The Structured Mind at Rest: Low-Frequency Oscillations Reflect Interactive Dynamics Between Spontaneous Brain Activity and a Common Architecture for Task Control
暂无分享,去创建一个
[1] Catherine Sibert,et al. Inferring a Cognitive Architecture from Multitask Neuroimaging Data: A Data-Driven Test of the Common Model of Cognition Using Granger Causality , 2022, Top. Cogn. Sci..
[2] B. Mueller,et al. The resting-state causal human connectome is characterized by hub connectivity of executive and attentional networks , 2022, NeuroImage.
[3] T. Grabowski,et al. Increased Basal Ganglia Modulatory Effective Connectivity Observed in Resting-State fMRI in Individuals With Parkinson’s Disease , 2022, Frontiers in Aging Neuroscience.
[4] M. Corbetta,et al. The secret life of predictive brains: what’s spontaneous activity for? , 2020, Trends in Cognitive Sciences.
[5] P. Drew,et al. Rude mechanicals in brain haemodynamics: non-neural actors that influence blood flow , 2020, Philosophical Transactions of the Royal Society B.
[6] Alexei V. Samsonovich,et al. Socially emotional brain-inspired cognitive architecture framework for artificial intelligence , 2020, Cognitive Systems Research.
[7] Jiyoung Kang,et al. Graph-theoretical analysis for energy landscape reveals the organization of state transitions in the resting-state human cerebral cortex , 2019, PloS one.
[8] John E. Laird,et al. Analysis of the human connectome data supports the notion of a “Common Model of Cognition” for human and human-like intelligence across domains , 2019, NeuroImage.
[9] John E. Laird,et al. A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics , 2017, AI Mag..
[10] Christos Davatzikos,et al. Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity , 2017, NeuroImage.
[11] Jason S. Nomi,et al. Correspondence between evoked and intrinsic functional brain network configurations , 2017, Human brain mapping.
[12] David R. Vago,et al. The brain on silent: mind wandering, mindful awareness, and states of mental tranquility , 2016, Annals of the New York Academy of Sciences.
[13] Zhongming Liu,et al. Broadband Electrophysiological Dynamics Contribute to Global Resting-State fMRI Signal , 2016, The Journal of Neuroscience.
[14] B T Thomas Yeo,et al. Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[15] Jonathan D. Power,et al. Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.
[16] Bharat B. Biswal,et al. Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic resonance imaging , 2014, NeuroImage.
[17] Jeffrey S. Anderson,et al. BOLD Granger Causality Reflects Vascular Anatomy , 2013, PloS one.
[18] Essa Yacoub,et al. The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.
[19] Abraham Z. Snyder,et al. Function in the human connectome: Task-fMRI and individual differences in behavior , 2013, NeuroImage.
[20] Karl J. Friston,et al. Analysing connectivity with Granger causality and dynamic causal modelling , 2013, Current Opinion in Neurobiology.
[21] Jason M. Scimeca,et al. Striatal Contributions to Declarative Memory Retrieval , 2012, Neuron.
[22] Michael W. Cole,et al. Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence , 2012, The Journal of Neuroscience.
[23] William D. Penny,et al. Comparing Dynamic Causal Models using AIC, BIC and Free Energy , 2012, NeuroImage.
[24] Timothy O. Laumann,et al. Functional Network Organization of the Human Brain , 2011, Neuron.
[25] Marisa O. Hollinshead,et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.
[26] T. Hendler,et al. Towards a Neuroscience of Mind-Wandering , 2011, Front. Hum. Neurosci..
[27] Elizabeth Jefferies,et al. Semantic Processing in the Anterior Temporal Lobes: A Meta-analysis of the Functional Neuroimaging Literature , 2010, Journal of Cognitive Neuroscience.
[28] Ewald Moser,et al. Multi-subject analyses with dynamic causal modeling , 2010, NeuroImage.
[29] S. Kotz,et al. Non-motor basal ganglia functions: A review and proposal for a model of sensory predictability in auditory language perception , 2009, Cortex.
[30] Karl J. Friston,et al. Bayesian model selection for group studies , 2009, NeuroImage.
[31] W. K. Simmons,et al. Circular analysis in systems neuroscience: the dangers of double dipping , 2009, Nature Neuroscience.
[32] Kevin Murphy,et al. The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? , 2009, NeuroImage.
[33] Carol A. Seger,et al. How do the basal ganglia contribute to categorization? Their roles in generalization, response selection, and learning via feedback , 2008, Neuroscience & Biobehavioral Reviews.
[34] John R. Anderson,et al. A central circuit of the mind , 2008, Trends in Cognitive Sciences.
[35] Abraham Z. Snyder,et al. A default mode of brain function: A brief history of an evolving idea , 2007, NeuroImage.
[36] J C Houk,et al. Action selection and refinement in subcortical loops through basal ganglia and cerebellum , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[37] M. Just,et al. From the Selectedworks of Marcel Adam Just the Organization of Thinking: What Functional Brain Imaging Reveals about the Neuroarchitecture of Complex Cognition , 2022 .
[38] John R. Anderson. How Can the Human Mind Occur in the Physical Universe , 2007 .
[39] Tony O’Hagan. Bayes factors , 2006 .
[40] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[41] Karl J. Friston,et al. Dynamic causal modelling , 2003, NeuroImage.
[42] Craig E. L. Stark,et al. When zero is not zero: The problem of ambiguous baseline conditions in fMRI , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[43] Julia M. Huntenburg,et al. Large-Scale Gradients in Human Cortical Organization , 2018, Trends in Cognitive Sciences.
[44] Zoe Steine-Hanson,et al. Refining the Common Model of Cognition Through Large Neuroscience Data , 2018, BICA.
[45] Seth A. Herd,et al. The Leabra Cognitive Architecture: How to Play 20 Principles with Nature and Win! , 2012 .
[46] David Naccache,et al. Standard Model , 2011, Encyclopedia of Cryptography and Security.
[47] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..