PUBLICATIONS
Differences in the expression of cortex-wide neural
dynamics are related to behavioral phenotype
MacDowell CJ, Briones BA, Lenzi MJ, Gustison ML, Buschman TJ
Current Biology. March 25, 2024. 34: 1333–1340,
Building compositional tasks with shared neural subspaces
Tafazoli S, Bouchacourt FM, Ardalan A, Markov NT, Uchimura M, Mattar MG, Daw ND, Buschman TJ
Available on bioRxiv.
Learning attentional templates for value-based decision-making
Jahn CI, Markov NT, Morea B, Daw ND, Ebitz RB, Buschman TJ
Cell. March 14, 2024. 187 (6): 1476-1489.
The neural basis of swap errors in working memory
Alleman M, Panichello MF, Buschman TJ, Johnston WJ
Available on bioRxiv.
Multiplexed Subspaces Route Neural Activity Across Brain-wide Networks
MacDowell CJ, Libby A, Jahn CI, Tafazoli S, Buschman TJ
Available on bioRxiv.
Fast rule switching and slow rule updating in a perceptual categorization task
Bouchacourt F*, Tafazoli S*, Mattar MG, Buschman TJ#, Daw ND#
eLife. 2022.
A Goldilocks theory of cognitive control: Balancing precision and efficiency with low-dimensional control states
Camden J. MacDowell, Sina Tafazoli, Timothy J. Buschman
Curr. Opin. Neurobio. 2022. 76.
Perineuronal Nets in the Dorsomedial Striatum Contribute to Behavioral Dysfunction in Mouse Models of Excessive Repetitive Behavior
Briones BA, Pitcher MN, Fleming WT, Libby A, Diethorn EJ, Haye AE, MacDowell CJ, Zych AD, Waters RC, Buschman TJ, Witten IB, Gould E
Biological Psychiatry Global Open Science. 2021.
Balancing flexibility and interference in working memory
Buschman TJ
Annu. Rev. Vis. Sci. 2021. 7: 367–88.
Rotational dynamics reduce interference between sensory and memory representations
Libby A and Buschman TJ
Nature Neuroscience. 2021
Shared mechanisms underlie the control of working memory and attention
Panichello MF and Buschman TJ
Nature, Mar. 31, 2021.
Learning to Control the Brain through Adaptive Closed-Loop Patterned Stimulation
Tafazoli S, MacDowell, CJ, Che Z, Letai KC, Steinhardt C, and Buschman TJ
Journal of Neural Engineering. Sep 14, 2020.
Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory
Yu Q, Panichello MF, Cai Y, Postle BR, and Buschman TJ
PLoS Biology, Sep. 8, 2020.
Low-Dimensional Spatio-Temporal Dynamics Underlie Cortex-Wide Neural Activity
MacDowell CJ and Buschman TJ
Current Biology. May 28, 2020. 30 (14): 2665-2680.
Drifting codes within a stable coding scheme for working memory
Wolff MJ, Jochim J, Akyürek EG, Buschman TJ, Stokes MG
PLoS Biology, March 2, 2020.
Error-correcting dynamics in visual working memory
Panichello MF, DePasquale B, Pillow JW, Buschman TJ
Nature Communications. 2019. 10 (1): 3366.
A Flexible Model of Working Memory
Bouchacourt F and Buschman TJ
Neuron. 2019. 103 (2): 184-185.
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.
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.
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.
Working Memory Load Modulates Neuronal Coupling
Pinotsis DA, Buschman TJ, Miller EK
Cerebral Cortex, 2018; 29 (4): 1670-1681.
Stimulus Load and Oscillatory Activity in Higher Cortex
Kornblith S, Buschman TJ, Miller EK
Cerebral Cortex, 2016. 26 (9): 3722-3784.
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.
From Behavior to Neural Dynamics: An Integrated Theory of Attention
Buschman TJ and Kastner S
Neuron, 2015; 88 (1): 127-144.
Cortical Information Flow during Flexible Sensorimotor Decisions
Siegel M, Buschman TJ and Miller EK
Science, 2015. 348 (6241): 1352-1355.
Working memory capacity: Limits on the bandwidth of cognition
Miller EK and Buschman TJ
Daedalus, 2014. 144 (1): 112-122.
Goal-direction and top-down control
Buschman TJ and Miller EK
Philosophical Transactions of the Royal Society B, 2014. 369 (1655): 20130471.
PFC Neurons Reflect Categorical Decisions about Ambiguous Stimuli
Roy JE, Buschman TJ, and Miller EK
Journal of Cognitive Neuroscience, 2014. 26(6): 1283-91.
Cortical circuits for the control of attention
Miller EK and Buschman TJ
Current Opinion in Neurobiology, 2013. 23: 216-222.
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.
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.
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.
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.
Shifting the spotlight of attention: evidence for discrete computations in cognition
Buschman TJ and Miller EK
Frontiers in Human Neuroscience, 2010; 4: 194.
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.
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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