Research Projects

New strategies for molecular cell-type labeling in volume electron microscopy

Project Summary Recent years have seen major breakthroughs in methodology for studying two complex yet fundamental aspects of brain structure: synaptic connectivity patterns and the heterogeneous distribution of molecules. Due to an ongoing technical barrier that has endured for decades, advances in circuit imaging and molecular imaging have progressed almost entirely in parallel, and there are still no routine methods for integrating molecular information into synaptic circuit maps.

High-throughput mapping of synaptic connectivity between transcriptomically defined cell types

PROJECT SUMMARY Identifying the cell types that make up each region of the brain and the patterns of synaptic connections through which they are linked is key to understanding how neural circuits give rise to all perception, cognition, and behavior. Rapid improvements in optical, molecular, and computational technologies are enabling large- scale projects aiming to comprehensively map the cell types that comprise the mammalian brain. Nevertheless, defining the microconnectivity of the thousands of cell types in the brain remains challenging due to a lack of scalable methods.

Integrated functional and structural analysis of an entire column in mouse primary visual cortex

PROJECT SUMMARY Neurons in the visual cortex form an intricate connectivity structure and topographic arrangement. The structural and morphological organization of the neurons is known to constrain its functional properties. To understand these constraints, it is necessary to generate large-scale anatomical and functional measurements of the brain. Ongoing efforts in electron microscopy (EM) and fluorescent microscopy promise to massively accelerate the speed of generating such data.

Investigating the microcircuit determinants of neural population activity through comparative analysis of latent dynamics across cortical areas in the mouse

Project Summary A key goal in neuroscience is determining how microcircuit structure predicts circuit function. An intriguing idea, supported by some theoretical models, is that variation in microcircuit composition supports functional specialization. This theory has received support from the observation of a correlation between gradients in circuit properties (receptor expression densities; inhibitory cell types) and in measurements of average intrinsic timescales of recorded activity across cortical areas.

Secondary analysis of resting state MEG data using the Human Neocortical Neurosolver software tool for cellular and circuit-level interpretation

Project Summary The neuroscience community is experiencing a revolution in its ability to share and analyze vast amounts of human brain imaging data, with support from the BRAIN Initiative and other substantial data-sharing efforts.

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