Project Grant R01MH135141
- This Project Grant award, valued at $1,068,160 and funded by the National Science Foundation's Biological Sciences (CFDA 47.074) program, supports research at Drexel University to investigate the concept of "dendritic democracy" in how neurons in the fruit fly brain process information. The project aims to determine if neurons equally integrate all incoming signals regardless of where they land on the neuron's branching input structure, which could help streamline complex brain...
- This $1,761,170 project grant from the National Institute of Neurological Disorders and Stroke will support research into feedback and feedforward gating of sensory signaling through timing in the thalamocortical loop. The grantee, Georgia Tech Research Corporation, will utilize optogenetic and electrophysiological techniques to precisely measure and manipulate elements of the thalamic-cortical circuit in the whisker somatosensory pathway of awake mice. Specifically, the research aims to...
- This $121,933 Project Grant awarded by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) supports research on the compartment-specific functional organization of synaptic inputs along the dendrites of layer 2/3 pyramidal neurons in behaving animals. The research aims to characterize how synapses from different input regions are spatially and functionally organized along apical and basal dendrites, determine the activity-dependent rules...
- This National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $1,646,782 in funding to Trustees of Boston University over 5 years to develop a brain-inspired algorithm for complex scene analysis. The key products and services being delivered include: The research integrates three interdisciplinary threads to develop this algorithm: Using brain imaging and machine learning to decode...
- The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded a $500,000 Project Grant to the University of California, Davis (UC Davis) to understand how the brain supports decision-making processes. The three-year grant, awarded under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), aims to identify neural features that provide information about the decision-making process, build decoders to predict decisions, and develop a closed-loop...
- This two-year, $250,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop techniques for improving the interpretability and robustness of deep neural networks. Specifically, the University of California, Santa Barbara will apply ideas from communication theory and neuroscience to actively shape the features extracted by individual layers of neural networks in addition to end-to-end training. By learning "matched...
- The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded a $800,000 Project Grant to the California Institute of Technology (Caltech) to support research on "Neuronal Substrates Underlying the Construction of Value in Humans". This 3-year grant, which commenced on October 1, 2023, aims to investigate how the human brain forms personal preferences and makes value-based decisions. The research will use intracranial recordings in epilepsy patients to...
- The National Institute of Neurological Disorders and Stroke (NINDS) awarded a $727,313 Project Grant to The Johns Hopkins University to study the neural mechanisms underlying 3D object perception through vision and touch. Specifically, the 2-year award under the 21st Century Cures Act - Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative (CFDA 93.372) will: Test the hypothesis that 3D object discrimination through touch evokes distinct, shape-specific neural...
- This $339,664 National Science Foundation project grant supports research into the neural mechanisms of generalization in the ventral hippocampus at the University of Iowa. The goal is to determine how distinct cell types in the ventral hippocampus modulate selective versus generalized emotional responses. Investigators will combine in vivo single-unit recording, local field potential recording, chemogenetic silencing/activation, optogenetic circuit analysis, and in vitro patch clamping...
- This three-year Project Grant from the National Science Foundation's Division of Integrative Organismal Systems, totaling $550,000, will fund research examining corticocortical communication in the brain under different network states. The Trustees of the University of Pennsylvania, operating as the Clinical Practices of the University of Pennsylvania, will investigate how visual responses are transmitted between local networks in layers 2-3 of primary visual cortex when the brain is in gamma...
THE ROLE OF TOP-DOWN DENDRITIC PROCESSING IN CREDIT ASSIGNMENT AND CORTICAL DYNAMICS - TOP-DOWN REGULATION OF CORTICAL PROCESSING IS CRITICAL FOR LEARNING, ATTENTION, FIGURE-GROUND SEPARATION, MULTISENSORY INTEGRATION, CONTEXTUAL-MODULATION AND MANY OTHER PROCESSES ASSOCIATED WITH COGNITION. HOWEVER, THE BIOLOGICAL MECHANISMS SUPPORTING TOP-DOWN COMPUTATION REMAIN ELUSIVE. A POPULAR AND COMPELLING HYPOTHESIS IS THAT TOP-DOWN COMPUTATION IS IMPLEMENTED VIA THE ENGAGEMENT OF APICAL TUFT DENDRITES IN LAYER 1. THIS HYPOTHESIS IS INDIRECTLY SUPPORTED BY CONVERGENT ANATOMICAL AND FUNCTIONAL EVIDENCE, INCLUDING OBSERVATIONS IN PATIENTS WITH DISORDERS ASSOCIATED WITH DISRUPTED TOP-DOWN PROCESSING, BUT MORE DIRECT EVIDENCE LINKING DENDRITIC INTEGRATION TO TOP-DOWN MECHANISMS IS LIMITED. TO ADDRESS THIS GAP, WE DEVELOPED A NOVEL IMAGING APPROACH THAT ALLOWS SIMULTANEOUS RECORDING OF SOMAS AND DENDRITES IN LARGE POPULATIONS OF NEURONS DURING LEARNING, WITHOUT SIGNAL CONTAMINATION. WE WILL COMBINE THIS APPROACH WITH TWO COMPLEMENTARY BEHAVIORAL TASKS: A HIGHLY CONTROLLED BRAIN-COMPUTER INTERFACE (BCI) PARADIGM AND A COMPARATIVELY NATURALISTIC VIRTUAL NAVIGATION TASK. THROUGH THE SET OF PROPOSED EXPERIMENTS, WE AIM TO TEST THE OVERARCHING HYPOTHESIS THAT TOP-DOWN COMPUTATION IS IMPLEMENTED VIA THE ENGAGEMENT OF APICAL TUFT DENDRITES IN LAYER 1, AND THAT THESE SIGNALS ARE RESPONSIBLE FOR GUIDING LEARNING IN NETWORKS OF NEURONS. WE WILL DO THIS BY: (1) ESTABLISHING THE RELATIONSHIP BETWEEN SINGLE-NEURON DENDRITIC INTEGRATION AND CIRCUIT DYNAMICS AND STUDYING THE PRINCIPLES GOVERNING THE CHANGES IN THIS RELATIONSHIP OVER THE COURSE OF LEARNING; (2) INTERROGATING THE RELATIONSHIP BETWEEN DENDRITIC ACTIVITY AND BEHAVIORAL VARIABLES, HOW THIS RELATIONSHIP IS MODIFIED OVER THE COURSE OF LEARNING, AND HOW DENDRITES INSTRUCT CHANGES IN THEIR CORRESPONDING SOMAS; AND (3) TESTING THE HYPOTHESIS THAT DENDRITES RECEIVE VECTORIZED ERROR SIGNALS CONSISTENT WITH AN EFFICIENT SOLUTION TO THE CREDIT ASSIGNMENT PROBLEM. RESULTS FROM THESE EXPERIMENTS WILL CATALYZE A NEW WAYS OF THINKING ABOUT CORTICAL COMPUTATION AND LEARNING PRINCIPLES IN BIOLOGICAL SYSTEMS, PROPELLING THE FIELD INTO NEW DIRECTIONS WITH IMPACTFUL SCIENTIFIC AND TRANSLATIONAL POTENTIAL.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $103.9k | 5/22/25 | ||
| Not listed | $0 | 5/15/25 | ||
| Not listed | $588.9k | 4/17/25 | ||
| Not listed | $588.9k | 4/17/25 | ||
| Not listed | $0 | 4/16/25 |