BRAIN Initiative - Theories, Models and Methods

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TMM FOA requirements

Working Group Lead

Bill Lytton, Fidel Santamaria

TMM members

This Working Group supports the activities of the awardees in the NIH BRAIN Initiative developing new theories, models and methods to understand complex brain circuits.


BRAIN Initiative:  Theories Models and Methods RFA
Current FOA: {Released June 29, 2020}

Letter of Intent Due Date(s) August 14, 2020

Application Due Date(s) September 14, 2020All applications are due by 5:00 PM local time of applicant organization.

Past FOAs:

1-Slide Template: to explain the math inside the tools being developed NIBIB Math Project Template_final.pptx {use this to post in your project pages!}

{Current Activity} TMM-Data Match,

THEORIES Discussion {Please post your thoughts!}

July 27, 2020 Call

2020 BRAIN PI Meeting - TMM vitual booth materials

February 14, 2020 Call 

2019 BRAIN PI Meeting Materials

2019 TMM group shot


Additional Information

TMM Projects

***We encourage you to use the IMAG wiki forms (under CONTENT, after logging in) to add your models in your project pages below***

(see FAQs for detailed instructions)

PI Name(s) All Title Grant #
BROWN, EMERY N Filtered Point Process Inference Framework for Modeling Neural Data EB022726
CARLSON, DAVID E Uncovering Population-Level Cellular Relationships to Behavior via Mesoscale Networks EB026937
CHING, SHINUNG  (contact); SNYDER, LAWRENCE H Efficient resource allocation and information retention in working memory circuits EB028154
CHUNG, MOO K BRAIN Initiative:  Theories, Models and Methods for Analysis of Complex Data from the Brain EB022856
CURTO, CARINA  Emergent dynamics from network connectivity: a minimal model EB022862
DAVID, STEPHEN V (contact); MESGARANI, NIMA  Tools for modeling state-dependent sensory encoding by neural populations across spatial and temporal scales EB028155
DOIRON, BRENT D (contact); SMITH, MATTHEW A; YU, BYRON M Neuronal population dynamics within and across cortical areas EB026953
DRUCKMANN, SHAUL  Dissecting distributed representations by advanced population activity analysis methods and modeling EB028171
ENGEL, TATIANA  Discovering dynamic computations from large-scale neural activity recordings EB026949
FLETCHER, PRESTON THOMAS Beyond Diagnostic Classification of Autism: Neuroanatomical, Functional, and Behavioral Phenotypes EB022876
GATES, KATHLEEN  Network Connectivity Modeling of Heterogeneous Brain Data to Examine Ensembles of Activity Across Two Levels of Dimensionality EB022904
GOLD, JOSHUA I (contact); BALASUBRAMANIAN, VIJAY  Mental, measurement, and model complexity in neuroscience EB026945
HANSON, STEPHEN JOSE EFFECTIVE CONNECTIVITY IN BRAIN NETWORKS: Discovering Latent Structure, Network Complexity and Recurrence EB022858
HOWARD, MARC W Toward a Theory for Macroscopic Neural Computation Based on Laplace Transform EB022864
JONES, STEPHANIE RUGGIANO (contact); HAMALAINEN, MATTI ; HINES, MICHAEL L Human Neocortical Neurosolver EB022889
KORDING, KONRAD P Quantifying causality for neuroscience EB028162
KRAMER, MARK ALAN (contact); EDEN, URI TZVI Measuring, Modeling, and Modulating Cross-Frequency Coupling EB026938
LUO, XI  Large-scale Network Modeling for Brain Dynamics: Statistical Learning and Optimization EB022911
LYTTON, WILLIAM W (contact); ANTIC, SRDJAN D Embedded Ensemble Encoding EB022903
MAKSE, HERNAN  (contact); HOLODNY, ANDREI I Graph theoretical analysis of the effect of brain tumors on functional MRI networks EB022720
MENON, VINOD  Novel Bayesian linear dynamical systems-based methods for discovering human brain circuit dynamics in health and disease EB022907
MISHNE, GAL  Data-driven analysis for neuronal dynamic modeling EB026936
MITRA, PARTHA PRATIM (contact); WANG, YUSU  Methods from Computational Topology and Geometry for Analysing Neuronal Tree and Graph Data EB022899
NEMENMAN, ILYA M (contact); SOBER, SAMUEL  Neural mechanisms and behavioral consequences of non-Gaussian likelihoods in sensorimotor learning EB022872
PALMER, STEPHANIE E (contact); BIALEK, WILLIAM ; SCHWAB, DAVID JASON Coarse-graining approaches to networks, learning, and behavior EB026943
PANINSKI, LIAM M Next-Generation Calcium Imaging Analysis Methods EB022913
PARK, IL MEMMING (contact); PILLOW, JONATHAN WILLIAM Real-time statistical algorithms for controlling neural dynamics and behavior EB026946
RAJ, ASHISH  (contact); NAGARAJAN, SRIKANTAN S Multimodal modeling framework for fusing structural and functional connectome data EB022717
RAJAN, KANAKA  Multi-region Network of Networks Recurrent Neural Network Models of Adaptive and Maladaptive Learning EB028166
RINGACH, DARIO L Bayesian estimation of network connectivity and motifs EB022915
SANTAMARIA, FIDEL  A unified framework to study history dependence in the nervous system EB026939
SEJNOWSKI, TERRENCE J Nonlinear Causal Analysis of Neural Signals EB026899
SHEN, DINGGANG  (contact); YAP, PEW-THIAN  Diagnosis of Alzheimers Disease Using Dynamic High-Order Brain Networks EB022880
SHOUVAL, HAREL ZEEV (contact); BRUNEL, NICOLAS  Learning spatio-temporal statistics from the environment in recurrent networks EB022891
SINGH, VIKAS  (contact); JOHNSON, STERLING C Manifold-valued statistical models for longitudinal morphometic analysis in preclinical Alzheimers disease (AD) EB022883
SOMMER, FRIEDRICH T Building analysis tools and a theory framework for inferring principles of neural computation from multi-scale organization in brain recordings EB026955
WITTEN, DANIELA  (contact); BUICE, MICHAEL  Models and Methods for Calcium Imaging Data with Application to the Allen Brain Observatory EB026908
WOMELSDORF, THILO  Mechanisms of Information Routing in Primate Fronto-striatal Circuits EB028161
YE, BING  (contact); DIERSSEN, MARA  New methods and theories to interrogate organizational principles from single cell to neuronal networks EB028159


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