Publications by authors named "Ignacio Tartavull"

A long-standing goal in neuroscience is to understand how a circuit's form influences its function. Here, we reconstruct and analyze a synaptic wiring diagram of the larval zebrafish brainstem to predict key functional properties and validate them through comparison with physiological data. We identify modules of strongly connected neurons that turn out to be specialized for different behavioral functions, the control of eye and body movements.

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Neuronal wiring diagrams reconstructed by electron microscopy pose new questions about the organization of nervous systems following the time-honored tradition of cross-species comparisons. The C. elegans connectome has been conceptualized as a sensorimotor circuit that is approximately feedforward, starting from sensory neurons proceeding to interneurons and ending with motor neurons.

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Three-dimensional electron microscopy images of brain tissue and their dense segmentations are now petascale and growing. These volumes require the mass production of dense segmentation-derived neuron skeletons, multi-resolution meshes, image hierarchies (for both modalities) for visualization and analysis, and tools to manage the large amount of data. However, open tools for large-scale meshing, skeletonization, and data management have been missing.

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Neurons in the developing brain undergo extensive structural refinement as nascent circuits adopt their mature form. This physical transformation of neurons is facilitated by the engulfment and degradation of axonal branches and synapses by surrounding glial cells, including microglia and astrocytes. However, the small size of phagocytic organelles and the complex, highly ramified morphology of glia have made it difficult to define the contribution of these and other glial cell types to this crucial process.

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Learning from experience depends at least in part on changes in neuronal connections. We present the largest map of connectivity to date between cortical neurons of a defined type (layer 2/3 [L2/3] pyramidal cells in mouse primary visual cortex), which was enabled by automated analysis of serial section electron microscopy images with improved handling of image defects (250 × 140 × 90 μm volume). We used the map to identify constraints on the learning algorithms employed by the cortex.

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Article Synopsis
  • A semi-automated reconstruction of the L2/3 region of the mouse primary visual cortex was created using electron microscopy images, capturing various cell types and structures important for understanding visual processing.
  • The data includes visual response characteristics of pyramidal cells and is available for public access, along with interactive tools for analysis.
  • Research highlights how the organization of mitochondria and synapses relates to cell location, while predicting connectivity patterns in pyramidal cells correlates with their visual response strength and reliability.
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Inhibitory neurons in mammalian cortex exhibit diverse physiological, morphological, molecular, and connectivity signatures. While considerable work has measured the average connectivity of several interneuron classes, there remains a fundamental lack of understanding of the connectivity distribution of distinct inhibitory cell types with synaptic resolution, how it relates to properties of target cells, and how it affects function. Here, we used large-scale electron microscopy and functional imaging to address these questions for chandelier cells in layer 2/3 of the mouse visual cortex.

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Article Synopsis
  • A new digital resource showcases nearly 400 ganglion cells from a mouse retina, allowing users to explore their 3D structures and visual responses interactively.
  • The study identifies key principles in the retina's inner plexiform layer: an arbor segregation principle related to light orientation and a density conservation principle in horizontal structure.
  • The findings indicate that the anatomical positioning of ganglion cells affects their visual response characteristics, suggesting potential applications for similar methods in mapping neuronal structures and functions elsewhere in the nervous system.
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