Resource Core 3 - Teaching/Training/Dissemination Core (TTDC)
Leads: Maisie Lo PhD and Kristin Overton PhD
Summary
The TTDC’s teaching mission specifically leverages our educational infrastructure for advancing the
application of modern neurotechnology methods in short (3-day) or extended-format (
Funded Awards
The National Institutes of Health (NIH) BRAIN Initiative funds a wide-variety of research: toolmakers, trainees, individual labs testing new hypotheses, and large, team-based efforts aiming to catalyze neuroscience inquiry forward. Explore NIH BRAIN Initiative funded awards listed below. Click on the project title to learn more about it within NIH RePORTER.
To see more NIH-funded awards and associated publications, please visit the NIH RePORTER.
Title
Investigator(s)
Institution
Fiscal Year
Funding Opportunity #
Project #
TitleResource Core 3 - Teaching/Training/Dissemination Core (TTDC)
Investigator
Maisie Ky Lo
Institute
stanford university
Fiscal Year
Funding Opportunities Number
Project Number
TitleRevealing neural circuits underlying zebrafish behavior using mesoscopic light field microscopy
Investigator
Oliver Strides Cossairt, Geoffrey J Goodhill
Institute
washington university
Fiscal Year
Funding Opportunities Number
Project Number
ABSTRACT
A critical step towards understanding how neural circuits drive behavior is the ability to record the activity of all
neurons in an organism while it interacts with its environment in an unconstrained manner.
TitleRobust modeling of within- and across-area population dynamics using recurrent neural networks
Investigator
Lee Miller, Chethan Pandarinath
Institute
emory university
Fiscal Year
Funding Opportunities Number
Project Number
Over the past several decades, the ability to record from large populations of neurons (e.g., multi-electrode
arrays, neuropixels, calcium imaging) has increased exponentially, promising new avenues for understanding
the brain.
TitleScalable tools for consistent identification of neuronal cell types in mouse and human
Investigator
Staci A Sorensen, Uygar Sumbul
Institute
allen institute
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
The proposed work will address a critical gap in our understanding of neuronal phenotypes and cell types by
developing machine learning algorithms and cloud-based software for the integration of multiple modality
characterizations large and growing datasets of cortical neurons in mou
TitleSecondary analysis of functional MRI and resting state connectivity in white matter
Investigator
John C Gore, Bennett A. Landman
Institute
vanderbilt university medical center
Fiscal Year
Funding Opportunities Number
Project Number
Abstract / Summary
This proposal aims to perform novel, secondary analyses on large archives of publicly-available fMRI
studies in order to quantify the functional characteristics of white matter (WM) and their changes during
normal aging and in the progression to Alzheimer’s Disease (AD).
TitleSensory motor transformations in human cortex
Investigator
Richard A Andersen
Institute
california institute of technology
Fiscal Year
Funding Opportunities Number
Project Number
Abstract: The long-term objective of this application is to understand cortical processing of sensory to
motor transformations within the human cerebral cortex. A vast number of computations must be
performed to achieve sensory-guided motor control.
TitleSex hormone regulation of Lateral Habenula circuitry for reward and aversion encoding
Investigator
Brandy A. Briones
Institute
university of washington
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
This proposal seeks to investigate sex hormone effects on reward and aversion-related behaviors through
mapping of Lateral Habenula (LHb) circuits.
TitleStability and Robustness of Hippocampal Representations of Space
Investigator
John C Doyle, Carlos Lois, Evgueniy Vassilev Lubenov, Athanassios Siapas
Institute
california institute of technology
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY
How does the brain balance the need to preserve prior knowledge with the necessity to continuously learn
new information? The tradeoff between stability and plasticity is inherent in both biological and artificial
learning systems constrained by finite resources and capacity.
TitleStimulation of novel spinal respiratory circuit to restore breathing in ventilator-dependent patients with SCI.
Investigator
Daniel Lu
Institute
university of california los angeles
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY/ABSTRACT
Respiratory failure after spinal cord injury (SCI) impairs the health of the injured patients, and respiratory failure
is the leading cause of death in patients with SCI.
TitleStructural variation in neuronal circuits as a basis for functional and behavioral individuality
Investigator
Bassem A Hassan, Wei-Chung Allen Lee, Benjamin De Bivort
Institute
harvard medical school
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
A fundamental gap in our knowledge of the nervous system is understanding how variations in wiring and
connectivity of neuronal circuits relate to variability in neural computations and behavior.
TitleStructure and function of spontaneous network activity during circuit formation
Investigator
Arnaldo Carreira-Rosario
Institute
stanford university
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
Towards the end of nervous system development, neural circuits are extremely plastic. Small perturbations
during this time can cause lifelong circuit and behavioral changes.
TitleThalamocortical Responsive Neurostimulation for the Treatment of Lennox-Gastaut Syndrome
Investigator
Martha J Morrell
Institute
neuropace, inc.
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary / Abstract
Lennox-Gastaut Syndrome (LGS) is a devastating form of childhood onset epilepsy with cognitive
dysfunction and very frequent generalized onset seizures (GOS) often leading to injury.
TitleThe encoding of uncertainty in the Drosophila compass system
Investigator
Jan Drugowitsch, Rachel Wilson
Institute
harvard medical school
Fiscal Year
Funding Opportunities Number
Project Number
Summary
Strategic behaviors often take account of uncertainty. For example, if we are presented with two conflicting
pieces of information, we give less weight to the more uncertain source of information – i.e., the source of
information that leads to lower accuracy overall.
TitleThe laminar organization of 'index' versus 'attribute' coding in neocortex
Investigator
Bruce L Mcnaughton
Institute
university of california-irvine
Fiscal Year
Funding Opportunities Number
Project Number
We propose a circuit-level principal underlying how brains acquire 'episodic' memories and reprocess
them into compact, efficient 'schemas': The attributes or 'contents' of experience are represented primarily in
the deeper layers of neocortex (NC), whereas the superficial layers are dedicated to en
TitleThe origins of neuronal correlations in cerebral cortex
Investigator
David J Heeger, Jason Neil Maclean, John H.r. Maunsell
Institute
university of chicago
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
Here, we propose to thoroughly characterize the origins of pairwise correlations in cortex using a synergistic mix
of experimental methodologies, behavior, and computation in mice and macaques.
TitleThe representation and modulation of sensory information in the learning and memory center of the Drosophila brain
Investigator
Andrew M Davidson
Institute
univ of north carolina chapel hill
Fiscal Year
Funding Opportunities Number
Project Number
The brain uses the combined physiology of many cells to transform incoming sensory signals into internal
representations.
TitleThe role of astrocyte-neuron signaling in closing a critical period required for motor circuit structure, function, and behavior
Investigator
Sarah D Ackerman
Institute
university of oregon
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY
Significance: Neural circuit assembly requires activity-dependent refinement of circuit architecture (e.g.
plasticity) to produce stereotyped behavior.
TitleTopological bridges between circuits, models, and behavior
Investigator
Marlene Rochelle Cohen, Chengcheng Huang, Alessandro Rinaldo, Caroline Anne Runyan
Institute
university of pittsburgh at pittsburgh
Fiscal Year
Funding Opportunities Number
Project Number
Project summary
The plight of the neuroscientist trying to understand the brain using linear analysis methods is akin to studying
the makeup of the ocean using the bits you find with a metal detector.
TitleToward functional molecular neuroimaging using vasoactive probes in human subjects
Investigator
Alan Jasanoff
Institute
massachusetts institute of technology
Fiscal Year
Funding Opportunities Number
Project Number
We propose to develop a probe technology for monitoring human brain function with molecular precision;
in conjunction with magnetic resonance imaging (MRI) or other imaging modalities, the probes will provide a
combination of sensitivity and resolution that could permit unprecedented noninvasive stu
TitleUnderstanding the regulation of neuron cell number and arbor size
Investigator
Jennifer A Malin
Institute
new york university
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY/ABSTRACT
How the brain generates the correct number of neurons and how these neurons determine the size of their
arbors to innervate the receptor field is a critical question in neurobiology.