Princeton University, Princeton NJ

©2019 by Buschman Lab

PUBLICATIONS

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Rotational Dynamics Reduce Interference Between Sensory and Memory Representations

Libby A and Buschman TJ

Under Review; Available on bioRxiv

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Error-correcting dynamics in visual working memory

Panichello MF, DePasquale B, Pillow JW, Buschman TJ

Nature Communications, 2019. 10 (1): 3366.

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A Flexible Model of Working Memory

Bouchacourt F and Buschman TJ

Neuron, 2019. 103 (2): 184-185

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Perineuronal nets, inhibitory interneurons, and anxiety-related ventral hippocampal neuronal oscillations are altered by early life adversity

Murthy S, Kane GA, Katchur NJ, Lara Mejia PS, Obiofuma G, Buschman TJ, McEwen BS, Gould E

Biological Psychiatry, 2019; 85 (12): 1011-1020.

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Intrinsic neuronal dynamics predict distinct functional roles during working memory

Wasmuht DF, Spaak E, Buschman TJ, Miller EK, Stokes MG

Nature Communications, 2018; 9 (1): 3499.

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Evidence supporting a role for astrocytes in the regulation of cognitive flexibility and neuronal oscillations through the Ca2+ binding protein S100β

Brockett AT, Kane GA, Monari PK, Briones BA, Vigneron PA, Barber GA, Bermudez A, Dieffenbach U, Kloth AD, Buschman TJ, Gould E

PLoS One, 2018; 13 (4): e0195726.

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Working Memory Load Modulates Neuronal Coupling

Pinotsis DA, Buschman TJ, Miller EK

Cerebral Cortex, 2018; 29 (4): 1670-1681.

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Stimulus Load and Oscillatory Activity in Higher Cortex

Kornblith S, Buschman TJ, Miller EK

Cerebral Cortex, 2016. 26 (9): 3722-3784.

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Gamma and Beta Bursts Underlie Working Memory

Lundqvist M, Rose J, Herman P, Brincat SL, Buschman TJ, Miller EK

Neuron, 2016; 90 (1): 152-64.

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From Behavior to Neural Dynamics: An Integrated Theory of Attention

Buschman TJ and Kastner S

Neuron, 2015; 88 (1): 127-144.

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Cortical Information Flow during Flexible Sensorimotor Decisions

Siegel M, Buschman TJ and Miller EK

Science, 2015. 348 (6241): 1352-1355.

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Working memory capacity: Limits on the bandwidth of cognition

Miller EK and Buschman TJ

Daedalus, 2014. 144 (1): 112-122.

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Goal-direction and top-down control

Buschman TJ and Miller EK

Philosophical Transactions of the Royal Society B, 2014. 369 (1655): 20130471.

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PFC Neurons Reflect Categorical Decisions about Ambiguous Stimuli

Roy JE, Buschman TJ, and Miller EK

Journal of Cognitive Neuroscience, 2014. 26(6): 1283-91.

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Cortical circuits for the control of attention

Miller EK and Buschman TJ

Current Opinion in Neurobiology, 2013. 23: 216-222.

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Synchronous oscillatory neural ensembles for rules in the prefrontal cortex

Buschman TJ, Denovellis E, Diogo C, Bullock D, Miller EK

Neuron, 2012; 76 (4): 838-846.

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Comparison of primate prefrontal and premotor cortex neuronal activity during visual categorization

Cromer JA, Roy JE, Buschman TJ and Miller EK

Journal of Cognitive Neuroscience, 2011; 23 (11): 3355-3365.

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Laminar differences in gamma and alpha coherence in the ventral stream

Buffalo E, Fries P, Landman R, Buschman TJ and Desimone R

Proceedings of the National Academy of Sciences USA (PNAS) 2011; 108(27) 11262-11267.

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Neural substrates of cognitive capacity limitations

Buschman TJ, Siegel M, Roy JE and Miller EK

Proceedings of the National Academy of Sciences USA (PNAS) 2011; 108(27): 11252-11255.

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Shifting the spotlight of attention: evidence for discrete computations in cognition

Buschman TJ and Miller EK

Frontiers in Human Neuroscience, 2010; 4: 194.

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Serial, covert shifts of attention during visual search are reflected by the frontal eye fields and correlated with population oscillations

Buschman TJ and Miller EK

Neuron, 2009; 63 (3): 386-96.

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Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices

Buschman TJ and Miller EK

Science, 2007; 315 (5820): 1860-1862.

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