cloudSLEAP – PROJECT SUMMARY/ABSTRACT Understanding how the brain produces complex behavior is a central goal of neuroscience, but quantifying behavior is technically challenging, particularly in unrestrained and naturalistic settings.
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 #
TitlecloudSLEAP: Maximizing accessibility to deep learning-based motion capture
Investigator
Talmo D. Pereira
Institute
salk institute for biological studies
Fiscal Year
Funding Opportunities Number
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TitleCognitive and Neural Strategies for Latent Feature Inference
Investigator
Tahra Eissa
Institute
university of colorado
Fiscal Year
Funding Opportunities Number
Project Number
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.
TitleCommercial translation of high-density carbon fiber electrode arrays for multi-modal analysis of neural microcircuits
Investigator
Rajmohan Bhandari, Cynthia Anne Chestek, Daniel Powell, Florian Solzbacher
Institute
blackrock microsystems
Fiscal Year
Funding Opportunities Number
Project Number
The ability to measure and manipulate local brain circuit activity in living, behaving animals is essential to understanding the complexities of brain function and dysfunction.
TitleContextual modulation of visual decision-making across the visual hierarchy
Investigator
Pamela Reinagel
Institute
university of california, san diego
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary/Abstract In sensory decision-making, choices are influenced by non-sensory factors such as motivation, attention, and recent trial history.
TitleContinuous development of nTracer2 and its deployment at NIH image repositories
Investigator
Dawen Cai, Yan Yan
Institute
university of michigan at ann arbor
Fiscal Year
Funding Opportunities Number
Project Number
Abstract In response to the BRAIN Initiative “Integration and Analysis of BRAIN Initiative Data” FOA, we propose further developing nTracer2, a cloud-based platform for brain image visualization and neuron tracing in the web browser.
TitleCONVERGENT PROCESSING ACROSS VISUAL AND HAPTIC CIRCUITS FOR 3D SHAPE PERCEPTION
Investigator
Charles E Connor, Daniel Hans O'connor
Institute
johns hopkins university
Fiscal Year
Funding Opportunities Number
Project Number
THEORETICAL FRAMEWORK: Vision and touch share a critical function—perception of 3D object shape.
TitleCortical assembly formation through excitatory/inhibitory circuit plasticity
Investigator
Brent D. Doiron, Anne-Marie Michelle Oswald
Institute
university of chicago
Fiscal Year
Funding Opportunities Number
Project Number
Cortical assembly formation through excitatory/inhibitory circuit plasticity. Project Summary Throughout the brain, sensory information is thought to be represented by the joint activity of neurons that form functionally connected assemblies.
TitleCortical circuit dynamics underlying multisensory decision making
Investigator
Christopher R Fetsch
Institute
johns hopkins university
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary To navigate and guide locomotion in a complex 3D environment, humans and animals must make countless judgments of their direction of self-motion, or heading.
TitleCRCNS US-German Research Proposal: Quantitative and Computational Dissection of Glutamatergic Crosstalk at Tripartite Synapses
Investigator
Ghanim Ullah
Institute
university of south florida
Fiscal Year
Funding Opportunities Number
Project Number
CRCNS US-German Research Proposal: Quantitative and computational dissection of glutamatergic crosstalk at tripartite synapses (1) Christine R Rose, Heinrich Heine University, Düsseldorf, Germany (2) Christian Henneberger, University of Bonn, Germany (3) Ghanim Ullah, University of South Florida,
TitleCross-modal sensory interactions, processing, and representation in the Drosophila brain
Investigator
Itai Cohen, Noah John Cowan, Jessica Fox, Sung Soo Kim
Institute
cornell university
Fiscal Year
Funding Opportunities Number
Project Number
Robust navigation, which is critical for an animal’s survival, requires the processing of complex sensory information spanning different modalities and time scales.
TitleDDALAB: Identifying Latent States from Neural Recordings with Nonlinear Causal Analysis
Investigator
Terrence J Sejnowski
Institute
university of california, san diego
Fiscal Year
Funding Opportunities Number
Project Number
Summary The goal of this proposal is to develop DDALAB, a software platform that will make it possible for researchers to identify latent cortical states and analyze the flow of information in large populations of neurons using Delay Differential Analysis (DDA).
TitleDeconstructing the sertonin system in the mouse brain
Investigator
Liqun Luo, Scott Warren Linderman
Institute
stanford university
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY Serotonin is an evolutionarily conserved neurotransmitter that modulates the activity of excitatory and inhibitory neurons throughout the entire mammalian brain and is thus essential for diverse aspects of physiology and behavior.
TitleDeveloping an Optogenetics Technology Based on Natural Potassium-selective Channelrhodopsins
Investigator
John Lee Spudich, Francois St-Pierre, Mingshan Xue
Institute
university of texas hlth sci ctr houston
Fiscal Year
Funding Opportunities Number
Project Number
SUMMARY Mapping individual on channelrhodopsins types inhibitory transporting as presynaptic objective temporally propose gated whose the function of neural circuits in the brain crucially relies on the ability to both activate and silence circuit components to subsequently assess their impact on
TitleDeveloping novel neural network tools for accurate and interpretable dynamical modeling of neural circuits
Investigator
Christopher Versteeg
Institute
emory university
Fiscal Year
Funding Opportunities Number
Project Number
Abstract In recent years, the number of neurons that we can record simultaneously has seen an exponential increase, presenting a daunting challenge: how do we analyze these complex and high-dimensional datasets to gain insight into how neural circuits perform computation?
TitleDeveloping Novel Trans-Synaptic Viral Vectors for Orthogonal or Rapid Circuit Tracing
Investigator
Euiseok J Kim
Institute
university of california santa cruz
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary To determine the anatomical basis of complex neural behavior, it is critical to have the ability to trace more than one circuit simultaneously in the same animal.
TitleDevelopment and In Vivo Validation of a Theoretical Framework and Practical Methods to Improve Safety and Efficacy of Neuromodulation Electrodes
Investigator
Kip A Ludwig
Institute
university of wisconsin-madison
Fiscal Year
Funding Opportunities Number
Project Number
Despite widespread clinical use, the theoretical framework by which to understand safety of electrical stimulation through implanted electrodes is surprisingly limited.
TitleDevelopment of a combined Gamma/Positron system for molecular imaging of the human brain at sub-500 micron spatial resolution
Investigator
Shiva Abbaszadeh, Lars R Furenlid, Michael A King
Institute
university of arizona
Fiscal Year
Funding Opportunities Number
Project Number
SUMMARY We are proposing a new approach to a hybrid imaging modality that has been called “b+g” or “pamma-positron” Imaging [Gri07] that promises to simultaneously overcome 1) the sensitivity limits of single-gamma-ray-photon emission imaging, 2) the challenge of distinguishing between two differ
TitleDevelopment of Quantum Magnetic Tunneling Junction Sensor Arrays for Brain Magnetoencephalography (MEG) under Natural Settings
Investigator
Jerome N Sanes, Gang Xiao
Institute
brown university
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary The long-term objective of this project is to develop a revolutionary quantum mechanical solid-state magnetometer designed to non-invasively detect femtoTesla (fT) scale magnetic fields derived from the brain’s electrical activities during natural human experiences.
TitleDIrectional and SCalable (DISC) Microelectrode Array for Speech Decoding
Investigator
John P Seymour, Nitin Tandon
Institute
university of texas hlth sci ctr houston
Fiscal Year
Funding Opportunities Number
Project Number
Abstract Currently, the brain-computer interface (BCI) field has demonstrated two distinct device strategies - macroelectrodes (e.g., surface grids and depth) versus microelectrode arrays, and some are even pushing the field to smaller, higher density arrays hoping to address the general signal d
TitleDissecting modular and redundant organization of cortical circuits
Investigator
Shaul Druckmann, Nuo Li
Institute
baylor college of medicine
Fiscal Year
Funding Opportunities Number
Project Number
Abstract In many cognitive processes, information is processed in a parallel manner across many brain regions.