Interactions between frontal and posterior oscillatory dynamics support adjustment of stimulus processing during reinforcement learning
暂无分享,去创建一个
Michael X Cohen | Arjan Hillebrand | Joram van Driel | Irene van de Vijver | Michael X. Cohen | A. Hillebrand | I. Vijver | J. V. Driel | Michael X. Cohen
[1] P. Uhlhaas,et al. Working memory and neural oscillations: alpha–gamma versus theta–gamma codes for distinct WM information? , 2014, Trends in Cognitive Sciences.
[2] G. Knyazev,et al. Neuroscience and Biobehavioral Reviews , 2012 .
[3] Manuel Schabus,et al. Fronto-parietal EEG coherence in theta and upper alpha reflect central executive functions of working memory. , 2005, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[4] B. W. van Dijk,et al. Feasibility of clinical Magnetoencephalography (MEG) functional mapping in the presence of dental artefacts , 2013, Clinical Neurophysiology.
[5] O. Jensen,et al. Prestimulus alpha and mu activity predicts failure to inhibit motor responses , 2009, Human brain mapping.
[6] Matthew J. Brookes,et al. Optimising experimental design for MEG beamformer imaging , 2008, NeuroImage.
[7] Timothy Edward John Behrens,et al. How Green Is the Grass on the Other Side? Frontopolar Cortex and the Evidence in Favor of Alternative Courses of Action , 2009, Neuron.
[8] Caroline Di Bernardi Luft,et al. Learning from feedback: The neural mechanisms of feedback processing facilitating better performance , 2014, Behavioural Brain Research.
[9] John J. B. Allen,et al. Theta lingua franca: a common mid-frontal substrate for action monitoring processes. , 2012, Psychophysiology.
[10] Satu Palva,et al. Cross-frequency synchronization connects networks of fast and slow oscillations during visual working memory maintenance , 2016, eLife.
[11] J. Palva,et al. Neuronal synchrony reveals working memory networks and predicts individual memory capacity , 2010, Proceedings of the National Academy of Sciences.
[12] J. Bhattacharya,et al. High-Learners Present Larger Mid-Frontal Theta Power and Connectivity in Response to Incorrect Performance Feedback , 2013, 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] T. Sejnowski,et al. Synchrony of Thalamocortical Inputs Maximizes Cortical Reliability , 2010, Science.
[15] Joerg F. Hipp,et al. Accounting for Linear Transformations of EEG and MEG Data in Source Analysis , 2015, PloS one.
[16] Rodrigo F. Salazar,et al. Content-Specific Fronto-Parietal Synchronization During Visual Working Memory , 2012, Science.
[17] Ernest Mas-Herrero,et al. Frontal Theta Oscillatory Activity Is a Common Mechanism for the Computation of Unexpected Outcomes and Learning Rate , 2014, Journal of Cognitive Neuroscience.
[18] R. Desimone,et al. High-Frequency, Long-Range Coupling Between Prefrontal and Visual Cortex During Attention , 2009, Science.
[19] Monica Fabiani,et al. Validation of a method for coregistering scalp recording locations with 3D structural MR images , 2008, Human brain mapping.
[20] M. Siegel,et al. A framework for local cortical oscillation patterns , 2011, Trends in Cognitive Sciences.
[21] W. Singer,et al. Modulation of Neuronal Interactions Through Neuronal Synchronization , 2007, Science.
[22] G. R. Barnes,et al. A Quantitative Assessment of the Sensitivity of Whole-Head MEG to Activity in the Adult Human Cortex , 2002, NeuroImage.
[23] Robert T. Knight,et al. Five-dimensional neuroimaging: Localization of the time–frequency dynamics of cortical activity , 2008, NeuroImage.
[24] G. Nolte. The magnetic lead field theorem in the quasi-static approximation and its use for magnetoencephalography forward calculation in realistic volume conductors. , 2003, Physics in medicine and biology.
[25] P. Fries. A mechanism for cognitive dynamics: neuronal communication through neuronal coherence , 2005, Trends in Cognitive Sciences.
[26] Dimitri M. Kullmann,et al. Oscillations and Filtering Networks Support Flexible Routing of Information , 2010, Neuron.
[27] Michael X. Cohen,et al. Theta Dynamics Reveal Domain-specific Control over Stimulus and Response Conflict , 2012, Journal of Cognitive Neuroscience.
[28] T. Maia. Reinforcement learning, conditioning, and the brain: Successes and challenges , 2009, Cognitive, affective & behavioral neuroscience.
[29] N. Cashdollar,et al. Hippocampus-dependent and -independent theta-networks of active maintenance , 2009, Proceedings of the National Academy of Sciences.
[30] G. R. Barnes,et al. Elsevier Editorial System(tm) for Journal of Neuroscience Methods Manuscript Draft Manuscript Number: JNEUMETH-D-07-00538R1 Title: Effective electromagnetic noise cancellation with beamformers and synthetic gradiometry in shielded and partly-shielded environments , 2008 .
[31] P. Dayan,et al. Cortical substrates for exploratory decisions in humans , 2006, Nature.
[32] R. Dolan,et al. Cholinergic Enhancement of Visual Attention and Neural Oscillations in the Human Brain , 2012, Current Biology.
[33] R. Oostenveld,et al. Nonparametric statistical testing of EEG- and MEG-data , 2007, Journal of Neuroscience Methods.
[34] Michael X. Cohen,et al. Reward expectation modulates feedback-related negativity and EEG spectra , 2007, NeuroImage.
[35] Michael X. Cohen,et al. Frontal Oscillatory Dynamics Predict Feedback Learning and Action Adjustment , 2011, Journal of Cognitive Neuroscience.
[36] K Sekihara,et al. NUTMEG: a neuromagnetic source reconstruction toolbox. , 2004, Neurology & clinical neurophysiology : NCN.
[37] P. Fries. Rhythms for Cognition: Communication through Coherence , 2015, Neuron.
[38] Michael X Cohen,et al. Analyzing Neural Time Series Data: Theory and Practice , 2014 .
[39] Michael X. Cohen,et al. Frontal theta reflects uncertainty and unexpectedness during exploration and exploitation. , 2012, Cerebral cortex.
[40] Scott D Slotnick,et al. Memory for color reactivates color processing region , 2009, Neuroreport.
[41] A. Engel,et al. Spectral fingerprints of large-scale neuronal interactions , 2012, Nature Reviews Neuroscience.
[42] K. R. Ridderinkhof,et al. Unconscious Errors Enhance Prefrontal-Occipital Oscillatory Synchrony , 2009, Front. Hum. Neurosci..
[43] R. Eckhorn,et al. Amplitude envelope correlation detects coupling among incoherent brain signals , 2000, Neuroreport.
[44] A. Takahashi,et al. Anterior striatum with dysmorphic neurons associated with the epileptogenesis of focal cortical dysplasia , 2010, Seizure.
[45] Michael X. Cohen,et al. Cortical electrophysiological network dynamics of feedback learning , 2011, Trends in Cognitive Sciences.
[46] Robert Oostenveld,et al. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..
[47] Lars-Göran Nilsson,et al. Reactivation of Motor Brain Areas during Explicit Memory for Actions , 2001, NeuroImage.
[48] Jane R. Garrison,et al. Prediction error in reinforcement learning: A meta-analysis of neuroimaging studies , 2013, Neuroscience & Biobehavioral Reviews.
[49] R. Nigbur,et al. Theta power as a marker for cognitive interference , 2011, Clinical Neurophysiology.
[50] J. Lisman,et al. The Theta-Gamma Neural Code , 2013, Neuron.
[51] Katsuyuki Sakai,et al. Prefrontal Set Activity Predicts Rule-Specific Neural Processing during Subsequent Cognitive Performance , 2006, The Journal of Neuroscience.
[52] Riitta Hari,et al. Removal of magnetoencephalographic artifacts with temporal signal‐space separation: Demonstration with single‐trial auditory‐evoked responses , 2009, Human brain mapping.
[53] K. R. Ridderinkhof,et al. EEG Source Reconstruction Reveals Frontal-Parietal Dynamics of Spatial Conflict Processing , 2013, PloS one.
[54] Karl J. Friston,et al. Behavioral / Systems / Cognitive Striatal Prediction Error Modulates Cortical Coupling , 2010 .
[55] M. Heil,et al. Distinct Cortical Activation Patterns during Long-Term Memory Retrieval of Verbal, Spatial, and Color Information , 1995, Journal of Cognitive Neuroscience.
[56] G. V. Simpson,et al. Anticipatory Biasing of Visuospatial Attention Indexed by Retinotopically Specific α-Bank Electroencephalography Increases over Occipital Cortex , 2000, The Journal of Neuroscience.
[57] Mircea Ariel Schoenfeld,et al. Magneto- and electroencephalographic manifestations of reward anticipation and delivery , 2012, NeuroImage.
[58] Pascal Fries,et al. Communication through coherence with inter-areal delays , 2015, Current Opinion in Neurobiology.
[59] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[60] Marcel van Gerven,et al. Measuring directionality between neuronal oscillations of different frequencies , 2015, NeuroImage.
[61] E. Tulving,et al. Reactivation of encoding-related brain activity during memory retrieval. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[62] S. Haber,et al. The Reward Circuit: Linking Primate Anatomy and Human Imaging , 2010, Neuropsychopharmacology.
[63] L. Hoadley. A DEVICE FOR MICROMANIPULATION. , 1934, Science.
[64] Cornelis J. Stam,et al. Changes in resting-state directed connectivity in cortico-subcortical networks correlate with cognitive function in Parkinson’s disease , 2017, Clinical Neurophysiology.
[65] Marco Rotonda,et al. EEG oscillatory activity associated to monetary gain and loss signals in a learning task: effects of attentional impulsivity and learning ability. , 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[66] Joachim Gross,et al. Good practice for conducting and reporting MEG research , 2013, NeuroImage.
[67] N. Yeung,et al. Reward Activates Stimulus-Specific and Task-Dependent Representations in Visual Association Cortices , 2014, The Journal of Neuroscience.
[68] Benjamin A. E. Hunt,et al. Measuring electrophysiological connectivity by power envelope correlation: a technical review on MEG methods , 2015, Physics in medicine and biology.
[69] Julia H. Keller,et al. A quantitative assessment of the sensitivity of the downstream midlatitude flow response to extratropical transition of tropical cyclones , 2015 .
[70] Jan R Wessel,et al. Unexpected Events Induce Motor Slowing via a Brain Mechanism for Action-Stopping with Global Suppressive Effects , 2013, The Journal of Neuroscience.
[71] Zoe Kourtzi,et al. Decoding the future from past experience: learning shapes predictions in early visual cortex , 2015, Journal of neurophysiology.
[72] Joydeep Bhattacharya,et al. Processing Graded Feedback: Electrophysiological Correlates of Learning from Small and Large Errors , 2014, Journal of Cognitive Neuroscience.
[73] M. Packard,et al. Changes in corticostriatal connectivity during reinforcement learning in humans , 2015, Human brain mapping.
[74] H. Seo,et al. Neural basis of reinforcement learning and decision making. , 2012, Annual review of neuroscience.
[75] A. Rodríguez-Fornells,et al. The role of high-frequency oscillatory activity in reward processing and learning , 2015, Neuroscience & Biobehavioral Reviews.
[76] Michael X. Cohen,et al. Dynamic Interactions between Large-Scale Brain Networks Predict Behavioral Adaptation after Perceptual Errors , 2012, Cerebral cortex.
[77] K. R. Ridderinkhof,et al. Aging affects medial but not anterior frontal learning-related theta oscillations , 2014, Neurobiology of Aging.
[78] R. Knight,et al. The functional role of cross-frequency coupling , 2010, Trends in Cognitive Sciences.
[79] W. Singer,et al. Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.
[80] James F. Cavanagh,et al. Frontal theta links prediction errors to behavioral adaptation in reinforcement learning , 2010, NeuroImage.
[81] Timothy E. J. Behrens,et al. Review Frontal Cortex and Reward-guided Learning and Decision-making Figure 1. Frontal Brain Regions in the Macaque Involved in Reward-guided Learning and Decision-making Finer Grained Anatomical Divisions with Frontal Cortical Systems for Reward-guided Behavior , 2022 .
[82] Natalie C. Ebner,et al. Age of face matters: Age-group differences in ratings of young and old faces , 2008, Behavior research methods.
[83] S. Taulu,et al. Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements , 2006, Physics in medicine and biology.
[84] Juliana Yordanova,et al. Aging and error processing: Time-frequency analysis of error-related potentials. , 2005 .
[85] Roland R. Lee,et al. Resting-State Magnetoencephalography Reveals Different Patterns of Aberrant Functional Connectivity in Combat-Related Mild Traumatic Brain Injury. , 2017, Journal of neurotrauma.
[86] W Singer,et al. Visual feature integration and the temporal correlation hypothesis. , 1995, Annual review of neuroscience.
[87] Juliana Yordanova,et al. Error-Related Oscillations , 2009 .
[88] Seppo P. Ahlfors,et al. Sensitivity of MEG and EEG to Source Orientation , 2010, Brain Topography.