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      The connectome of the adult Drosophila mushroom body provides insights into function.

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          Abstract

          Making inferences about the computations performed by neuronal circuits from synapse-level connectivity maps is an emerging opportunity in neuroscience. The mushroom body (MB) is well positioned for developing and testing such an approach due to its conserved neuronal architecture, recently completed dense connectome, and extensive prior experimental studies of its roles in learning, memory, and activity regulation. Here, we identify new components of the MB circuit in Drosophila, including extensive visual input and MB output neurons (MBONs) with direct connections to descending neurons. We find unexpected structure in sensory inputs, in the transfer of information about different sensory modalities to MBONs, and in the modulation of that transfer by dopaminergic neurons (DANs). We provide insights into the circuitry used to integrate MB outputs, connectivity between the MB and the central complex and inputs to DANs, including feedback from MBONs. Our results provide a foundation for further theoretical and experimental work.

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          Most cited references216

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          Normalized cuts and image segmentation

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            Synaptic plasticity and memory: an evaluation of the hypothesis.

            Changing the strength of connections between neurons is widely assumed to be the mechanism by which memory traces are encoded and stored in the central nervous system. In its most general form, the synaptic plasticity and memory hypothesis states that "activity-dependent synaptic plasticity is induced at appropriate synapses during memory formation and is both necessary and sufficient for the information storage underlying the type of memory mediated by the brain area in which that plasticity is observed." We outline a set of criteria by which this hypothesis can be judged and describe a range of experimental strategies used to investigate it. We review both classical and newly discovered properties of synaptic plasticity and stress the importance of the neural architecture and synaptic learning rules of the network in which it is embedded. The greater part of the article focuses on types of memory mediated by the hippocampus, amygdala, and cortex. We conclude that a wealth of data supports the notion that synaptic plasticity is necessary for learning and memory, but that little data currently supports the notion of sufficiency.
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              dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering

              Tal Galili (2015)
              Summary: dendextend is an R package for creating and comparing visually appealing tree diagrams. dendextend provides utility functions for manipulating dendrogram objects (their color, shape and content) as well as several advanced methods for comparing trees to one another (both statistically and visually). As such, dendextend offers a flexible framework for enhancing R's rich ecosystem of packages for performing hierarchical clustering of items. Availability and implementation: The dendextend R package (including detailed introductory vignettes) is available under the GPL-2 Open Source license and is freely available to download from CRAN at: (http://cran.r-project.org/package=dendextend) Contact: Tal.Galili@math.tau.ac.il
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                Author and article information

                Journal
                Elife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                2050-084X
                December 14 2020
                : 9
                Affiliations
                [1 ] Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
                [2 ] Department of Neuroscience, Columbia University, Zuckerman Institute, New York, United States.
                [3 ] Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, United Kingdom.
                [4 ] Centre for Neural Circuits & Behaviour, University of Oxford, Oxford, United Kingdom.
                [5 ] Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, United Kingdom.
                Article
                62576
                10.7554/eLife.62576
                7909955
                33315010
                38f7d163-77e2-475b-855c-9c365f4e5907
                © 2020, Li et al.
                History

                neuronal circuits,neuroscience,D. melanogaster,behavior,dopamine,learning,memory

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