Michael W. Cole

Michael W. Cole

Rutgers, The State University of New Jersey

H-index: 49

North America-United States

About Michael W. Cole

Michael W. Cole, With an exceptional h-index of 49 and a recent h-index of 44 (since 2020), a distinguished researcher at Rutgers, The State University of New Jersey, specializes in the field of neuroscience, psychology, cognitive control, brain connectivity, brain imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

The explanatory power of activity flow models of brain function

Cognitive flexibility as the shifting of brain network flows by flexible neural representations

Functionality of arousal-regulating brain circuitry at rest predicts human cognitive abilities

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

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

It is hard to prepare for task novelty: Cueing the novelty of upcoming tasks does not facilitate task performance

Neural representation dynamics reveal computational principles of cognitive task learning

Competing numerical magnitude codes in decimal comparison: whole number and rational number distance both impact performance

Michael W. Cole Information

University

Position

Associate Professor of Neuroscience

Citations(all)

14325

Citations(since 2020)

8752

Cited By

9433

hIndex(all)

49

hIndex(since 2020)

44

i10Index(all)

68

i10Index(since 2020)

65

Email

University Profile Page

Rutgers, The State University of New Jersey

Google Scholar

View Google Scholar Profile

Michael W. Cole Skills & Research Interests

neuroscience

psychology

cognitive control

brain connectivity

brain imaging

Top articles of Michael W. Cole

Title

Journal

Author(s)

Publication Date

The explanatory power of activity flow models of brain function

arXiv preprint arXiv:2402.02191

Michael W Cole

2024/2/3

Cognitive flexibility as the shifting of brain network flows by flexible neural representations

Michael W Cole

2024/6/1

Functionality of arousal-regulating brain circuitry at rest predicts human cognitive abilities

bioRxiv

Ella Podvalny

Ruben Sanchez-Romero

Michael W Cole

2024/4/1

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

NeuroImage

Ruben Sanchez-Romero

Takuya Ito

Ravi D Mill

Stephen José Hanson

Michael W Cole

2023/9/1

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

bioRxiv

Kirsten L Peterson

Ruben Sanchez-Romero

Ravi D Mill

Michael W Cole

2023

It is hard to prepare for task novelty: Cueing the novelty of upcoming tasks does not facilitate task performance

PsyArXiv

Mengqiao Chai

Ana F Palenciano

Ravi Mill

Michael W Cole

Senne Braem

2023/12/14

Neural representation dynamics reveal computational principles of cognitive task learning

bioRxiv

Ravi Dev Mill

Michael William Cole

2023

Competing numerical magnitude codes in decimal comparison: whole number and rational number distance both impact performance

Cogntion

Miriam Rosenberg-Lee

Sashank Varma

Michael W. Cole

Roberto A. Abreu-Mendoza

2023

Precision data-driven modeling of cortical dynamics reveals idiosyncratic mechanisms underlying canonical oscillations

bioRxiv

Matthew F Singh

Todd S Braver

Michael W Cole

ShiNung Ching

2023/11/16

Control-theoretic integration of stimulation and electrophysiology for cognitive enhancement

Frontiers in Neuroimaging

Matthew F Singh

Michael W Cole

Todd S Braver

ShiNung Ching

2022/11/18

Latent functional connectivity underlying multiple brain states

Network Neuroscience

Ethan M McCormick

Katelyn L Arnemann

Takuya Ito

Stephen José Hanson

Michael W Cole

2022/6/1

Protocol for activity flow mapping of neurocognitive computations using the Brain Activity Flow Toolbox

STAR protocols

Carrisa V Cocuzza

Ruben Sanchez-Romero

Michael W Cole

2022/3/18

Global connectivity fingerprints predict the domain generality of multiple-demand regions

Cerebral Cortex

Douglas H Schultz

Takuya Ito

Michael W Cole

2022/10/15

Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior

Nature communications

Takuya Ito

Guangyu Robert Yang

Patryk Laurent

Douglas H Schultz

Michael W Cole

2022/2/3

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

PLoS biology

Ravi D Mill

Julia L Hamilton

Emily C Winfield

Nicole Lalta

Richard H Chen

...

2022/8/18

Dorsal attention network activity during perceptual organization is distinct in schizophrenia and predictive of cognitive disorganization

European Journal of Neuroscience

Brian P Keane

Bart Krekelberg

Ravi D Mill

Steven M Silverstein

Judy L Thompson

...

2023/2

Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement

Matthew F Singh

Michael W Cole

Todd S Braver

ShiNung Ching

2022/1/1

Thalamocortical contributions to cognitive task activity

Elife

Kai Hwang

James M Shine

Michael W Cole

Evan Sorenson

2022/12/20

Functional Redundancy of the Posterior Hippocampi, but not Anterior Hippocampi or Left Frontal Cortex, is Disrupted in Pathological Brain Aging

bioRxiv

Jenna Blujus

Michael W Cole

Elena K Festa

Stephen L Buka

Stephen P Salloway

...

2022/1/1

Efficient identification for modeling high-dimensional brain dynamics

Matthew F Singh

Michael Wang

Michael W Cole

ShiNung Ching

2022/6/8

See List of Professors in Michael W. Cole University(Rutgers, The State University of New Jersey)

Co-Authors

H-index: 129
Steve Petersen

Steve Petersen

Washington University in St. Louis

H-index: 104
Danielle (Dani) S. Bassett

Danielle (Dani) S. Bassett

University of Pennsylvania

H-index: 100
Xiao-Jing Wang

Xiao-Jing Wang

New York University

H-index: 97
Todd S. Braver

Todd S. Braver

Washington University in St. Louis

H-index: 69
Walter Schneider

Walter Schneider

University of Pittsburgh

H-index: 61
Alan Anticevic

Alan Anticevic

Yale University

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