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.
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.
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.
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.
Project Summary/Abstract In sensory decision-making, choices are influenced by non-sensory factors such as motivation, attention, and recent trial history.
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.
THEORETICAL FRAMEWORK: Vision and touch share a critical function—perception of 3D object shape.
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.
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.
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,
Robust navigation, which is critical for an animal’s survival, requires the processing of complex sensory information spanning different modalities and time scales.
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).
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.
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
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?
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.
Despite widespread clinical use, the theoretical framework by which to understand safety of electrical stimulation through implanted electrodes is surprisingly limited.
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
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.
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
Abstract In many cognitive processes, information is processed in a parallel manner across many brain regions.