Global Representations of Goal-Directed Behavior in Distinct Cell Types of Mouse Neocortex

[1]  Andrew C. N. Chen,et al.  Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons , 2017, eLife.

[2]  Mariel G Kozberg,et al.  Resting-state hemodynamics are spatiotemporally coupled to synchronized and symmetric neural activity in excitatory neurons , 2016, Proceedings of the National Academy of Sciences.

[3]  Gretchen A. Stevens,et al.  A century of trends in adult human height , 2016, eLife.

[4]  Jonathan W. Pillow,et al.  Dissociated functional significance of decision-related activity in the primate dorsal stream , 2016, Nature.

[5]  Denise M. Piscopo,et al.  Large-scale imaging of cortical dynamics during sensory perception and behavior. , 2016, Journal of neurophysiology.

[6]  Mitra Javadzadeh,et al.  Long-range population dynamics of anatomically defined neocortical networks , 2016, eLife.

[7]  Jeffrey N. Stirman,et al.  Wide field-of-view, multi-region two-photon imaging of neuronal activity in the mammalian brain , 2016, Nature Biotechnology.

[8]  K. Deisseroth,et al.  Targeting Neural Circuits , 2016, Cell.

[9]  Naoshige Uchida,et al.  Demixed principal component analysis of neural population data , 2014, eLife.

[10]  Talia N. Lerner,et al.  Nucleus accumbens D2R cells signal prior outcomes and control risky decision-making , 2016, Nature.

[11]  Mriganka Sur,et al.  Distinct roles of visual, parietal, and frontal motor cortices in memory-guided sensorimotor decisions , 2016, eLife.

[12]  Talia N. Lerner,et al.  Simultaneous fast measurement of circuit dynamics at multiple sites across the mammalian brain , 2016, Nature Methods.

[13]  David Pfau,et al.  Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data , 2016, Neuron.

[14]  Sripriya Ravindra Kumar,et al.  Cre-dependent selection yields AAV variants for widespread gene transfer to the adult brain , 2015, Nature Biotechnology.

[15]  Nelson Spruston,et al.  Dendritic integration: 60 years of progress , 2015, Nature Neuroscience.

[16]  Theodore H. Lindsay,et al.  Global Brain Dynamics Embed the Motor Command Sequence of Caenorhabditis elegans , 2015, Cell.

[17]  Conor Liston,et al.  Projections from neocortex mediate top-down control of memory retrieval , 2015, Nature.

[18]  L. Reijmers,et al.  A retrograde adeno-associated virus for collecting ribosome-bound mRNA from anatomically defined projection neurons , 2015, Front. Mol. Neurosci..

[19]  Talia N. Lerner,et al.  Intact-Brain Analyses Reveal Distinct Information Carried by SNc Dopamine Subcircuits , 2015, Cell.

[20]  Yang Dan,et al.  Cell-Type-Specific Activity in Prefrontal Cortex during Goal-Directed Behavior , 2015, Neuron.

[21]  Takaki Komiyama,et al.  Learning enhances the relative impact of top-down processing in the visual cortex , 2015, Nature Neuroscience.

[22]  R. Yuste.  From the neuron doctrine to neural networks , 2015, Nature Reviews Neuroscience.

[23]  Georg B. Keller,et al.  Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex , 2015, Neuron.

[24]  Markus Siegel,et al.  Cortical information flow during flexible sensorimotor decisions , 2015, Science.

[25]  K. Svoboda,et al.  A Cellular Resolution Map of Barrel Cortex Activity during Tactile Behavior , 2015, Neuron.

[26]  Nathan C. Klapoetke,et al.  Transgenic Mice for Intersectional Targeting of Neural Sensors and Effectors with High Specificity and Performance , 2015, Neuron.

[27]  Zengcai V. Guo,et al.  A motor cortex circuit for motor planning and movement , 2015, Nature.

[28]  J. Gordon,et al.  Synchrony in schizophrenia: a window into circuit-level pathophysiology , 2015, Current Opinion in Neurobiology.

[29]  T. Murphy,et al.  Mesoscale Transcranial Spontaneous Activity Mapping in GCaMP3 Transgenic Mice Reveals Extensive Reciprocal Connections between Areas of Somatomotor Cortex , 2014, The Journal of Neuroscience.

[30]  Brenda C. Shields,et al.  Thy1-GCaMP6 Transgenic Mice for Neuronal Population Imaging In Vivo , 2014, PloS one.

[31]  Y. Dan,et al.  Long-range and local circuits for top-down modulation of visual cortex processing , 2014, Science.

[32]  Karel Svoboda,et al.  Natural Whisker-Guided Behavior by Head-Fixed Mice in Tactile Virtual Reality , 2014, The Journal of Neuroscience.

[33]  Simon X. Chen,et al.  Emergence of reproducible spatiotemporal activity during motor learning , 2014, Nature.

[34]  Allan R. Jones,et al.  A mesoscale connectome of the mouse brain , 2014, Nature.

[35]  Arthur W. Toga,et al.  Neural Networks of the Mouse Neocortex , 2014, Cell.

[36]  Stefan R. Pulver,et al.  Independent Optical Excitation of Distinct Neural Populations , 2014, Nature Methods.

[37]  Zengcai V. Guo,et al.  Flow of Cortical Activity Underlying a Tactile Decision in Mice , 2014, Neuron.

[38]  G. Fishell,et al.  Interneuron cell types are fit to function , 2014, Nature.

[39]  M. A. Pisauro,et al.  Fast Hemodynamic Responses in the Visual Cortex of the Awake Mouse , 2013, The Journal of Neuroscience.

[40]  K. Harris,et al.  Cortical connectivity and sensory coding , 2013, Nature.

[41]  D. McVea,et al.  Spontaneous cortical activity alternates between motifs defined by regional axonal projections , 2013, Nature Neuroscience.

[42]  Stefan R. Pulver,et al.  Ultra-sensitive fluorescent proteins for imaging neuronal activity , 2013, Nature.

[43]  Hongkui Zeng,et al.  Genetic approaches to neural circuits in the mouse. , 2013, Annual review of neuroscience.

[44]  M. Scanziani,et al.  Inhibition of Inhibition in Visual Cortex: The Logic of Connections Between Molecularly Distinct Interneurons , 2013, Nature Neuroscience.

[45]  F. Helmchen,et al.  Behaviour-dependent recruitment of long-range projection neurons in somatosensory cortex , 2013, Nature.

[46]  B. Hangya,et al.  Distinct behavioural and network correlates of two interneuron types in prefrontal cortex , 2013, Nature.

[47]  C. Gilbert,et al.  Top-down influences on visual processing , 2013, Nature Reviews Neuroscience.

[48]  Philipp J. Keller,et al.  Whole-brain functional imaging at cellular resolution using light-sheet microscopy , 2013, Nature Methods.

[49]  Earl K Miller,et al.  Cortical circuits for the control of attention , 2012, Current Opinion in Neurobiology.

[50]  Walther Akemann,et al.  Imaging neural circuit dynamics with a voltage-sensitive fluorescent protein. , 2012, Journal of neurophysiology.

[51]  Lin Tian,et al.  Activity in motor-sensory projections reveals distributed coding in somatosensation , 2012, Nature.

[52]  Francisco E. Robles,et al.  Assessing hemoglobin concentration using spectroscopic optical coherence tomography for feasibility of tissue diagnostics , 2010, Biomedical optics express.

[53]  J. Kalaska,et al.  Neural mechanisms for interacting with a world full of action choices. , 2010, Annual review of neuroscience.

[54]  R. Romo,et al.  Decoding a Perceptual Decision Process across Cortex , 2010, Neuron.

[55]  Karel Svoboda,et al.  Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice , 2010, Nature.

[56]  F. Haiss,et al.  Spatiotemporal Dynamics of Cortical Sensorimotor Integration in Behaving Mice , 2007, Neuron.

[57]  R. Douglas,et al.  Recurrent neuronal circuits in the neocortex , 2007, Current Biology.

[58]  Feng Zhang,et al.  An optical neural interface: in vivo control of rodent motor cortex with integrated fiberoptic and optogenetic technology , 2007, Journal of neural engineering.

[59]  E. Miller,et al.  Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices , 2007, Science.

[60]  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.

[61]  Sooyoung Chung,et al.  Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex , 2005, Nature.

[62]  A. Grinvald,et al.  Spatio-Temporal Dynamics of Odor Representations in the Mammalian Olfactory Bulb , 2002, Neuron.

[63]  W. Singer,et al.  Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.

[64]  L. Swanson.  Cerebral hemisphere regulation of motivated behavior 1 1 Published on the World Wide Web on 2 November 2000. , 2000, Brain Research.

[65]  Ichiro Shimoyama,et al.  The time course of interhemispheric EEG coherence during a GO/NO-GO task in humans , 1997, Neuroscience Letters.

[66]  W. Singer,et al.  Visuomotor integration is associated with zero time-lag synchronization among cortical areas , 1997, Nature.

[67]  L. Cauller.  Layer I of primary sensory neocortex: where top-down converges upon bottom-up , 1995, Behavioural Brain Research.

[68]  S. Bressler,et al.  Episodic multiregional cortical coherence at multiple frequencies during visual task performance , 1993, Nature.

[69]  A. Grinvald,et al.  A tandem-lens epifluorescence macroscope: Hundred-fold brightness advantage for wide-field imaging , 1991, Journal of Neuroscience Methods.

[70]  D. Ts'o,et al.  Cortical functional architecture and local coupling between neuronal activity and the microcirculation revealed by in vivo high-resolution optical imaging of intrinsic signals. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[71]  Robert D. Pearlstein,et al.  Cerebral cortical microfluorometry at isosbestic wavelengths for correction of vascular artifact. , 1979, Science.

[72]  G. Fishell,et al.  Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons , 2011, Developmental neurobiology.

[73]  Naoum P Issa,et al.  Functional Imaging of Primary Visual Cortex Using Flavoprotein Autofluorescence , 2007, The Journal of Neuroscience.

[74]  S. Bressler,et al.  Large-scale visuomotor integration in the cerebral cortex. , 2007, Cerebral cortex.

[75]  E. Miller,et al.  An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.

[76]  Michael Unser,et al.  A pyramid approach to subpixel registration based on intensity , 1998, IEEE Trans. Image Process..

[77]  R. W. Morris,et al.  The Wilcoxon rank sum test , 1976 .