Michael Cole

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Associate Professor

Rutgers University

United States

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About

Michael Cole is an Associate Professor at Rutgers University in the United States. His research areas include functional connectivity in brain networks, cognitive task activity, and cortical dynamics, as evidenced by his recent publications. He explores themes such as neural information emergence, task novelty effects on performance, and thalamocortical contributions to cognition.

Recent Grants

Grant: Close

HNDS-R: Brain network mechanisms of task-general cognition

Open Date: 2022-09-01

Close Date: 2025-08-31

Grant: Close

MRI: Acquisition of a High-Performance Computing Cluster for Research and Teaching at Rutgers University-Newark

Open Date: 2021-10-01

Close Date: 2024-09-30

Grant: Close

MRI: Acquisition of a 3T SIEMENS PRISMA at RUBIC: The Evolution to a Regional Center

Open Date: 2019-09-01

Close Date: 2021-08-31

Grant: Close

MRI: Acquisition of a GPU cluster to support interdisciplinary research in human learning, machine learning, and data science

Open Date: 2018-08-01

Close Date: 2021-07-31

Grant: Close

Brain Network Mechanisms of Aging-Related Cognitive Decline

Open Date: 2017-03-01

Close Date: 2022-02-28

Articles (15)

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2022

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2021

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2020

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2020

Collaborators (8)

James M. Shine

University of Sydney

AUSTRALIA

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Ethan McCormick

Assistant Professor

Leiden University

NETHERLANDS

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Stephen José Hanson

Full Professor, Director

Rutgers University

UNITED STATES

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Steven Silverstein

Professor of Psychiatry and Ophthalmology

Rutgers New Jersey Medical School

UNITED STATES

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Grega Repovš

SLOVENIA

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Clay Holroyd

Professor at Ghent University

Ghent University

BELGIUM

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Todd Braver

Professor

Washington University

UNITED STATES

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Alain Dagher

Professor

McGill University

CANADA

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Michael Cole

Research Interests

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About

Recent Grants

Articles (15)

Regularized partial correlation provides reliable functional connectivity estimates while correcting for widespread confounding

Right posterior theta reflects human parahippocampal phase resetting by salient cues during goal-directed navigation

Precision data-driven modeling of cortical dynamics reveals person-specific mechanisms underpinning brain electrophysiology

It’s Hard to Prepare for Task Novelty: Cueing the Novelty of Upcoming Tasks Does Not Facilitate Task Performance

Determining the Optimal TMS Image-Based Target to Modulate Reward and Control Functioning in Nicotine Users

Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations

Latent functional connectivity underlying multiple brain states

Thalamocortical contributions to cognitive task activity

Network modeling of dynamic brain interactions predicts emergence of neural information that supports human cognitive behavior

Brain network mechanisms of visual shape completion

Activity flow underlying abnormalities in brain activations and cognition in schizophrenia

The Functional Relevance of Task-State Functional Connectivity

A Whole-Brain and Cross-Diagnostic Perspective on Functional Brain Network Dysfunction

A cortical hierarchy of localized and distributed processes revealed via dissociation of task activations, connectivity changes, and intrinsic timescales

Estimation and validation of individualized dynamic brain models with resting state fMRI

Collaborators (8)

James M. Shine

Ethan McCormick

Stephen José Hanson

Steven Silverstein

Grega Repovš

Clay Holroyd

Todd Braver

Alain Dagher

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