A dopamine gradient controls access to distributed working memory in the large-scale monkey cortex
暂无分享,去创建一个
Daniel P. Bliss | H. Kennedy | Xiao-Jing Wang | K. Zilles | K. Knoblauch | N. Palomero-Gallagher | S. Froudist-Walsh | Meiqi Niu | Xingyu Ding | Lucija Rapan | Sean Froudist-Walsh | Seán Froudist-Walsh
[1] Michael J. Wolff,et al. What is the functional role of delay-related alpha oscillations during working memory? , 2021 .
[2] Arif A. Hamid,et al. Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment , 2021, Cell.
[3] Matthew F. Panichello,et al. Shared mechanisms underlie the control of working memory and attention , 2021, Nature.
[4] Xiao-Jing Wang,et al. Gradients of receptor expression in the macaque cortex , 2021, bioRxiv.
[5] John K. Tsotsos,et al. Feature-based attention induces surround suppression during the perception of visual motion , 2021, bioRxiv.
[6] Karl Zilles,et al. Organization of the macaque monkey inferior parietal lobule based on multimodal receptor architectonics , 2021, NeuroImage.
[7] K. Norman,et al. Is Activity Silent Working Memory Simply Episodic Memory? , 2021, Trends in Cognitive Sciences.
[8] S. Dienel,et al. Distinct Laminar and Cellular Patterns of GABA Neuron Transcript Expression in Monkey Prefrontal and Visual Cortices. , 2020, Cerebral cortex.
[9] A. Arnsten,et al. The genie in the bottle-magnified calcium signaling in dorsolateral prefrontal cortex , 2020, Molecular Psychiatry.
[10] Karl Zilles,et al. Multimodal 3D atlas of the macaque monkey motor and premotor cortex , 2020, NeuroImage.
[11] David Kulp,et al. Innovations present in the primate interneuron repertoire , 2020, Nature.
[12] P. Roelfsema,et al. A Quantitative Comparison of Inhibitory Interneuron Size and Distribution between Mouse and Macaque V1, Using Calcium-Binding Proteins , 2020, Cerebral cortex communications.
[13] Ilana B. Witten,et al. A comparison of dopaminergic and cholinergic populations reveals unique contributions of VTA dopamine neurons to short-term memory , 2020, bioRxiv.
[14] Ben D. Fulcher,et al. Topographic gradients of intrinsic dynamics across neocortex , 2020, bioRxiv.
[15] K. Zilles,et al. Receptor-driven, multimodal mapping of cortical areas in the macaque monkey intraparietal sulcus , 2020, eLife.
[16] L. Zweifel,et al. Anatomic resolution of neurotransmitter-specific projections to the VTA reveals diversity of GABAergic inputs , 2020, Nature Neuroscience.
[17] Henry Kennedy,et al. Cortical hierarchy, dual counterstream architecture and the importance of top-down generative networks , 2020, NeuroImage.
[18] Kirsten C. S. Adam,et al. Interplay between persistent activity and activity-silent dynamics in prefrontal cortex underlies serial biases in working memory , 2020, Nature Neuroscience.
[19] Adam S. Lowet,et al. Muscarinic M1 Receptors Modulate Working Memory Performance and Activity via KCNQ Potassium Channels in the Primate Prefrontal Cortex , 2020, Neuron.
[20] John D. Murray,et al. Generative modeling of brain maps with spatial autocorrelation , 2020, NeuroImage.
[21] Xiao-Jing Wang. Macroscopic gradients of synaptic excitation and inhibition in the neocortex , 2020, Nature Reviews Neuroscience.
[22] R. Romo,et al. Turning Touch into Perception , 2020, Neuron.
[23] Carlos D. Brody,et al. Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions , 2019, Neuron.
[24] Jorge F. Mejias,et al. Mechanisms of distributed working memory in a large-scale model of the macaque neocortex , 2019, bioRxiv.
[25] Allan R. Jones,et al. Conserved cell types with divergent features in human versus mouse cortex , 2019, Nature.
[26] C. Galletti,et al. Receptor density pattern confirms and enhances the anatomic-functional features of the macaque superior parietal lobule areas , 2019, Brain Structure and Function.
[27] L. Kaczmarek,et al. Role of KCNQ potassium channels in stress-induced deficit of working memory , 2019, Neurobiology of Stress.
[28] A. Arnsten,et al. A novel dopamine D1 receptor agonist excites delay-dependent working memory-related neuronal firing in primate dorsolateral prefrontal cortex , 2019, Neuropharmacology.
[29] T. Moore,et al. Dopamine Receptor Expression Among Local and Visual Cortex-Projecting Frontal Eye Field Neurons. , 2019, Cerebral cortex.
[30] B. Doiron,et al. Circuit Models of Low-Dimensional Shared Variability in Cortical Networks , 2019, Neuron.
[31] Nicholas A. Steinmetz,et al. Sensory coding and the causal impact of mouse cortex in a visual decision , 2018, bioRxiv.
[32] G. Fishell,et al. Four Unique Interneuron Populations Reside in Neocortical Layer 1 , 2018, The Journal of Neuroscience.
[33] K. Zilles,et al. Cortical Gradients and Laminar Projections in Mammals , 2018, Trends in Neurosciences.
[34] J. Gordon,et al. Somatostatin Interneurons Facilitate Hippocampal-Prefrontal Synchrony and Prefrontal Spatial Encoding , 2018, Neuron.
[35] Markus Diesmann,et al. A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas , 2018, PLoS Comput. Biol..
[36] T. Hashimoto,et al. Expression of Transcripts Selective for GABA Neuron Subpopulations across the Cortical Visuospatial Working Memory Network in the Healthy State and Schizophrenia. , 2018, Cerebral cortex.
[37] M. R. Riley,et al. Anterior-posterior gradient of plasticity in primate prefrontal cortex , 2018, Nature Communications.
[38] Kirstie J. Whitaker,et al. Raincloud plots: a multi-platform tool for robust data visualization , 2018, PeerJ Prepr..
[39] Ben D. Fulcher,et al. Multimodal gradients across mouse cortex , 2018, Proceedings of the National Academy of Sciences.
[40] Christos Constantinidis,et al. Persistent Spiking Activity Underlies Working Memory , 2018, The Journal of Neuroscience.
[41] Earl K Miller,et al. Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not , 2018, The Journal of Neuroscience.
[42] S. Duan,et al. Active information maintenance in working memory by a sensory cortex , 2018, bioRxiv.
[43] Ben D. Fulcher,et al. A practical guide to linking brain-wide gene expression and neuroimaging data , 2018, NeuroImage.
[44] Stanislas Dehaene,et al. Probing the limits of activity-silent non-conscious working memory , 2018, Proceedings of the National Academy of Sciences.
[45] A. Bernacchia,et al. Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography , 2018, Nature Neuroscience.
[46] D. López-Barroso,et al. Plasticity in the Working Memory System: Life Span Changes and Response to Injury , 2018, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[47] Xiao-Jing Wang,et al. Engagement of Pulvino-cortical Feedforward and Feedback Pathways in Cognitive Computations , 2018, Neuron.
[48] P. Roelfsema,et al. The threshold for conscious report: Signal loss and response bias in visual and frontal cortex , 2018, Science.
[49] Nicolas Y. Masse,et al. Circuit mechanisms for the maintenance and manipulation of information in working memory , 2018, Nature Neuroscience.
[50] Joel Z. Leibo,et al. Prefrontal cortex as a meta-reinforcement learning system , 2018, Nature Neuroscience.
[51] T. Moore,et al. Differential Expression of Dopamine D5 Receptors across Neuronal Subtypes in Macaque Frontal Eye Field , 2018, Front. Neural Circuits.
[52] Sergey L. Gratiy,et al. Fully integrated silicon probes for high-density recording of neural activity , 2017, Nature.
[53] M. Husain,et al. Fractionating the Neurocognitive Mechanisms Underlying Working Memory: Independent Effects of Dopamine and Parkinson’s Disease , 2017, Cerebral cortex.
[54] Xiao-Jing Wang,et al. Inter-areal Balanced Amplification Enhances Signal Propagation in a Large-Scale Circuit Model of the Primate Cortex , 2017, Neuron.
[55] Matthew J. Aburn,et al. The modulation of neural gain facilitates a transition between functional segregation and integration in the brain , 2017, bioRxiv.
[56] Matthew L. Leavitt,et al. Sustained Activity Encoding Working Memories: Not Fully Distributed , 2017, Trends in Neurosciences.
[57] A. Arnsten,et al. Nicotinic α4β2 Cholinergic Receptor Influences on Dorsolateral Prefrontal Cortical Neuronal Firing during a Working Memory Task , 2017, The Journal of Neuroscience.
[58] R. Murray,et al. The effect of perinatal brain injury on dopaminergic function and hippocampal volume in adult life , 2017, bioRxiv.
[59] Zengcai V. Guo,et al. Maintenance of persistent activity in a frontal thalamocortical loop , 2017, Nature.
[60] Roshan Cools,et al. The Neurocognitive Cost of Enhancing Cognition with Methylphenidate: Improved Distractor Resistance but Impaired Updating , 2017, Journal of Cognitive Neuroscience.
[61] Elkan G. Akyürek,et al. Dynamic hidden states underlying working memory guided behaviour , 2017, Nature Neuroscience.
[62] William Muñoz,et al. Layer-specific modulation of neocortical dendritic inhibition during active wakefulness , 2017, Science.
[63] Xiao-Jing Wang,et al. Working Memory and Decision-Making in a Frontoparietal Circuit Model , 2017, The Journal of Neuroscience.
[64] Claus Svarer,et al. A High-Resolution In Vivo Atlas of the Human Brain's Serotonin System , 2017, The Journal of Neuroscience.
[65] M. Tsodyks,et al. A theory of working memory without consciousness or sustained activity , 2016, bioRxiv.
[66] Xiao-Jing Wang,et al. Inhibitory Control in the Cortico-Basal Ganglia-Thalamocortical Loop: Complex Regulation and Interplay with Memory and Decision Processes , 2016, Neuron.
[67] Adam C. Riggall,et al. Reactivation of latent working memories with transcranial magnetic stimulation , 2016, Science.
[68] J. Staiger,et al. Parvalbumin- and vasoactive intestinal polypeptide-expressing neocortical interneurons impose differential inhibition on Martinotti cells , 2016, Nature Communications.
[69] Elizabeth Jefferies,et al. Situating the default-mode network along a principal gradient of macroscale cortical organization , 2016, Proceedings of the National Academy of Sciences.
[70] O. Paulsen,et al. Stochastic and deterministic dynamics of intrinsically irregular firing in cortical inhibitory interneurons , 2016, eLife.
[71] Xiao-Jing Wang,et al. Feedforward and feedback frequency-dependent interactions in a large-scale laminar network of the primate cortex , 2016, Science Advances.
[72] R. Tremblay,et al. GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits , 2016, Neuron.
[73] M. Ronaghi,et al. Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain , 2016, Science.
[74] Chad J. Donahue,et al. Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey , 2016, The Journal of Neuroscience.
[75] Anais M. Rodriguez-Thompson,et al. Dopamine D1 signaling organizes network dynamics underlying working memory , 2016, Science Advances.
[76] D. Dunning,et al. A meta-analysis of working memory impairments in survivors of moderate-to-severe traumatic brain injury. , 2016, Neuropsychology.
[77] Jordan M. Sorokin,et al. Brain-Wide Maps of Synaptic Input to Cortical Interneurons , 2016, The Journal of Neuroscience.
[78] Xiao-Jing Wang,et al. A dendritic disinhibitory circuit mechanism for pathway-specific gating , 2016, Nature Communications.
[79] Ranulfo Romo,et al. A Neural Parametric Code for Storing Information of More than One Sensory Modality in Working Memory , 2016, Neuron.
[80] Daeyeol Lee,et al. Stress Impairs Prefrontal Cortical Function via D1 Dopamine Receptor Interactions With Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels , 2015, Biological Psychiatry.
[81] Alexander S. Ecker,et al. Principles of connectivity among morphologically defined cell types in adult neocortex , 2015, Science.
[82] A. Kohn,et al. Coordinated Neuronal Activity Enhances Corticocortical Communication , 2015, Neuron.
[83] Jared X. Van Snellenberg,et al. Deficits in prefrontal cortical and extrastriatal dopamine release in schizophrenia: a positron emission tomographic functional magnetic resonance imaging study. , 2015, JAMA psychiatry.
[84] H. Kennedy,et al. A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex , 2015, Neuron.
[85] Joseph J. Marlin,et al. GABA-A Receptor Inhibition of Local Calcium Signaling in Spines and Dendrites , 2014, The Journal of Neuroscience.
[86] D. Kleinfeld,et al. Cell-based reporters reveal in vivo dynamics of dopamine and norepinephrine release in murine cortex , 2014, Nature Methods.
[87] Julio C. Martinez-Trujillo,et al. Sharp emergence of feature-selective sustained activity along the dorsal visual pathway , 2014, Nature Neuroscience.
[88] S. Funahashi,et al. Neural mechanisms of dual-task interference and cognitive capacity limitation in the prefrontal cortex , 2014, Nature Neuroscience.
[89] J. Kaas,et al. Corticocortical projections to representations of the teeth, tongue, and face in somatosensory area 3b of macaques , 2014, The Journal of comparative neurology.
[90] Nikola T. Markov,et al. Cortical High-Density Counterstream Architectures , 2013, Science.
[91] G. Fishell,et al. A disinhibitory circuit mediates motor integration in the somatosensory cortex , 2013, Nature Neuroscience.
[92] A. Arnsten,et al. Nicotinic α7 receptors enhance NMDA cognitive circuits in dorsolateral prefrontal cortex , 2013, Proceedings of the National Academy of Sciences.
[93] M. Scanziani,et al. Inhibition of Inhibition in Visual Cortex: The Logic of Connections Between Molecularly Distinct Interneurons , 2013, Nature Neuroscience.
[94] Nikola T. Markov,et al. Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex , 2013, The Journal of comparative neurology.
[95] J. Gottlieb,et al. Distinct neural mechanisms of distractor suppression in the frontal and parietal lobe , 2012, Nature Neuroscience.
[96] H. Adesnik,et al. A neural circuit for spatial summation in visual cortex , 2012, Nature.
[97] A. Arnsten,et al. Neuromodulation of Thought: Flexibilities and Vulnerabilities in Prefrontal Cortical Network Synapses , 2012, Neuron.
[98] Nikola T. Markov,et al. A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex , 2012, Cerebral cortex.
[99] R. Romo,et al. Dopaminergic activity coincides with stimulus detection by the frontal lobe , 2012, Neuroscience.
[100] Sachie K. Ogawa,et al. Whole-Brain Mapping of Direct Inputs to Midbrain Dopamine Neurons , 2012, Neuron.
[101] Matthew W Self,et al. Different glutamate receptors convey feedforward and recurrent processing in macaque V1 , 2012, Proceedings of the National Academy of Sciences.
[102] S. Funahashi,et al. Thalamic mediodorsal nucleus and working memory , 2012, Neuroscience & Biobehavioral Reviews.
[103] A. Agmon,et al. Short-Term Plasticity of Unitary Inhibitory-to-Inhibitory Synapses Depends on the Presynaptic Interneuron Subtype , 2012, The Journal of Neuroscience.
[104] M. Baxter,et al. Cholinergic modulation of a specific memory function of prefrontal cortex , 2011, Nature Neuroscience.
[105] Gustavo Deco,et al. Role of local network oscillations in resting-state functional connectivity , 2011, NeuroImage.
[106] Tatiana A. Engel,et al. Same or Different? A Neural Circuit Mechanism of Similarity-Based Pattern Match Decision Making , 2011, The Journal of Neuroscience.
[107] T. Moore,et al. CONTROL OF VISUAL CORTICAL SIGNALS BY PREFRONTAL DOPAMINE , 2011, Nature.
[108] J. Kaas,et al. Neuron densities vary across and within cortical areas in primates , 2010, Proceedings of the National Academy of Sciences.
[109] Philip K. McGuire,et al. The test–retest reliability of 18F-DOPA PET in assessing striatal and extrastriatal presynaptic dopaminergic function , 2010, NeuroImage.
[110] M. D’Esposito,et al. Is the rostro-caudal axis of the frontal lobe hierarchical? , 2009, Nature Reviews Neuroscience.
[111] T. Robbins,et al. The neuropsychopharmacology of fronto-executive function: monoaminergic modulation. , 2009, Annual review of neuroscience.
[112] Mark T. Harnett,et al. Burst-Timing-Dependent Plasticity of NMDA Receptor-Mediated Transmission in Midbrain Dopamine Neurons , 2009, Neuron.
[113] B. Sakmann,et al. Neuronal correlates of local, lateral, and translaminar inhibition with reference to cortical columns. , 2009, Cerebral cortex.
[114] L. Abbott,et al. Hyperpolarization-activated cation channels inhibit EPSPs by interactions with M-type K+ channels , 2009, Nature Neuroscience.
[115] K. Svoboda,et al. The subcellular organization of neocortical excitatory connections , 2009, Nature.
[116] Wenjun Gao,et al. Cell-type Specific Development of NMDA Receptors in the Interneurons of Rat Prefrontal Cortex , 2009, Neuropsychopharmacology.
[117] J. Schall,et al. Visual and Motor Connectivity and the Distribution of Calcium-Binding Proteins in Macaque Frontal Eye Field: Implications for Saccade Target Selection , 2009, Front. Neuroanat..
[118] M. Tsodyks,et al. Synaptic Theory of Working Memory , 2008, Science.
[119] Robert Desimone,et al. Top–Down Attentional Deficits in Macaques with Lesions of Lateral Prefrontal Cortex , 2007, The Journal of Neuroscience.
[120] M. Poo,et al. Spike-Timing-Dependent Plasticity of Neocortical Excitatory Synapses on Inhibitory Interneurons Depends on Target Cell Type , 2007, The Journal of Neuroscience.
[121] Xiao-Jing Wang,et al. An Integrated Microcircuit Model of Attentional Processing in the Neocortex , 2007, The Journal of Neuroscience.
[122] Olaf Sporns,et al. Network structure of cerebral cortex shapes functional connectivity on multiple time scales , 2007, Proceedings of the National Academy of Sciences.
[123] H. Markram,et al. Disynaptic Inhibition between Neocortical Pyramidal Cells Mediated by Martinotti Cells , 2007, Neuron.
[124] Graham V. Williams,et al. Inverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory , 2007, Nature Neuroscience.
[125] Xiao-Jing Wang,et al. A Biophysically Based Neural Model of Matching Law Behavior: Melioration by Stochastic Synapses , 2006, The Journal of Neuroscience.
[126] Xiao-Jing Wang,et al. A Recurrent Network Mechanism of Time Integration in Perceptual Decisions , 2006, The Journal of Neuroscience.
[127] Charles R. Yang,et al. Targeting Prefrontal Cortical Dopamine D1 and N-Methyl-D-Aspartate Receptor Interactions in Schizophrenia Treatment , 2005, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[128] H. Markram,et al. The neocortical microcircuit as a tabula rasa. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[129] S. Funahashi,et al. Population vector analysis of primate prefrontal activity during spatial working memory. , 2004, Cerebral cortex.
[130] H. Markram,et al. Anatomical, physiological and molecular properties of Martinotti cells in the somatosensory cortex of the juvenile rat , 2004, The Journal of physiology.
[131] P. Goldman-Rakic,et al. Division of labor among distinct subtypes of inhibitory neurons in a cortical microcircuit of working memory. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[132] D. Prince,et al. Major Differences in Inhibitory Synaptic Transmission onto Two Neocortical Interneuron Subclasses , 2003, The Journal of Neuroscience.
[133] P. Goldman-Rakic,et al. Dopamine Modulation of Perisomatic and Peridendritic Inhibition in Prefrontal Cortex , 2003, The Journal of Neuroscience.
[134] Emilio Salinas,et al. Cognitive neuroscience: Flutter Discrimination: neural codes, perception, memory and decision making , 2003, Nature Reviews Neuroscience.
[135] R. V. Van Heertum,et al. Prefrontal Dopamine D1 Receptors and Working Memory in Schizophrenia , 2002, The Journal of Neuroscience.
[136] G. Elston,et al. The human temporal cortex: characterization of neurons expressing nitric oxide synthase, neuropeptides and calcium-binding proteins, and their glutamate receptor subunit profiles. , 2001, Cerebral cortex.
[137] Xiao-Jing Wang. Synaptic reverberation underlying mnemonic persistent activity , 2001, Trends in Neurosciences.
[138] Y. Hurd,et al. D1 and D2 dopamine receptor mRNA expression in whole hemisphere sections of the human brain , 2001, Journal of Chemical Neuroanatomy.
[139] T. Sejnowski,et al. Dopamine D1/D5 receptor modulation of excitatory synaptic inputs to layer V prefrontal cortex neurons. , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[140] H. Kennedy,et al. Laminar Distribution of Neurons in Extrastriate Areas Projecting to Visual Areas V1 and V4 Correlates with the Hierarchical Rank and Indicates the Operation of a Distance Rule , 2000, The Journal of Neuroscience.
[141] S. Nelson,et al. Multiple forms of short-term plasticity at excitatory synapses in rat medial prefrontal cortex. , 2000, Journal of neurophysiology.
[142] P. Goldman-Rakic,et al. Inactivation of parietal and prefrontal cortex reveals interdependence of neural activity during memory-guided saccades. , 2000, Journal of neurophysiology.
[143] X. Wang,et al. Synaptic Basis of Cortical Persistent Activity: the Importance of NMDA Receptors to Working Memory , 1999, The Journal of Neuroscience.
[144] Shoji Tanaka,et al. Architecture and dynamics of the primate prefrontal cortical circuit for spatial working memory , 1999, Neural Networks.
[145] R. Romo,et al. Neuronal correlates of parametric working memory in the prefrontal cortex , 1999, Nature.
[146] J. Kaas,et al. Cortical connections of the dorsomedial visual area in Old World macaque monkeys , 1999, The Journal of comparative neurology.
[147] W. Schultz. Predictive reward signal of dopamine neurons. , 1998, Journal of neurophysiology.
[148] H. Markram,et al. Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex. , 1997, The Journal of physiology.
[149] Paul Leonard Gabbott,et al. Vasoactive intestinal polypeptide containing neurones in monkey medial prefrontal cortex (mPFC): colocalisation with calretinin , 1997, Brain Research.
[150] Y. Kawaguchi. Physiological subgroups of nonpyramidal cells with specific morphological characteristics in layer II/III of rat frontal cortex , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[151] P. Goldman-Rakic. Cellular basis of working memory , 1995, Neuron.
[152] Bao-Ming Li,et al. Delayed-response deficit induced by local injection of the alpha 2-adrenergic antagonist yohimbine into the dorsolateral prefrontal cortex in young adult monkeys. , 1994, Behavioral and neural biology.
[153] W. Schultz,et al. Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[154] Y. Kawaguchi,et al. Groupings of nonpyramidal and pyramidal cells with specific physiological and morphological characteristics in rat frontal cortex. , 1993, Journal of neurophysiology.
[155] P. Goldman-Rakic,et al. Distribution of dopaminergic receptors in the primate cerebral cortex: Quantitative autoradiographic analysis using [3H]raclopride, [3H]spiperone and [3H]SCH23390 , 1991, Neuroscience.
[156] P. Goldman-Rakic,et al. Myelo‐ and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca , 1991, The Journal of comparative neurology.
[157] P. Goldman-Rakic,et al. Overlap of dopaminergic, adrenergic, and serotoninergic receptors and complementarity of their subtypes in primate prefrontal cortex , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[158] E. G. Jones,et al. Synapses of double bouquet cells in monkey cerebral cortex visualized by calbindin immunoreactivity , 1989, Brain Research.
[159] P. Goldman-Rakic,et al. Posterior parietal cortex in rhesus monkey: I. Parcellation of areas based on distinctive limbic and sensory corticocortical connections , 1989, The Journal of comparative neurology.
[160] E. Richfield,et al. Comparative distributions of dopamine D‐1 and D‐2 receptors in the cerebral cortex of rats, cats, and monkeys , 1989, The Journal of comparative neurology.
[161] P. Goldman-Rakic,et al. Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. , 1989, Journal of neurophysiology.
[162] P. Turner. Biochemistry and the Central Nervous System , 1986 .
[163] P. Emson,et al. Morphology, distribution, and synaptic relations of somatostatin- and neuropeptide Y-immunoreactive neurons in rat and monkey neocortex , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[164] B. Merker. Silver staining of cell bodies by means of physical development , 1983, Journal of Neuroscience Methods.
[165] H. E. Rosvold,et al. Cognitive deficit caused by regional depletion of dopamine in prefrontal cortex of rhesus monkey. , 1979, Science.
[166] D. Pandya,et al. Afferent cortical connections and architectonics of the superior temporal sulcus and surrounding cortex in the rhesus monkey , 1978, Brain Research.
[167] G. E. Alexander,et al. Neuron Activity Related to Short-Term Memory , 1971, Science.
[168] Karl Zilles,et al. Cyto- and receptor architectonic mapping of the human brain. , 2018, Handbook of clinical neurology.
[169] Jacinto José Fonseca Pereira,et al. Computational modeling of prefrontal cortex circuits , 2014 .
[170] A. Thomson,et al. Synaptic a 5 Subunit--Containing GABA A Receptors Mediate IPSPs Elicited by Dendrite-Preferring Cells in Rat Neocortex , 2008 .
[171] G. Elston. Specialization of the Neocortical Pyramidal Cell during Primate Evolution , 2007 .
[172] Jonathan D. Cohen,et al. On the Control of Control: The Role of Dopamine in Regulating Prefrontal Function and Working Memory , 2007 .
[173] Nava Rubin,et al. Dynamical characteristics common to neuronal competition models. , 2007, Journal of neurophysiology.
[174] Frances S. Chance,et al. Drivers and modulators from push-pull and balanced synaptic input. , 2005, Progress in brain research.
[175] Michael J. Frank,et al. Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism , 2005, Journal of Cognitive Neuroscience.
[176] Xiao-Jing Wang,et al. Spike-Frequency Adaptation of a Generalized Leaky Integrate-and-Fire Model Neuron , 2004, Journal of Computational Neuroscience.
[177] Carson C. Chow,et al. A Spiking Neuron Model for Binocular Rivalry , 2004, Journal of Computational Neuroscience.
[178] Xiao-Jing Wang,et al. Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition , 2004, Journal of Computational Neuroscience.
[179] S. Stone-Elander,et al. Stereoselective binding of 11C-raclopride in living human brain — a search for extrastriatal central D2-dopamine receptors by PET , 2004, Psychopharmacology.
[180] A. Schleicher,et al. 21 – Quantitative Analysis of Cyto- and Receptor Architecture of the Human Brain , 2002 .
[181] K. Svoboda,et al. Structure and function of dendritic spines. , 2002, Annual review of physiology.
[182] A. Arnsten. Through the Looking Glass: Differential Noradenergic Modulation of Prefrontal Cortical Function , 2000, Neural plasticity.
[183] D. J. Felleman,et al. Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.
[184] F. Gallyas. Silver staining of myelin by means of physical development. , 1979, Neurological research.
[185] D. Albe-Fessard,et al. The Somatosensory system , 1975 .
[186] Ajay N. Jain,et al. E.: “A Summary of , 1968 .
[187] F. Sanides. Die Architektonik des menschlichen Stirnhirns : zugleich eine darstellung der Prinzipien seiner Gestaltung als Spiegel der Stammesgeschichtlichen Differenzierung der Grosshirnrinde , 1962 .
[188] F. Sanides. Die Architektonik des Menschlichen Stirnhirns , 1962 .
[189] Gustavo Deco,et al. Human Neuroscience Original Research Article Cortical Microcircuit Dynamics Mediating Binocular Rivalry: the Role of Adaptation in Inhibition , 2022 .
[190] H. Sompolinsky,et al. 13 Modeling Feature Selectivity in Local Cortical Circuits , 2022 .
[191] T. Vogels,et al. Neuroscience and Biobehavioral Reviews Neural mechanisms of attending to items in working memory , 2022 .
[192] A. Compte,et al. Pinging reveals active, not silent, working memories , 2022 .