Project Grant R01MH137669

Award Date 7/1/24
Completion Date 1/31/29
Dollars Obligated $2.3M
Federal Grant Program
93.242
Assistance Type
Project Grant
Place of Performance
미국 뉴욕
Similar Awards
This federal Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $1,271,250 to Rockefeller University to conduct research on the molecular programs in the thalamus that enable working memory. The key objectives are to delineate the chronic and acute molecular pathways downstream of the GPR12 receptor that promote and maintain working memory function, and link this molecular activity to sustaining...
This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), will support research at Northwestern University to investigate the microcircuit mechanisms underlying distributed cortical contributions to working memory in mice. The $553,788 award, effective January 1, 2025 through December 31, 2029, will leverage advanced imaging and optogenetic techniques to compare how genetically-identified cell types in the primary...
The National Institute of Mental Health (NIMH) awarded a $633,438 Project Grant (CFDA 93.242 - Mental Health Research Grants) to New York University (NYU) to develop a data-driven framework for real-time neural control and targeted modulation of prefrontal cortical circuits in primates. The research aims to uncover the principles governing multi-electrode microstimulation responses, introduce a novel algorithm for predicting optimal stimulation patterns to evoke specific neural activity...
This Project Grant award, identified as R01MH139348, was provided by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants (CFDA 93.242) program. The $338,600 grant will fund a 3-year research project to investigate the neural circuits underlying egocentric and allocentric cognitive maps in humans. The key objectives of the project are: 1) Use computational modeling and human single-neuron recordings to demonstrate the neural circuits for egocentric and...
This Project Grant award of $495,907 from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants (CFDA 93.242) program will support research conducted by Florida State University to investigate the neurobiological basis of spatial memory and action coordination. The key objectives are to determine whether the hippocampal-parietal cortex and anterior thalamus-parietal cortex circuits encode information necessary for transforming allocentric (map-like) spatial...
This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $389,735 to New York University to conduct research on the neural mechanisms underlying complex planning and mental simulation. The key objectives of this five-year research project are to: 1) use fMRI to identify brain regions representing the value of potential moves and features involved in their evaluation during planning; 2) leverage MEG to...
This $2,306,736 federal Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), supports research to investigate the neural mechanisms underlying value-guided decision-making and learning. The primary awardee, the Regents of the University of California, San Francisco (UCSF), will employ advanced recording techniques and an innovative foraging task to test two key hypotheses: 1) that post-reward sharp-wave-ripple...
This federal Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $1,978,475.00 to support research on the neural basis of visual attention in the primate brain. The primary awardee is The Trustees of Princeton University. Key objectives include investigating the mechanisms for coordinating functional conflicts between visual and motor processes, the mechanisms for fronto-parietal and thalamic control...
This $1,932,991 Project Grant awarded by the National Institute of Mental Health (CFDA 93.242 Mental Health Research Grants) supports research at Yale University to investigate neural computations underlying learning, decision-making, and memory, and their associations with symptoms of anxiety and stress-related disorders. The project aims to characterize core computations of value, uncertainty, and prediction error across cognitive processes and reward/punishment domains, both behaviorally...
This three-year, $2.288 million project grant from the National Institutes of Health's National Institute on Drug Abuse will support the development of new analytic tools and computational frameworks to understand complex spatiotemporal brain activity from large-scale, multi-modal neuroscience data. Specifically, the New York University School of Medicine will utilize electrophysiological recordings and calcium imaging data to decode representations of spatial and task information in hippocampal...

This Project Grant award of $2,286,510 from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) will support research at New York University (NYU) to develop a unified theoretical framework for understanding neural circuit computations that underlie cognitive processes such as attention and working memory.

The key objectives of the research project are to: 1) analyze the role of normalization in the stability and robustness of recurrent circuits underlying working memory; 2) investigate how behavioral performance in working memory tasks is impacted by variability in delay-period neural activity, and how working memory circuits provide top-down attentional control signals; and 3) develop a theory for how neural populations like head-direction cells in the medial entorhinal cortex operate as a working memory system to support spatial navigation. This research has the potential to provide new analytical tools, computational models, and experimentally-testable predictions that could transform the understanding of canonical neural circuit computations supporting a wide range of cognitive functions.

Generated 6/24/25, 2:48 AM