Humans strategically shift decision bias by flexibly adjusting sensory evidence accumulation
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Ulman Lindenberger | Markus Werkle-Bergner | Niels A Kloosterman | Johannes Jacobus Fahrenfort | Douglas D Garrett | Niels A. Kloosterman | J. Fahrenfort | U. Lindenberger | M. Werkle-Bergner | D. Garrett | J. W. de Gee | Jan Willem de Gee
[1] C. White,et al. Decomposing bias in different types of simple decisions. , 2014, Journal of experimental psychology. Learning, memory, and cognition.
[2] J. Bakdash,et al. Repeated Measures Correlation , 2017, Front. Psychol..
[3] Niels A. Kloosterman,et al. Pupil size tracks perceptual content and surprise , 2015, The European journal of neuroscience.
[4] T. Sejnowski,et al. Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons , 2001, Neuroscience.
[5] I. Nelken,et al. Transient Induced Gamma-Band Response in EEG as a Manifestation of Miniature Saccades , 2008, Neuron.
[6] P. Corballis,et al. Prestimulus alpha power influences response criterion in a detection task. , 2016, Psychophysiology.
[7] Timothy D. Hanks,et al. Bounded Integration in Parietal Cortex Underlies Decisions Even When Viewing Duration Is Dictated by the Environment , 2008, The Journal of Neuroscience.
[8] Pascal Fries,et al. Gamma-Rhythmic Gain Modulation , 2016, Neuron.
[9] Robert Oostenveld,et al. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..
[10] J. Cavanaugh,et al. The Bayesian information criterion: background, derivation, and applications , 2012 .
[11] Victor A. F. Lamme,et al. Figure–ground activity in primary visual cortex (V1) of the monkey matches the speed of behavioral response , 2003, Neuroscience Letters.
[12] K. Mathewson,et al. To See or Not to See: Prestimulus α Phase Predicts Visual Awareness , 2009, The Journal of Neuroscience.
[13] K. R. Ridderinkhof,et al. Not All Errors Are Alike: Theta and Alpha EEG Dynamics Relate to Differences in Error-Processing Dynamics , 2012, The Journal of Neuroscience.
[14] Jonathan D. Cohen,et al. The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. , 2006, Psychological review.
[15] Roger Ratcliff,et al. The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks , 2008, Neural Computation.
[16] Nelson J. Trujillo-Barreto,et al. Induced gamma band responses in human EEG after the control of miniature saccadic artifacts , 2011, NeuroImage.
[17] W. Freeman. Nonlinear gain mediating cortical stimulus-response relations , 1979, Biological Cybernetics.
[18] Victor A. F. Lamme. The neurophysiology of figure-ground segregation in primary visual cortex , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[19] Jonathan D. Cohen,et al. An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. , 2005, Annual review of neuroscience.
[20] A. Tversky,et al. Judgment under Uncertainty: Heuristics and Biases , 1974, Science.
[21] J. Gold,et al. The neural basis of decision making. , 2007, Annual review of neuroscience.
[22] H. Kennedy,et al. Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels , 2014, Neuron.
[23] Michael L. Mack,et al. Indecision on decisional separability , 2011, Psychonomic bulletin & review.
[24] M. Siegel,et al. Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG , 2013, Front. Hum. Neurosci..
[25] P. Roelfsema,et al. Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex , 2014, Proceedings of the National Academy of Sciences.
[26] S. Kastner,et al. FEF-Controlled Alpha Delay Activity Precedes Stimulus-Induced Gamma-Band Activity in Visual Cortex , 2017, The Journal of Neuroscience.
[27] Niko A Busch,et al. Moment-to-Moment Fluctuations in Neuronal Excitability Bias Subjective Perception Rather than Strategic Decision-Making , 2018, eNeuro.
[28] R. VanRullen,et al. The Phase of Ongoing EEG Oscillations Predicts Visual Perception , 2009, The Journal of Neuroscience.
[29] G. Buzsáki,et al. Neuronal Oscillations in Cortical Networks , 2004, Science.
[30] Roger Ratcliff,et al. A Theory of Memory Retrieval. , 1978 .
[31] M. Frank,et al. Frontal theta as a mechanism for cognitive control , 2014, Trends in Cognitive Sciences.
[32] Niels A. Kloosterman,et al. Top-down modulation in human visual cortex predicts the stability of a perceptual illusion. , 2015, Journal of neurophysiology.
[33] O. Jensen,et al. Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition , 2010, Front. Hum. Neurosci..
[34] P. Mitra,et al. Analysis of dynamic brain imaging data. , 1998, Biophysical journal.
[35] B. Postle,et al. Prestimulus alpha-band power biases visual discrimination confidence, but not accuracy , 2016, Consciousness and Cognition.
[36] R. Ratcliff. Modeling response signal and response time data , 2006, Cognitive Psychology.
[37] J. Gold,et al. Relationships between Pupil Diameter and Neuronal Activity in the Locus Coeruleus, Colliculi, and Cingulate Cortex , 2016, Neuron.
[38] C. Herrmann,et al. Transcranial Alternating Current Stimulation Enhances Individual Alpha Activity in Human EEG , 2010, PloS one.
[39] H. Kennedy,et al. Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas , 2016, Neuron.
[40] Mingzhou Ding,et al. From Prestimulus Alpha Oscillation to Visual-evoked Response: An Inverted-U Function and Its Attentional Modulation , 2011, Journal of Cognitive Neuroscience.
[41] Stephen V. David,et al. Cortical Membrane Potential Signature of Optimal States for Sensory Signal Detection , 2015, Neuron.
[42] A. Blangero,et al. Dynamic Interplay of Value and Sensory Information in High-Speed Decision Making , 2018, Current Biology.
[43] H. Lau,et al. Prestimulus Oscillatory Activity over Motor Cortex Reflects Perceptual Expectations , 2013, The Journal of Neuroscience.
[44] S. Kelly,et al. A supramodal accumulation-to-bound signal that determines perceptual decisions in humans , 2012, Nature Neuroscience.
[45] Stephen M Fleming,et al. Neural mediators of changes of mind about perceptual decisions , 2018, Nature Neuroscience.
[46] Niels A. Kloosterman,et al. Humans strategically shift decision bias by flexibly adjusting sensory evidence accumulation in visual cortex , 2018 .
[47] D. M. Green,et al. Signal detection theory and psychophysics , 1966 .
[48] Hakwan Lau,et al. A Role for the Superior Colliculus in Decision Criteria , 2018, Neuron.
[49] Gregor Thut,et al. Prestimulus EEG Power Predicts Conscious Awareness But Not Objective Visual Performance , 2017, eNeuro.
[50] M. Siegel,et al. A framework for local cortical oscillation patterns , 2011, Trends in Cognitive Sciences.
[51] R. Oostenveld,et al. Nonparametric statistical testing of EEG- and MEG-data , 2007, Journal of Neuroscience Methods.
[52] Andreas K. Engel,et al. Buildup of Choice-Predictive Activity in Human Motor Cortex during Perceptual Decision Making , 2009, Current Biology.
[53] Anne E. Urai,et al. Phasic arousal optimizes decision computations in mice and humans , 2018, bioRxiv.
[54] Thomas V. Wiecki,et al. HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python , 2013, Front. Neuroinform..
[55] Anne E. Urai,et al. Choice History Biases Subsequent Evidence Accumulation , 2018, bioRxiv.
[56] Roger Ratcliff,et al. Modeling Individual Differences in the Go/No-Go Task With a Diffusion Model , 2018, Decision.
[57] Sébastien M. Crouzet,et al. Spontaneous Neural Oscillations Bias Perception by Modulating Baseline Excitability. , 2017, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[58] Guido Nolte,et al. Multiple Transient Signals in Human Visual Cortex Associated with an Elementary Decision , 2017, The Journal of Neuroscience.
[59] J D Cohen,et al. A network model of catecholamine effects: gain, signal-to-noise ratio, and behavior. , 1990, Science.
[60] Niels A. Kloosterman,et al. Dynamic modulation of decision biases by brainstem arousal systems , 2017, eLife.
[61] R. Ratcliff,et al. Bias in the Brain: A Diffusion Model Analysis of Prior Probability and Potential Payoff , 2012, The Journal of Neuroscience.
[62] Timothy J. Pleskac,et al. How race affects evidence accumulation during the decision to shoot , 2017, Psychonomic Bulletin & Review.
[63] Xiting Huang,et al. Duration Aftereffect Depends on the Duration of Adaptation , 2017, Front. Psychol..
[64] Johannes Jacobus Fahrenfort,et al. The spatiotemporal profile of cortical processing leading up to visual perception. , 2008, Journal of vision.
[65] F. Perrin,et al. Spherical splines for scalp potential and current density mapping. , 1989, Electroencephalography and clinical neurophysiology.
[66] T. Knapen,et al. Decision-related pupil dilation reflects upcoming choice and individual bias , 2014, Proceedings of the National Academy of Sciences.
[67] Roozbeh Kiani,et al. Predicting the Accuracy of a Decision: A Neural Mechanism of Confidence. , 2014, Cold Spring Harbor symposia on quantitative biology.
[68] Bradley Voytek,et al. Alpha oscillations control cortical gain by modulating excitatory-inhibitory background activity , 2017, bioRxiv.
[69] Elyse H. Norton,et al. Suboptimal Criterion Learning in Static and Dynamic Environments , 2017, PLoS Comput. Biol..
[70] Michael X. Cohen,et al. Neurocomputational models of basal ganglia function in learning, memory and choice , 2009, Behavioural Brain Research.
[71] Johannes J. Fahrenfort,et al. Masking Disrupts Reentrant Processing in Human Visual Cortex , 2007, Journal of Cognitive Neuroscience.
[72] R. Tibshirani,et al. The problem of regions , 1998 .
[73] Moritz Grosse-Wentrup,et al. Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI , 2011, Comput. Intell. Neurosci..
[74] W. Singer,et al. Response to: Yuval-Greenberg et al., “Transient Induced Gamma-Band Response in EEG as a Manifestation of Miniature Saccades.” Neuron 58, 429–441 , 2009, Neuron.
[75] H. Spekreijse,et al. Masking Interrupts Figure-Ground Signals in V1 , 2002, Journal of Cognitive Neuroscience.
[76] Ulman Lindenberger,et al. Coordinated within-Trial Dynamics of Low-Frequency Neural Rhythms Controls Evidence Accumulation , 2014, The Journal of Neuroscience.