Reproducibility of in-vivo 1 electrophysiological measurements 2 in mice 3
暂无分享,去创建一个
Nicholas A. Steinmetz | Matthew R Whiteway | Anne E. Urai | Christopher S. Krasniak | Guido T. Meijer | Nathaniel J. Miska | Gaëlle A. Chapuis | Sebastian A. Bruijns | L. Paninski | A. Churchland | Jean-Paul Noel | Felicia Davatolhagh | Anup Khanal | S. West | N. Bonacchi | M. Wells | Mayo Faulkner | Kush Banga | Julius Benson | Rob Campbell | Hyun Dong Lee | Fei Hu | Julia Hunterberg | Alejandro Pan-Vazquez | Marsa Taheri | Olivier Winter | Mohammadi | Michael Schartner | Karolina Z Socha | Noam | Roth
[1] J. Aggleton,et al. No evidence from complementary data sources of a direct projection from the mouse anterior cingulate cortex to the hippocampal formation , 2022, bioRxiv.
[2] Anne E. Urai,et al. Large-scale neural recordings call for new insights to link brain and behavior , 2022, Nature Neuroscience.
[3] Timothy M. Errington,et al. Investigating the replicability of preclinical cancer biology , 2021, eLife.
[4] J. Vogelstein,et al. Moving Beyond Processing and Analysis-Related Variation in Neuroscience , 2021, bioRxiv.
[5] Michael N. Economo,et al. Accurate Localization of Linear Probe Electrode Arrays across Multiple Brains , 2021, eNeuro.
[6] Richard J. Gardner,et al. Grid-cell modules remain coordinated when neural activity is dissociated from external sensory cues , 2021, Neuron.
[7] Edward A. B. Horrocks,et al. Creating and controlling visual environments using BonVision , 2021, eLife.
[8] Anne E. Urai,et al. Large-scale neural recordings call for new insights to link brain and behavior , 2021, Nature Neuroscience.
[9] Yazan N. Billeh,et al. Survey of spiking in the mouse visual system reveals functional hierarchy , 2021, Nature.
[10] Kenneth D. Harris,et al. Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings , 2020, Science.
[11] Nicholas A. Roy,et al. Mice alternate between discrete strategies during perceptual decision-making , 2020, bioRxiv.
[12] N. Altman,et al. Reproducibility of animal research in light of biological variation , 2020, Nature Reviews Neuroscience.
[13] L. Ng,et al. The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas , 2020, Cell.
[14] Fanny Cazettes,et al. Standardized and reproducible measurement of decision-making in mice , 2020, bioRxiv.
[15] Nicholas B. Turk-Browne,et al. The hippocampus as a visual area organized by space and time: A spatiotemporal similarity hypothesis , 2019, Vision Research.
[16] Eric Shea-Brown,et al. A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex , 2019, Nature Neuroscience.
[17] Liu D Liu. Painting Neuropixels probes and other silicon probes for electrophysiological recordings v1 , 2019, protocols.io.
[18] Nicholas A. Steinmetz,et al. Distributed coding of choice, action, and engagement across the mouse brain , 2019, Nature.
[19] Timothy E. J. Behrens,et al. Human Replay Spontaneously Reorganizes Experience , 2019, Cell.
[20] Kevin M. Cury,et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning , 2018, Nature Neuroscience.
[21] Sergey L. Gratiy,et al. Fully integrated silicon probes for high-density recording of neural activity , 2017, Nature.
[22] Leon A. Gatys,et al. Deep convolutional models improve predictions of macaque V1 responses to natural images , 2017, bioRxiv.
[23] György Buzsáki,et al. Physiological Properties and Behavioral Correlates of Hippocampal Granule Cells and Mossy Cells , 2017, Neuron.
[24] Kenneth D. Harris,et al. Fast and accurate spike sorting of high-channel count probes with KiloSort , 2016, NIPS.
[25] Liam Paninski,et al. Multilayer Recurrent Network Models of Primate Retinal Ganglion Cell Responses , 2016, ICLR.
[26] Thomas J. Wills,et al. Absence of Visual Input Results in the Disruption of Grid Cell Firing in the Mouse , 2016, Current Biology.
[27] Thomas E. Nichols,et al. Best practices in data analysis and sharing in neuroimaging using MRI , 2017, Nature Neuroscience.
[28] M. Baker. 1,500 scientists lift the lid on reproducibility , 2016, Nature.
[29] Naoshige Uchida,et al. Demixed principal component analysis of neural population data , 2014, eLife.
[30] Andres D. Grosmark,et al. Diversity in neural firing dynamics supports both rigid and learned hippocampal sequences , 2016, Science.
[31] Mriganka Sur,et al. Distinct roles of visual, parietal, and frontal motor cortices in memory-guided sensorimotor decisions , 2016, eLife.
[32] Johannes C. Dahmen,et al. Thalamic nuclei convey diverse contextual information to layer 1 of visual cortex , 2015, Nature Neuroscience.
[33] Karel Svoboda,et al. A platform for brain-wide imaging and reconstruction of individual neurons , 2016, eLife.
[34] Conor Liston,et al. Projections from neocortex mediate top-down control of memory retrieval , 2015, Nature.
[35] D. Hassabis,et al. Hippocampal place cells construct reward related sequences through unexplored space , 2015, eLife.
[36] Matthew T. Kaufman,et al. A category-free neural population supports evolving demands during decision-making , 2014, Nature Neuroscience.
[37] Gonçalo Lopes,et al. Bonsai: an event-based framework for processing and controlling data streams , 2014, bioRxiv.
[38] J. O’Keefe,et al. Grid cell firing patterns signal environmental novelty by expansion , 2012, Proceedings of the National Academy of Sciences.
[39] Christopher D. Harvey,et al. Choice-specific sequences in parietal cortex during a virtual-navigation decision task , 2012, Nature.
[40] Y. Saalmann,et al. Cognitive and Perceptual Functions of the Visual Thalamus , 2011, Neuron.
[41] A. Pouget,et al. Variance as a Signature of Neural Computations during Decision Making , 2011, Neuron.
[42] G. Dragoi,et al. Preplay of future place cell sequences by hippocampal cellular assemblies , 2011, Nature.
[43] E. S. Ruthazer,et al. A Developmental Sensitive Period for Spike Timing-Dependent Plasticity in the Retinotectal Projection , 2010, Front. Syn. Neurosci..
[44] Andrew M. Clark,et al. Stimulus onset quenches neural variability: a widespread cortical phenomenon , 2010, Nature Neuroscience.
[45] Suramya Tomar,et al. Converting video formats with FFmpeg , 2006 .
[46] T. Hafting,et al. Microstructure of a spatial map in the entorhinal cortex , 2005, Nature.
[47] Jason E. Stewart,et al. Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.
[48] G. Buzsáki,et al. Feed‐forward and feed‐back activation of the dentate gyrus in vivo during dentate spikes and sharp wave bursts , 1998, Hippocampus.
[49] Li I. Zhang,et al. A critical window for cooperation and competition among developing retinotectal synapses , 1998, Nature.
[50] G Buzsáki,et al. Dentate EEG spikes and associated interneuronal population bursts in the hippocampal hilar region of the rat. , 1995, Journal of neurophysiology.
[51] J. Movshon,et al. The statistical reliability of signals in single neurons in cat and monkey visual cortex , 1983, Vision Research.
[52] A. Izenman. Reduced-rank regression for the multivariate linear model , 1975 .
[53] Max A. Viergever,et al. elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.
[54] Skipper Seabold,et al. Statsmodels: Econometric and Statistical Modeling with Python , 2010, SciPy.
[55] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .