Export 22 results:
Author Title Type [ Year
] Filters: Author is Turaga, Srinivas C [Clear All Filters]
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2025. Compressive streak microscopy for fast sampling of fluorescent reporters of neural activity.. Neurophotonics. 12(2):025013.
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2023. Local shape descriptors for neuron segmentation.. Nature Methods. 20(2):295-303.
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2020. Behavioral state coding by molecularly defined paraventricular hypothalamic cell type ensembles.. Science. 370(6514)
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2019. Constraining computational models using electron microscopy wiring diagrams.. Current Opinion in Neurobiology. 58:94-100.
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2019. Large scale image segmentation with structured loss based deep learning for connectome reconstruction.. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(7):1669-80.
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2018. A connectome based hexagonal lattice convolutional network model of the Drosophila visual system.. arXiv. :1806.04793.
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2018. Discrete flow posteriors for variational inference in discrete dynamical systems.. arXiv. :1805.10958.
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2018. In toto imaging and reconstruction of post-implantation mouse development at the single-cell level.. Cell. 175(3):859-876.
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2018. Synaptic partner prediction from point annotations in insect brains.. MICCAI 2018: Medical Image Computing and Computer Assisted Intervention.
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2017. Community-based benchmarking improves spike inference from two-photon calcium imaging data.. PLoS Computational Biology. 14(5):e1006157.
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2017. Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations.. 31st Conference on Neural Information Processing Systems (NIPS 2017).
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2017. Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.. Neural Information Processing Systems (NIPS 2017).
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2017. Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit.. 31st Conference on Neural Information Processing Systems (NIPS 2017).
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2017. Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit. Advances in Neural Information Processing Systems.
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2016. Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems.. IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro.
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2015. Crowdsourcing the creation of image segmentation algorithms for connectomics.. Frontiers in Neuroanatomy. 9:142.
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2015. Mapping social behavior-induced brain activation at cellular resolution in the mouse.. Cell Reports. 10(2):292-305.
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2014. Space-time wiring specificity supports direction selectivity in the retina.. Nature. 509(7500):331-6.
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2013. Connectomic reconstruction of the inner plexiform layer in the mouse retina.. Nature. 500(7461):168-74.
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2013. Inferring neural population dynamics from multiple partial recordings of the same neural circuit.. Advances in Neural Information Processing Systems (NIPS) . 26
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2010. Convolutional networks can learn to generate affinity graphs for image segmentation.. Neural Computation. 22(2):511-38.
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2010. Machines that learn to segment images: a crucial technology for connectomics.. Current Opinion in Neurobiology. 20(5):653-66.
