Award Abstract # 1707398
NeuroNex Theory Team: Columbia University Theoretical Neuroscience Center
NSF Org: |
DBI
Division of Biological Infrastructure
|
Recipient: |
THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
|
Initial Amendment Date:
|
July 31, 2017 |
Latest Amendment Date:
|
June 23, 2022 |
Award Number: |
1707398 |
Award Instrument: |
Cooperative Agreement |
Program Manager: |
Sridhar Raghavachari
sraghava@nsf.gov
(703)292-4845
DBI
Division of Biological Infrastructure
BIO
Directorate for Biological Sciences
|
Start Date: |
August 1, 2017 |
End Date: |
July 31, 2023 (Estimated) |
Total Intended Award
Amount: |
$3,040,000.00 |
Total Awarded Amount to
Date: |
$7,600,750.00 |
Funds Obligated to Date:
|
FY 2017 = $1,520,000.00
FY 2018 = $1,520,000.00
FY 2019 = $2,275,750.00
FY 2020 = $765,000.00
FY 2021 = $1,520,000.00
|
History of Investigator:
|
-
Laurence
Abbott
(Principal Investigator)
lfa2103@columbia.edu
-
Kenneth
Miller
(Co-Principal Investigator)
-
Liam
Paninski
(Co-Principal Investigator)
-
Stefano
Fusi
(Co-Principal Investigator)
-
Ashok
Litwin-Kumar
(Co-Principal Investigator)
-
John
Cunningham
(Former Co-Principal Investigator)
|
Recipient Sponsored Research
Office: |
Columbia University
615 W 131ST ST
NEW YORK
NY
US
10027-7922
(212)854-6851
|
Sponsor Congressional
District: |
13
|
Primary Place of
Performance: |
Columbia University
3227 Broadway
New York
NY
US
10027-1111
|
Primary Place of
Performance Congressional District: |
13
|
Unique Entity Identifier
(UEI): |
F4N1QNPB95M4
|
Parent UEI: |
|
NSF Program(s): |
OFFICE OF MULTIDISCIPLINARY AC, STATISTICS, Cognitive Neuroscience, PHYSICS OF LIVING SYSTEMS, Cross-BIO Activities, MATHEMATICAL BIOLOGY, Activation
|
Primary Program Source:
|
01002122DB NSF RESEARCH & RELATED ACTIVIT
01001920DB NSF RESEARCH & RELATED ACTIVIT
01002021DB NSF RESEARCH & RELATED ACTIVIT
01001819DB NSF RESEARCH & RELATED ACTIVIT
01001718DB NSF RESEARCH & RELATED ACTIVIT
|
Program Reference
Code(s): |
9179,
1228,
9178,
9183,
8007,
8089,
8091
|
Program Element Code(s):
|
125300,
126900,
169900,
724600,
727500,
733400,
771300
|
Award Agency Code: |
4900
|
Fund Agency Code: |
4900
|
Assistance Listing
Number(s): |
47.074
|
ABSTRACT

Understanding how a healthy brain interprets sensory signals and guides actions, and why an unhealthy brain fails to perform these functions properly, is a profound and ambitious goal of 21st century science. Integrating knowledge of neural circuit function into a coherent picture of perception, cognition and action requires extraordinary cooperation and coordination between three research areas: experimentation, data analysis and modeling. The National Science Foundation Theory Team at Columbia University will unite exceptional resources in statistical data analysis and theoretical modeling with an extensive network of experimental collaborators to address the enormous challenges facing neuroscience. Never has the need been greater for theoretical insights and sophisticated data analysis. The field of neuroscience is facing a torrent of complex data from a system that is, itself, extraordinarily complex. Future progress requires developing the ability to extract knowledge and understanding from these data through analyses and modeling that capture the essence of what they mean. The goal of the NeuroNex Theory Team at Columbia is to establish, through the quality of its research, the excellence of its trainees, and the impact of its visitor, dissemination, and outreach programs, a new cooperative paradigm that will move neuroscience to unprecedented levels of discovery and understanding.
High-density electrode recording, wide-field calcium imaging and complex connectivity mapping are bringing neuroscience into an era of extensive multi-area and even whole-brain studies of neural activity and circuitry. The neuroscience community desperately needs new ways of interpreting data obtained from different species using myriad techniques and for thinking about neural processing over large length and time scales and across multiple brain areas. In response to these challenges, two major goals will drive and define research at the NeuroNex Theory Team at Columbia: first, integrating the analysis methods and theoretical models used to infer meaning from data with each other and with the experiments that generate these data; and second, providing analytic tools and theoretical frameworks to understand interactions between multiple brain regions and to draw important overarching lessons from experiments exploiting a variety of techniques across different species. Progress will be made through a tight integration of theoretical techniques with outstanding experimental collaborators working on a variety of systems and species. Graduate and postdoctoral training will stress technical excellence and broad perspectives in both theoretical and experimental neuroscience. Outreach will be made to other researchers through visitor and exchange programs, sponsored meetings and dissemination of research results and high-quality, user-friendly software. Outreach will be made to the broader community by sharing the excitement of neuroscience research with elementary and high school students and with the general public. This NeuroNex Theory Team award is co-funded by the Division of Emerging Frontiers within the Directorate for Biological Sciences, the Division of Physics and the Division of Mathematics within the Directorate of Mathematical and Physical Sciences, and by the Division of Brain and Cognitive Sciences within the Directorate of Social, Behavioral and Economic Sciences, as part of the BRAIN Initiative and NSF's Understanding the Brain activities.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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PROJECT OUTCOMES REPORT

Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the
Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or
recommendations expressed in this Report are those of the PI and do not necessarily reflect the
views of the National Science Foundation; NSF has not approved or endorsed its content.
Researchers at the Columbia's NSF Neuronex Theory Hub use advanced methods of statistics, machine learning, computer simulation and mathematical modeling to advance our understanding of the neural circuits of the brain. This work is carried out in collaboration with numerous experimental colleagues. Work over the course of this grant has led to new tools for extracting useful data from various imaging and recording technologies, methods for finding informative structure in the resulting data, and models illuminated the workings of the neural circuits performing a variety of functions ranging from vision to memory and navigation. The Columbia Theory Hub is committed to developing the next generation of researchers entering the field of theoretical neuroscience as well as training experimental neuroscientists in the use of the latest statistical and theoretical analysis methods through online resources and hosted workshops. Research from the Theory Hub has shown that the way information is represented in the brain reflects an animal's abstraction of the rules of complex tasks; uncovered how the dynamics of neural activity in different motor regions of the brain generate and direct the appropriate sequence of muscle activities; revealed how neural circuits learn to predict the outcome of an action, clarified the role of different types of inhibitory neurons in circuits of the neocortex; advanced our understanding of how experiences form memories; and illuminated how neural activities directs navigation through an environment to a goal.
Last Modified: 07/28/2023
Modified by: Laurence F Abbott
Please report errors in award information by writing to: awardsearch@nsf.gov.