Catecholamines alter the intrinsic variability of cortical population activity and perception
暂无分享,去创建一个
[1] H. Adesnik. Synaptic Mechanisms of Feature Coding in the Visual Cortex of Awake Mice , 2017, Neuron.
[2] Y. Dan,et al. Cholinergic shaping of neural correlations , 2017, Proceedings of the National Academy of Sciences.
[3] Niels A. Kloosterman,et al. Dynamic modulation of decision biases by brainstem arousal systems , 2017, eLife.
[4] T. Fuchs,et al. Disinhibition of somatostatin-positive GABAergic interneurons results in an anxiolytic and antidepressant-like brain state , 2016, Molecular Psychiatry.
[5] Amélie J. Reynaud,et al. Boosting Norepinephrine Transmission Triggers Flexible Reconfiguration of Brain Networks at Rest , 2016, Cerebral cortex.
[6] Peter R Murphy,et al. Catecholaminergic Neuromodulation Shapes Intrinsic MRI Functional Connectivity in the Human Brain , 2016, The Journal of Neuroscience.
[7] Mario Treviño,et al. Layer- and area-specific actions of norepinephrine on cortical synaptic transmission , 2016, Brain Research.
[8] R. Mooney,et al. The Basal Forebrain and Motor Cortex Provide Convergent yet Distinct Movement-Related Inputs to the Auditory Cortex , 2016, Neuron.
[9] Christian K. Machens,et al. Efficient codes and balanced networks , 2016, Nature Neuroscience.
[10] Oren Shriki,et al. Optimal Information Representation and Criticality in an Adaptive Sensory Recurrent Neuronal Network , 2016, PLoS Comput. Biol..
[11] Oren Shriki,et al. Near-Critical Dynamics in Stimulus-Evoked Activity of the Human Brain and Its Relation to Spontaneous Resting-State Activity , 2015, The Journal of Neuroscience.
[12] Jessica A. Cardin,et al. Waking State: Rapid Variations Modulate Neural and Behavioral Responses , 2015, Neuron.
[13] S. Nelson,et al. Excitatory/Inhibitory Balance and Circuit Homeostasis in Autism Spectrum Disorders , 2015, Neuron.
[14] Gustavo Deco,et al. Task-Driven Activity Reduces the Cortical Activity Space of the Brain: Experiment and Whole-Brain Modeling , 2015, PLoS Comput. Biol..
[15] Woodrow L. Shew,et al. Adaptation to sensory input tunes visual cortex to criticality , 2015, Nature Physics.
[16] Robert C. Froemke,et al. Coordinated forms of noradrenergic plasticity in the locus coeruleus and primary auditory cortex , 2015, Nature Neuroscience.
[17] R. Froemke. Plasticity of cortical excitatory-inhibitory balance. , 2015, Annual review of neuroscience.
[18] Stephen V. David,et al. Cortical Membrane Potential Signature of Optimal States for Sensory Signal Detection , 2015, Neuron.
[19] J. Palva,et al. Relationship of Fast- and Slow-Timescale Neuronal Dynamics in Human MEG and SEEG , 2015, The Journal of Neuroscience.
[20] Mriganka Sur,et al. An acetylcholine-activated microcircuit drives temporal dynamics of cortical activity , 2015, Nature Neuroscience.
[21] H. Kennedy,et al. A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex , 2015, Neuron.
[22] Woodrow L. Shew,et al. Cascades and Cognitive State: Focused Attention Incurs Subcritical Dynamics , 2015, The Journal of Neuroscience.
[23] C. Petersen,et al. Cholinergic signals in mouse barrel cortex during active whisker sensing. , 2014, Cell reports.
[24] David J. Freedman,et al. A hierarchy of intrinsic timescales across primate cortex , 2014, Nature Neuroscience.
[25] Thilo Gross,et al. Self-organized criticality as a fundamental property of neural systems , 2014, Front. Syst. Neurosci..
[26] Pierre Yger,et al. Brian 2: neural simulations on a variety of computational hardware , 2014, BMC Neuroscience.
[27] Jochen Triesch,et al. Spike avalanches in vivo suggest a driven, slightly subcritical brain state , 2014, Front. Syst. Neurosci..
[28] Christian K. Machens,et al. Variability in neural activity and behavior , 2014, Current Opinion in Neurobiology.
[29] M. Stryker,et al. A Cortical Circuit for Gain Control by Behavioral State , 2014, Cell.
[30] Richard E. Carson,et al. Clinical doses of atomoxetine significantly occupy both norepinephrine and serotonin transports: Implications on treatment of depression and ADHD , 2014, NeuroImage.
[31] T. Knapen,et al. Decision-related pupil dilation reflects upcoming choice and individual bias , 2014, Proceedings of the National Academy of Sciences.
[32] G. Fishell,et al. Interneuron cell types are fit to function , 2014, Nature.
[33] Michael J. Goard,et al. Fast Modulation of Visual Perception by Basal Forebrain Cholinergic Neurons , 2013, Nature Neuroscience.
[34] Andrew J. Parker,et al. A Causal Role for V5/MT Neurons Coding Motion-Disparity Conjunctions in Resolving Perceptual Ambiguity , 2013, Current Biology.
[35] P. Golshani,et al. Cellular mechanisms of brain-state-dependent gain modulation in visual cortex , 2013, Nature Neuroscience.
[36] M. Siegel,et al. Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG , 2013, Front. Hum. Neurosci..
[37] Tomas Knapen,et al. GABA Shapes the Dynamics of Bistable Perception , 2013, Current Biology.
[38] Viola Priesemann,et al. Neuronal Avalanches Differ from Wakefulness to Deep Sleep – Evidence from Intracranial Depth Recordings in Humans , 2013, PLoS Comput. Biol..
[39] K. Linkenkaer-Hansen,et al. Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws , 2013, Proceedings of the National Academy of Sciences.
[40] Dov Sagi,et al. Retinotopic Patterns of Correlated Fluctuations in Visual Cortex Reflect the Dynamics of Spontaneous Perceptual Suppression , 2013, The Journal of Neuroscience.
[41] M. Carandini,et al. Inhibition dominates sensory responses in awake cortex , 2012, Nature.
[42] Vadim V. Nikulin,et al. Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations , 2012, Front. Physio..
[43] D. Heeger,et al. Slow Cortical Dynamics and the Accumulation of Information over Long Timescales , 2012, Neuron.
[44] Y. Dan,et al. Neuromodulation of Brain States , 2012, Neuron.
[45] K. Linkenkaer-Hansen,et al. Critical-State Dynamics of Avalanches and Oscillations Jointly Emerge from Balanced Excitation/Inhibition in Neuronal Networks , 2012, The Journal of Neuroscience.
[46] E. Wagenmakers,et al. A default Bayesian hypothesis test for correlations and partial correlations , 2012, Psychonomic bulletin & review.
[47] J. Lisman. Excitation, inhibition, local oscillations, or large-scale loops: what causes the symptoms of schizophrenia? , 2012, Current Opinion in Neurobiology.
[48] R. Dolan,et al. Cholinergic Enhancement of Visual Attention and Neural Oscillations in the Human Brain , 2012, Current Biology.
[49] M. Scanziani,et al. How Inhibition Shapes Cortical Activity , 2011, Neuron.
[50] Rolando J. Biscay-Lirio,et al. Assessing interactions in the brain with exact low-resolution electromagnetic tomography , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[51] Biyu J. He. Scale-Free Properties of the Functional Magnetic Resonance Imaging Signal during Rest and Task , 2011, The Journal of Neuroscience.
[52] Lief E. Fenno,et al. Neocortical excitation/inhibition balance in information processing and social dysfunction , 2011, Nature.
[53] K. Harris,et al. Cortical state and attention , 2011, Nature Reviews Neuroscience.
[54] D. Knill,et al. Bayesian sampling in visual perception , 2011, Proceedings of the National Academy of Sciences.
[55] M. Siegel,et al. A framework for local cortical oscillation patterns , 2011, Trends in Cognitive Sciences.
[56] C. Schroeder,et al. Neuronal Mechanisms and Attentional Modulation of Corticothalamic Alpha Oscillations , 2011, The Journal of Neuroscience.
[57] T. Moore,et al. CONTROL OF VISUAL CORTICAL SIGNALS BY PREFRONTAL DOPAMINE , 2011, Nature.
[58] J. Poulet,et al. Synaptic Mechanisms Underlying Sparse Coding of Active Touch , 2011, Neuron.
[59] A. E. Eiben,et al. Parameter tuning for configuring and analyzing evolutionary algorithms , 2011, Swarm Evol. Comput..
[60] D. Louis Collins,et al. Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.
[61] Robert Oostenveld,et al. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..
[62] Woodrow L. Shew,et al. Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches , 2010, The Journal of Neuroscience.
[63] D. Chialvo. Emergent complex neural dynamics , 2010, 1010.2530.
[64] Biyu J. He,et al. The Temporal Structures and Functional Significance of Scale-free Brain Activity , 2010, Neuron.
[65] Takeo Watanabe,et al. Perceptual learning rules based on reinforcers and attention , 2010, Trends in Cognitive Sciences.
[66] G. Deco,et al. Emerging concepts for the dynamical organization of resting-state activity in the brain , 2010, Nature Reviews Neuroscience.
[67] Jeffrey G. Ojemann,et al. Power-Law Scaling in the Brain Surface Electric Potential , 2009, PLoS Comput. Biol..
[68] Ilan Lampl,et al. Balance of excitation and inhibition , 2009, Scholarpedia.
[69] M. Frank,et al. Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation. , 2009, Nature neuroscience.
[70] T. Robbins,et al. The neuropsychopharmacology of fronto-executive function: monoaminergic modulation. , 2009, Annual review of neuroscience.
[71] Woodrow L. Shew,et al. Neuronal Avalanches Imply Maximum Dynamic Range in Cortical Networks at Criticality , 2009, The Journal of Neuroscience.
[72] Jeffrey N. Rouder,et al. Bayesian t tests for accepting and rejecting the null hypothesis , 2009, Psychonomic bulletin & review.
[73] Philip Holmes,et al. Optimality and Robustness of a Biophysical Decision-Making Model under Norepinephrine Modulation , 2009, The Journal of Neuroscience.
[74] S. Sara. The locus coeruleus and noradrenergic modulation of cognition , 2009, Nature Reviews Neuroscience.
[75] Arjen van Ooyen,et al. Altered temporal correlations in parietal alpha and prefrontal theta oscillations in early-stage Alzheimer disease , 2009, Proceedings of the National Academy of Sciences.
[76] R. Romo,et al. The role of fluctuations in perception , 2008, Trends in Neurosciences.
[77] Xiao-Jing Wang. Decision Making in Recurrent Neuronal Circuits , 2008, Neuron.
[78] C. Berridge. Noradrenergic modulation of arousal , 2008, Brain Research Reviews.
[79] John M Beggs,et al. The criticality hypothesis: how local cortical networks might optimize information processing , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[80] Arjen van Ooyen,et al. Genetic Contributions to Long-Range Temporal Correlations in Ongoing Oscillations , 2007, The Journal of Neuroscience.
[81] C. Schreiner,et al. A synaptic memory trace for cortical receptive field plasticity , 2007, Nature.
[82] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[83] J. Rinzel,et al. Noise-induced alternations in an attractor network model of perceptual bistability. , 2007, Journal of neurophysiology.
[84] R. Oostenveld,et al. Nonparametric statistical testing of EEG- and MEG-data , 2007, Journal of Neuroscience Methods.
[85] R. van Ee,et al. Percept-choice sequences driven by interrupted ambiguous stimuli: a low-level neural model. , 2007, Journal of vision.
[86] A. Arnsten,et al. Adrenergic pharmacology and cognition: focus on the prefrontal cortex. , 2007, Pharmacology & therapeutics.
[87] R. van Ee,et al. Visual Cortex Allows Prediction of Perceptual States during Ambiguous Structure-From-Motion , 2007, The Journal of Neuroscience.
[88] O. Kinouchi,et al. Optimal dynamical range of excitable networks at criticality , 2006, q-bio/0601037.
[89] Jonathan D. Cohen,et al. An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. , 2005, Annual review of neuroscience.
[90] Felix Hasler,et al. Modulating the Rate and Rhythmicity of Perceptual Rivalry Alternations with the Mixed 5-HT2A and 5-HT1A Agonist Psilocybin , 2005, Neuropsychopharmacology.
[91] Angela J. Yu,et al. Uncertainty, Neuromodulation, and Attention , 2005, Neuron.
[92] John-Michael Sauer,et al. Clinical Pharmacokinetics of Atomoxetine , 2005, Clinical pharmacokinetics.
[93] P. Glimcher. Indeterminacy in brain and behavior. , 2005, Annual review of psychology.
[94] K. Linkenkaer-Hansen,et al. Prestimulus Oscillations Enhance Psychophysical Performance in Humans , 2004, The Journal of Neuroscience.
[95] K. Linkenkaer-Hansen,et al. Stimulus‐induced change in long‐range temporal correlations and scaling behaviour of sensorimotor oscillations , 2004, The European journal of neuroscience.
[96] J. Aloimonos,et al. On the kinetic depth effect , 1989, Biological Cybernetics.
[97] John M. Beggs,et al. Neuronal Avalanches in Neocortical Circuits , 2003, The Journal of Neuroscience.
[98] 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.
[99] Kenneth D Miller,et al. Multiplicative Gain Changes Are Induced by Excitation or Inhibition Alone , 2003, The Journal of Neuroscience.
[100] Ralf Engbert,et al. Microsaccades uncover the orientation of covert attention , 2003, Vision Research.
[101] Harvey A Swadlow,et al. Thalamocortical control of feed-forward inhibition in awake somatosensory 'barrel' cortex. , 2002, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[102] Xiao-Jing Wang,et al. Probabilistic Decision Making by Slow Reverberation in Cortical Circuits , 2002, Neuron.
[103] K. Perry,et al. Atomoxetine Increases Extracellular Levels of Norepinephrine and Dopamine in Prefrontal Cortex of Rat: A Potential Mechanism for Efficacy in Attention Deficit/Hyperactivity Disorder , 2002, Neuropsychopharmacology.
[104] A. Parker,et al. Neuronal activity and its links with the perception of multi-stable figures. , 2002, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[105] Thomas E. Nichols,et al. Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.
[106] Xiao-Jing Wang. Synaptic reverberation underlying mnemonic persistent activity , 2001, Trends in Neurosciences.
[107] K. Linkenkaer-Hansen,et al. Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations , 2001, The Journal of Neuroscience.
[108] X. Wang,et al. Synaptic Basis of Cortical Persistent Activity: the Importance of NMDA Receptors to Working Memory , 1999, The Journal of Neuroscience.
[109] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.
[110] P. Mitra,et al. Analysis of dynamic brain imaging data. , 1998, Biophysical journal.
[111] L. Friedhoff,et al. Pharmacokinetic and pharmacodynamic profile of donepezil HCl following evening administration. , 1998, British journal of clinical pharmacology.
[112] W. Newsome,et al. The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.
[113] David M. Raup,et al. How Nature Works: The Science of Self-Organized Criticality , 1997 .
[114] Gerard V. Middleton,et al. How Nature Works: The Science of Self-organized Criticality , 1997 .
[115] H. Sompolinsky,et al. Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity , 1996, Science.
[116] Per Bak,et al. How Nature Works , 1996 .
[117] Per Bak,et al. The Discovery of Self-Organized Criticality , 1996 .
[118] Jean-Francois Cardoso,et al. An information-maximization approach to blind separation and blind deconvolution , 1996 .
[119] C. Pennartz. The ascending neuromodulatory systems in learning by reinforcement: comparing computational conjectures with experimental findings , 1995, Brain Research Reviews.
[120] C. Peng,et al. Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[121] J D Cohen,et al. A network model of catecholamine effects: gain, signal-to-noise ratio, and behavior. , 1990, Science.
[122] G Sperling,et al. How to study the kinetic depth effect experimentally. , 1990, Journal of experimental psychology. Human perception and performance.
[123] Tang,et al. Self-Organized Criticality: An Explanation of 1/f Noise , 2011 .
[124] S. Foote,et al. Noradrenergic and serotoninergic innervation of cortical, thalamic, and tectal visual structures in old and new world monkeys , 1986, The Journal of comparative neurology.