☰ Neurotree

Michael W. Cole

Affiliations:

2014-

Rutgers University, New Brunswick, New Brunswick, NJ, United States

Area:

Cognitive control, fMRI, MEG, rapid instructed task learning (RITL), memory

Website:

http://www.colelab.org/

Google:

Mean distance: 14.67 (cluster 23)

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Parents

Mark D'Esposito	research assistant		UC Berkeley
Walter Schneider	grad student		University of Pittsburgh
Todd S. Braver	post-doc	2009-2013	Washington University

Children

Kaustubh R Kulkarni	research assistant	2015-2017	Rutgers, New Brunswick
Takuya Ito	grad student
Carrisa V Cocuzza	grad student	2016-2022	Rutgers University—Newark
Doug Schultz	post-doc	2014-	Rutgers, Newark

Collaborators

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Publications

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Singh MF, Braver TS, Cole MW, et al. (2023) Precision data-driven modeling of cortical dynamics reveals idiosyncratic mechanisms underlying canonical oscillations. Biorxiv : the Preprint Server For Biology
Sanchez-Romero R, Ito T, Mill RD, et al. (2023) Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations. Neuroimage. 278: 120300
Mill RD, Cole MW. (2023) Neural representation dynamics reveal computational principles of cognitive task learning. Biorxiv : the Preprint Server For Biology
Singh MF, Cole MW, Braver TS, et al. (2022) Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement. Annual Reviews in Control. 54: 363-376
Singh MF, Cole MW, Braver TS, et al. (2022) Control-theoretic integration of stimulation and electrophysiology for cognitive enhancement. Frontiers in Neuroimaging. 1: 982288
Hwang K, Shine JM, Cole MW, et al. (2022) Thalamocortical contribution to cognitive task activity. Elife. 11
Mill RD, Hamilton JL, Winfield EC, et al. (2022) Network modeling of dynamic brain interactions predicts emergence of neural information that supports human cognitive behavior. Plos Biology. 20: e3001686
McCormick EM, Arnemann KL, Ito T, et al. (2022) Latent functional connectivity underlying multiple brain states. Network Neuroscience (Cambridge, Mass.). 6: 570-590
Cocuzza CV, Sanchez-Romero R, Cole MW. (2022) Protocol for activity flow mapping of neurocognitive computations using the Brain Activity Flow Toolbox. Star Protocols. 3: 101094
Ito T, Yang GR, Laurent P, et al. (2022) Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior. Nature Communications. 13: 673

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