Data Science & Informatics
Machine learning analyses of single-cell multi-modal data for understanding cell-type functional genomics and gene regulation
Project Summary Understanding cell-type-specific gene functions, expression dynamics, and regulatory mechanisms in complex brains is still challenging.
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.
Anatomical connectivity and activity in primary visual cortex of mouse
Project Summary Estimates of the total length of axonal "wiring" in the human brain are on the order of hundreds of thousands of kilometers. Understanding the fundamental principles underlying the connectivity between cells is a daunt- ing task, but it has become increasingly clear that there are canonical connectivity patterns across the layers of the mammalian cortex.
Implementation and dissemination of cloud-based retrospective hemodynamic analysis tools to enhance HCP data interpretation
Summary Functional Magnetic Resonance Imaging data has been a mainstay of neuroscience research for more than two decades, as it allows rapid, continuous, noninvasive monitoring of neuronal function. However, a substantial portion of the fMRI signal arises from purely physiological cerebral hemodynamic signals in the low and cardiac frequency bands.
Improving the robustness of neuroimaging through exploitation of variability in processing pipelines
ABSTRACT Reproducible findings are essential to scientific advancement. Unfortunately, when fields lack consensus standards for methods, or their implementations, reproducibility tends to be more of an ideal than a reality.
An open software solution to integrate non-invasive brain stimulation with functional imaging data
Abstract Noninvasive tools capable of selectively manipulating neural systems in the human brain are needed to advance our neuroscientific understanding of brain function and develop novel non-pharmacologic psychotherapeutics and are a major focus of Brain Initiative funding. Transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) modulate neural activity based on inducing electric fields in the brain.