explained by lack of power—a combination of small numbers of M in neurons, narrow sample windows (50 ms boxcar) and the focus on the long RT trials.”
BackgroundSelf-citationNeural Mechanisms That Make Perceptual Decisions Flexible
Okazawa, G., & Kiani, R. (2022) · Annual Review of Physiology · doi:10.1146/annurev-physiol-031722-024731 · Cited by 77 · see citing works
“This question can be answered with tasks in which subjects report the outcome of the same sensory discrimination through different motor actions (78, 79, 85–87).”
BackgroundInfluentialLakshminarasimhan, K. J., Avila, E., Neyhart, E., DeAngelis, G., Pitkow, X., & Angelaki, D. (2019) · bioRxiv · doi:10.1101/689786 · Cited by 58
“Consistent with this interpretation, there is overwhelming evidence for decision-related responses in primate oculomotor brain areas (de Lafuente et al., 2015; Shadlen and Newsome, 1996), and such responses are thought to drive eye movements (Joo et al., 2016).”
BackgroundFetsch, C. R., Odean, N. N., Jeurissen, D., El-Shamayleh, Y., Horwitz, G. D., & Shadlen, M. N. (2018) · eLife · doi:10.7554/elife.36523 · Cited by 74 · see citing works
Self-citationPiercing of Consciousness as a Threshold-Crossing Operation
Kang, Y. H., Petzschner, F. H., Wolpert, D. M., & Shadlen, M. N. (2017) · Current Biology · doi:10.1016/j.cub.2017.06.047 · Cited by 87 · see citing works
“Presumably, the decision to report and the decision to move are not the same process, just as the decision to report with a saccade or a reach movement is subserved by different circuits [27, 28].”
Self-citationZoltowski, D. M., Latimer, K. W., Yates, J. L., Huk, A., & Pillow, J. (2018) · bioRxiv · doi:10.1101/433458 · Cited by 48
Gallivan, J. P., & Goodale, M. A. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63622-5.00023-1 · Cited by 66 · see citing works
Entrainment and maintenance of an internal metronome in supplementary motor area
Cadena-Valencia, J., García‐Garibay, O., Merchant, H., Jazayeri, M., & de Lafuente, V. (2018) · eLife · doi:10.7554/elife.38983 · Cited by 52 · see citing works
Self-citationWang, M., Montanède, C., Chandrasekaran, C., Peixoto, D., Shenoy, K. V., & Kalaska, J. F. (2019) · Nature Communications · doi:10.1038/s41467-019-09460-y · Cited by 39 · see citing works
“…brain areas associated with operantly-conditioned motor responses in sensorimotor decision-making processes leading to action choices (Brody and Hanks, 2016; de Lafuente et al., 2015; Glimcher, 2001; Huda et al., 2018; Roitman and Shadlen, 2002; Romo et al., 2004; Shadlen and Newsome, 1996).”
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 40 · see citing works
“We first established the presence of firing-rate encoding of choice and the temporal structure of the neuronal activity in the PPC (11, 32, 35) before testing whether and how decision coding varies with the temporal structure of neuronal activity.”
MethodLatimer, K. W., Yates, J. L., Meister, M. L. R., Huk, A. C., & Pillow, J. W. (2016) · Science · doi:10.1126/science.aad3596 · Cited by 11 · see citing works
Self-citationHadjidimitrakis, K., Bó, G. D., Breveglieri, R., Galletti, C., & Fattori, P. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00486.2015 · Cited by 42 · see citing works
Riemer, M., Diersch, N., Bublatzky, F., & Wolbers, T. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.030 · Cited by 40
Evidence accumulation as a model for lexical selection
Anders, R., Riès, S., van Maanen, L., & Alario, F. ‐. (2015) · Cognitive Psychology · doi:10.1016/j.cogpsych.2015.07.002 · Cited by 42 · see citing works
Parieto-frontal networks for eye–hand coordination and movements
Battaglia‐Mayer, A., & Caminiti, R. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63622-5.00026-7 · Cited by 40 · see citing works
Sensory Evidence Accumulation Using Optic Flow in a Naturalistic Navigation Task
Alefantis, P., Lakshminarasimhan, K. J., Avila, E., Noel, J., Pitkow, X., & Angelaki, D. E. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.2203-21.2022 · Cited by 32 · see citing works
“…over time (e.g. random dot kinematograms) (de Bruyn & Orban, 1988; Glass & Pérez, 1973; Snowden & Braddick, 1990; Watanabe & Kikuchi, 2006; de Lafuente et al., 2015; Gold & Shadlen, 2000; Kim & Shadlen, 1999; Liu & Pleskac, 2011; Drugowitsch et al., 2015; Gu et al., 2008; Hou et al.,…”
Perceptual Decision-Making: A Field in the Midst of a Transformation
Najafi, F., & Churchland, A. K. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.017 · Cited by 37 · see citing works
Relating accumulator model parameters and neural dynamics
Purcell, B. A., & Palmeri, T. J. (2016) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2016.07.001 · Cited by 42 · see citing works
Sequential sampling from memory underlies action selection during abstract decision making
Shushruth, S., Zylberberg, A., & Shadlen, M. (2021) · bioRxiv · doi:10.1101/2021.04.30.442176 · Cited by 33
Self-citationA leaky evidence accumulation process for perceptual experience
Pereira, M., Perrin, D., & Faivre, N. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.03.003 · Cited by 52 · see citing works
Fetsch, C. R. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.12.002 · Cited by 26 · see citing works
Bakola, S., Passarelli, L., Huynh, T., Impieri, D., Worthy, K. H., Fattori, P., Galletti, C., Burman, K. J., & Rosa, M. G. P. (2017) · eNeuro · doi:10.1523/eneuro.0344-17.2017 · Cited by 30 · see citing works
Shushruth, S., Mazurek, M. E., & Shadlen, M. N. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0668-18.2018 · Cited by 45 · see citing works
Self-citationDistinct dynamics of ramping activity in the frontal cortex and caudate nucleus in monkeys
Ding, L. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00395.2015 · Cited by 32 · see citing works
“It has been especially useful as a signature of neural computations related to temporal accumulation in the context of decision making (Churchland et al. 2011; de Lafuente et al. 2015; Marcos et al. 2013).”
BackgroundMohan, K., Zhu, O., & Freedman, D. J. (2020) · bioRxiv · doi:10.1101/2020.08.20.259820 · Cited by 27
Decision formation in parietal cortex transcends a fixed frame of reference
So, N., & Shadlen, M. (2022) · bioRxiv · doi:10.1101/2022.02.16.478899 · Cited by 25
“For example, the representation of an object relative to the hand could be achieved in parietal cortex using neurons that represent hand displacement in an oculocentric FoR (see Snyder et al., 1997; Batista, 1999; de Lafuente et al., 2015; Stuphorn et al., 2000).”
Self-citationKang, Y. H., Löffler, A., Jeurissen, D., Zylberberg, A. D., Wolpert, D. M., & Shadlen, M. N. (2021) · eLife · doi:10.7554/elife.63721 · Cited by 44 · see citing works
Self-citationConfidence Representation of Perceptual Decision by EEG and Eye Data in a Random Dot Motion Task
Shooshtari, S. V., Esmaily, J., Azizi, Z. R., & Ebrahimpour, R. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.03.031 · Cited by 30 · see citing works
Manning, C., Hassall, C. D., Hunt, L. T., Norcia, A. M., Wagenmakers, E., Snowling, M. J., Scerif, G., & Evans, N. J. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1232-21.2021 · Cited by 34 · see citing works
“…suggest that differences in dyslexia arise because of the efficiency with which evidence is extracted from global motion stimuli and integrated toward a decision bound, which is often attributed to parietal areas (Shadlen and Newsome, 1996, 2001; Hanks et al., 2006; de Lafuente et al., 2015).”
Ramp-to-threshold dynamics in a hindbrain population controls the timing of spontaneous saccades
Ramirez, A. D., & Aksay, E. R. F. (2021) · Nature Communications · doi:10.1038/s41467-021-24336-w · Cited by 24 · see citing works
Perceptual Decision-Making in Children: Age-Related Differences and EEG Correlates
Manning, C., Wagenmakers, E., Norcia, A. M., Scerif, G., & Boehm, U. (2020) · Computational Brain & Behavior · doi:10.1007/s42113-020-00087-7 · Cited by 25 · see citing works
“Future work could also investigate whether children ’ s responses may be captured better by models which incorporate urgency signals or collapsing boundaries (Cisek et al. 2009; Chandrasekaran and Hawkins 2019; Ditterich 2006; Hawkins et al. 2015).”
BackgroundConfidence through consensus: a neural mechanism for uncertainty monitoring
Paz, L., Insabato, A., Zylberberg, A., Deco, G., & Sigman, M. (2016) · Scientific Reports · doi:10.1038/srep21830 · Cited by 24 · see citing works
Nurislamova, Y. M., Александрович, Н. Н., Alexandrovna, Z. N., & Chernyshev, B. (2019) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00014 · Cited by 20 · see citing works
Inferring decoding strategies for multiple correlated neural populations
Lakshminarasimhan, K. J., Pouget, A., DeAngelis, G. C., Angelaki, D. E., & Pitkow, X. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006371 · Cited by 18 · see citing works
“Time-varying weights have been shown to better predict animals’ choice in certain tasks [46], and psychophysical kernels are sometimes skewed towards one end of the trial[47,48], suggesting that decoding could also be suboptimal in time.”
BackgroundDecision-related perturbations of decision-irrelevant eye movements
Joo, S. J., Katz, L. N., & Huk, A. C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520309113 · Cited by 20 · see citing works
Vich, C., Clapp, M., Rubin, J. E., & Verstynen, T. D. (2021) · bioRxiv · doi:10.1371/journal.pcbi.1010255 · Cited by 19
A Two-Stage Process Model of Sensory Discrimination: An Alternative to Drift-Diffusion
Sun, P., & Landy, M. S. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1367-16.2016 · Cited by 21 · see citing works
“…cortex (Gold and Shadlen, 2001; Shadlen and Newsome, 2001; Roitman and Shadlen, 2002; Yang and Shadlen, 2007; Kiani et al., 2008; Meister et al., 2013; Park et al., 2014; de Lafuente et al., 2015; Shadlen et al., 2016) and the frontal eye fields (Gold and Shadlen, 2000, 2003; Ding and Gold, 2012).”
BackgroundBattaglia-Mayer, A. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhx354 · Cited by 18 · see citing works
“Finally, a recent elegant study on the formation of motor intentions for reaches versus saccades in MIP and LIP (de Lafuente et al. 2015) has shown that the gradual accumulation of information about decision signals in the activity of neurons in MIP leads to the formation motor intentions for a…”
Population dynamics of choice representation in dorsal premotor and primary motor cortexPreprint
Peixoto, D., Kiani, R., Chandrasekaran, C., Ryu, S. I., Shenoy, K. V., & Newsome, W. T. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/283960 · Cited by 14 · see citing works
“The median latencies for PMd were significantly shorter than for M1 (Wilcoxon rank sum test, p 0.001) and were similar to other reports of decision-related signals in PMd (Thura and Cisek, 2014, Chandrasekaran et al., 2017) and MIP (de Lafuente et al., 2015).”
BackgroundResultInfluentialGherman, S., Markowitz, N., Tostaeva, G., Espinal, E., Mehta, A. D., O’Connell, R. G., Kelly, S. P., & Bickel, S. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01824-9 · Cited by 31 · see citing works
“…these sites is consistent with a process of evidence accumulation, building gradually over time at a rate that is proportional to the strength of the sensory information, reaching a fixed threshold just before a response is made, and reliably predicting the animal’s choice and response time 1–6 .”
Modelling behaviors relevant to brain disorders in the nonhuman primate: Are we there yet?
Scott, J. T., & Bourne, J. A. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102183 · Cited by 29 · see citing works
Distributed functions of prefrontal and parietal cortices during sequential categorical decisionsPreprint
Zhou, Y., Rosen, M. C., Swaminathan, S. K., Masse, N. Y., Zhu, O., & Freedman, D. J. (2020) · bioRxiv · doi:10.1101/2020.05.21.108910 · Cited by 17 · see citing works
“The lateral PFC, LIP and MIP are important processing stages for mediating decision-making tasks (de Lafuente et al., 2015; Ding and Gold, 2012; Gold and Shadlen, 2007; Huk et al., 2017; Kim and Shadlen, 1999; Padoa-Schioppa and Assad, 2006; Platt and Glimcher, 1999; Rossi-Pool et al., 2017;…”
BackgroundCause for pause before leaping to conclusions about steppingPreprint
Zylberberg, A., & Shadlen, M. N. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/085886 · Cited by 15 · see citing works
“In another brain area it might represent a plan to do something else, such as reach [9, 19] or implement a rule [20], perhaps.”
BackgroundSelf-citationMagri, C., Fabbri, S., Caramazza, A., & Lingnau, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.029 · Cited by 15 · see citing works
Network Configurations in the Human Brain Reflect Choice Bias during Rapid Face Processing
Tu, T., Schneck, N., Muraskin, J., & Sajda, P. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1677-17.2017 · Cited by 10 · see citing works
“A variety of neuroimaging studies have already demonstrated their roles in decision making (Heekeren et al., 2004, 2008; Philiastides and Sajda, 2007; Ruff et al., 2010; de Lafuente et al., 2015; Lamichhane et al., 2016).”
BackgroundUnified neural dynamics of decisions and actions in the cerebral cortex and basal gangliaPreprint
Thura, D., Cabana, J.-F., Feghaly, A., & Cisek, P. (2020) · bioRxiv · doi:10.1101/2020.10.22.350280 · Cited by 13 · see citing works
Evidence accumulation under uncertainty – a neural marker of emerging choice and urgency
Parés-Pujolràs, E., Travers, E., Ahmetoglu, Y., & Haggard, P. (2020) · bioRxiv · doi:10.1101/2020.06.30.179622 · Cited by 13
Dixon-Gordon, K., Tull, M., Hackel, L., & Gratz, K. L. (2018) · Journal of Personality Disorders · doi:10.1521/pedi_2017_31_299 · Cited by 13 · see citing works
Gaze Bias Differences Capture Individual Choice BehaviorPreprint
Thomas, A. W., Molter, F., Krajbich, I., Heekeren, H., & Mohr, P. N. C. (2017) · bioRxiv · doi:10.1101/228825 · Cited by 13 · see citing works
Parieto-frontal gradients and domains underlying eye and hand operations in the action space
Battaglia‐Mayer, A., Babicola, L., & Satta, E. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.07.009 · Cited by 16 · see citing works
Secondary motor integration as a final arbiter in sensorimotor decision-making
Balsdon, T., Verdonck, S., Loossens, T., & Philiastides, M. G. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002200 · Cited by 14 · see citing works
Mudrik, L., Levy, D. J., Gavenas, J., & Maoz, U. (2019) · Psychology of Consciousness Theory Research and Practice · doi:10.1037/cns0000200 · Cited by 15 · see citing works
Cognition in Sensorimotor Control: Interfacing With the Posterior Parietal Cortex
Chivukula, S., Jafari, M., Aflalo, T., Yong, N. A., & Pouratian, N. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00140 · Cited by 14 · see citing works
Ramp-to-Threshold Dynamics in a Hindbrain Population Controls the Timing of Spontaneous SaccadesPreprint
Ramirez, A. D., & Aksay, E. R. F. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/430645 · Cited by 1 · see citing works
Archerfish fast-start decisions can take an additional variable into account
Reinel, C. P., & Schuster, S. (2016) · Journal of Experimental Biology · doi:10.1242/jeb.136812 · Cited by 12 · see citing works
“…have been confirmed in a simple but well-controlled perceptual task that by now has become the classical model of decision-making: the saccadic decisions made by appropriately trained monkeys (e.g. Palmer et al., 2005; Shadlen and Kiani, 2013; Kiani et al., 2014; de Lafuente et al., 2015).”
BackgroundHadjidimitrakis, K., Vitis, M. D., Ghodrati, M., Filippini, M., & Fattori, P. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111608 · Cited by 11 · see citing works
New insights on single-neuron selectivity in the era of population-level approaches
Vaccari, F., Diomedi, S., Filippini, M., Hadjidimitrakis, K., & Fattori, P. (2022) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2022.929052 · Cited by 10 · see citing works
Discrimination of Regular and Irregular Rhythms Explained by a Time Difference Accumulation Model
Espinoza-Monroy, M., & de Lafuente, V. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.01.035 · Cited by 12 · see citing works
Kubanek, J., & Snyder, L. H. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv230 · Cited by 10 · see citing works
“This supports a notion that choice-related signals in LIP are partially saccade-specific and partially general, whereas PRR signals are more strongly embodied (de Lafuente et al. 2015; Kubanek, Li, et al. 2015).”
InfluentialMulti-region coordination of evidence accumulation and decision commitment in the brainPreprint
Bondy, A., Charlton, J. A., Luo, T. Z., Kopec, C. D., Stagnaro, W. M., Venditto, S. J. C., Shi, K., Xie, E. Y., Beau, M., Lynch, L. A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.21.609044 · Cited by 22 · see citing works
Functional organization of posterior parietal cortex circuitry based on inferred information flow
Kang, J.-U., Mooshagian, E., & Snyder, L. H. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114028 · Cited by 9 · see citing works
“39 To account for these high-level roles, it has been proposed that LIP forms a ‘‘priority map’’ of space, identifying important spatial locations and then propagating that information to other areas, including PRR, to further cognitive or motor goals (Figure 1A, spatial hub or priority map model).”
A conflict between spatial selection and evidence accumulation in area LIP
Seideman, J. A., Stanford, T. R., & Salinas, E. (2022) · Nature Communications · doi:10.1038/s41467-022-32209-z · Cited by 17 · see citing works
Okazawa, G., Hatch, C. E., Mancoo, A., Machens, C., & Kiani, R. (2021) · bioRxiv · doi:10.1101/2021.01.04.425244 · Cited by 9
“Similar encoding of the DV has been found in many other brain structures (de Lafuente et al. 2015; Deverett et al. 2018; Ding and Gold 2010, 2012; Donner et al. 2009; Horwitz and Newsome 1999; Kiani et al. 2014b; Kim and Basso 2008; Kim and Shadlen 1999; Peixoto et al. 2018; Ratcliff et al. 2003)…”
BackgroundInfluentialDecision-making processes in perceptual learning depend on effectors
Ivanov, V., Manenti, G. L., Plewe, S. S., Kagan, I., & Schwiedrzik, C. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-55508-5 · Cited by 6 · see citing works
Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit
Calderini, M., Zhang, S., Berberian, N., & Thivierge, J. (2018) · Neural Computation · doi:10.1162/neco_a_01083 · Cited by 7 · see citing works
Leitão, J., Thielscher, A., Lee, H. L., Tünnerhoff, J., & Noppeney, U. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13743 · Cited by 10 · see citing works
“© 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd [e.g. lateral (LIP) or medial (MI) intraparietal areas (de Lafuente et al., 2015)] are thought to play a pivotal role by influencing perceptual decisions at two levels.”
BackgroundParés-Pujolràs, E., Kelly, S. P., & Murphy, P. (2024) · bioRxiv · doi:10.1038/s41467-025-58861-9 · Cited by 7 · see citing works
“…perceptual decisions in static environments have identi fi ed two human neurophysiological signals that evolve with similar integration dynamics, with one - the centroparietal positivity - appearing to compute the running integral and continuously feed it to the other - motor beta lateralisation.”
Prior probability cues bias sensory encoding with increasing task exposure
Walsh, K. S., McGovern, D. P., Dully, J., Kelly, S. P., & O’Connell, R. G. (2023) · eLife · doi:10.7554/elife.91135 · Cited by 21 · see citing works
“A mixed effect analysis showed a main effect of Cue Condition on alpha amplitude (F(1,52527) = 10.10, p = 0.001), such that there was significantly greater alpha desynchronisation in the neutral cue condition, consistent with increased task engagement in this condition.”
ResultInfluentialDecoding Adaptive Visuomotor Behavior Mediated by Non-linear Phase Coupling in Macaque Area MT
Khamechian, M. B., & Daliri, M. R. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00230 · Cited by 9 · see citing works
A doubly stochastic renewal framework for partitioning spiking variability
Aghamohammadi, C., Chandrasekaran, C., & Engel, T. A. (2025) · Nature Communications · doi:10.1038/s41467-025-63821-4 · Cited by 8 · see citing works
“(7) with a fi nite bin size have similar limitations 31,47 (Methods), although accurate estimation is possible using large bin sizes 48 .”
InfluentialGür, E., Duyan, Y. A., Türkakın, E., Arkan, S., Karson, A., & Balcı, F. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02101-x · Cited by 9 · see citing works
Beldzik, E., Domagalik, A., Gawłowska, M., Marek, T., & Mojsa‐Kaja, J. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1527-7 · Cited by 7 · see citing works
Latimer, K. W., Huk, A. C., & Pillow, J. W. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/160994 · Cited by 6 · see citing works
Neural precursors of deliberate and arbitrary decisions in the study of voluntary action
Maoz, U., Yaffe, G., Koch, C., & Mudrik, L. (2017) · bioRxiv · doi:10.1101/097626 · Cited by 6
- 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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