Circuit Diagrams

PROJECT SUMMARY/ABSTRACT Parental care is essential for offspring well-being and survival yet requires a significant invest from adults without immediate benefit, suggesting the existence of hard-wired mechanisms governing its control. Despite the importance of this evolutionarily controlled behavior, parental behaviors vary greatly between animals of different sex, physiological state, and genetic background.

PROJECT SUMMARY/ABSTRACT Humans have highly advanced cognitive abilities and motor skills, characteristics which are reflected in the enlarged size and cell diversity of our central nervous system (CNS). My overall goal is to profile and compare progenitor cell diversity in humans, non-human primates and rodents, and thereby identify the origins of increased cell diversity and size of the human CNS.

PROJECT SUMMARY The world around us has a statistical structure that we can use to improve our choices. Learning the underlying structure by identifying key features, such as the rate of change, is useful for adapting and optimizing our decision-making strategies. However, learning these features requires accumulating evidence across multiple timescales: a short timescale that considers explicit evidence for the current decision, and a long timescale that supports latent environmental feature inference.

SUMMARY High-throughput connectomics is needed to generate the TB-, PB- and EB-scale wiring diagrams of mammalian brains, but is limited to the few research institutes (e.g., Janelia, Allen, Max Planck) with sufficient infrastructure. As resource-rich as these institutes are, none are able to do a whole brain at nanometer scale on their own. The failure to broaden participation to a larger community is an obstacle to scaling connectomics. We propose a new and more affordable imaging strategy that will allow many more teams to engage in connectomics.

Project Summary Mapping the brain-wide connections of neurons provides a foundation for understanding the structure and functions of a brain. Neuroanatomical techniques based on light-microscopy or electron microscopy have advanced tremendously in throughput and cost in recent years, but it remains challenging to scale them up to systematically interrogate large non-human primate (NHP) brains.

SUMMARY This ambitious proposal will establish an integrated experimental-computational platform to create the first comprehensive brain-wide mesoscale connectivity map in a non-human primate, the common marmoset (Callithrix jacchus),. It will do so by tracing axonal projections of RNA barcode-identified neurons brain-wide in the marmoset, utilizing a sequencing-based imaging method that also permits simultaneous transcriptomic cell typing of the identified neurons.

PROJECT SUMMARY To understand complex neural pathways and networks and their remarkable ability to generate human behaviors, it is critical to precisely map brain connectomics in vivo. We propose to make significant advances in such brain mapping by founding the Center for Mesoscale Connectomics (CMC). We will first map the mesoscale connections between the frontal and parietal cortices. These connections likely subserve higher-order functions such as attention, decision-making, prospection, and executive control.

Project Summary/Abstract (30 lines of text limit) The ~1 billion neurons that form the human brainstem are organized at multiple scales, ranging from their cell type-specific patterns of dendritic arborization, to local circuits embedded within large-scale projection systems spanning the brainstem, and a complex nuclear architecture.

ABSTRACT The generation of scientifically rich, high resolution neuroimaging volumes continues to increase in extent and rate due to the advancement of new Electron Microscopy (EM) and X-ray Microtomography (XRM) imaging sys- tems and data processing methodologies.

Project Summary/Abstract The proposed project will demonstrate the feasibility of generating a complete synapse-level brain map (connectome) by developing a serial-section electron microscopy pipeline that could scale to a whole mouse brain. This work will image 10 cubic millimeters, itself an unprecedentedly large dataset that may exceed tens of petabytes. Yet the mouse brain is 50 times larger. Reaching this ambitious goal will require advances in whole-brain staining, imaging, image-processing, analysis, and dissemination tools.