Working memory adaptively recomputes plans amid distraction
Ziyao Zhang, Jarrod A. Lewis‐Peacock
This study investigates how working memory adapts to distractions by re-evaluating plans and updating neural representations during task execution.
Author
The University of Texas at AustinORCID 0000-0002-9918-465XUnclaimed ORCID profile · follow to get notified of new preprints
17 papers
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Ziyao Zhang, Jarrod A. Lewis‐Peacock
This study investigates how working memory adapts to distractions by re-evaluating plans and updating neural representations during task execution.
Ziyi Duan, Ziyao Zhang, Jarrod A. Lewis‐Peacock
This study shows that competition in working memory driven by temporal expectations leads to forgetting by reducing neural evidence for less relevant items.
Ziyao Zhang, Jarrod A. Lewis‐Peacock
The paper identifies a rapid representational inversion of singleton distractor signals in EEG data that supports attentional suppression during visual search.
Gustavo Santo Pedro Pamplona, James S. Sulzer, Ewa Beldzik…·Jarrod A. Lewis‐Peacock
The paper reanalyzes passive finger movement fMRI data using univariate and multivariate methods to show that multivariate analysis better identifies brain regions encoding kinesthesia and proprioception, with larger neural representation for amplitude and direction than velocity.
Hannah M. Stealey, Yi Zhao, Hung‐Yun Lu…·Samantha R. Santacruz
This study examines how individual neurons adapt during behavioral training and finds that neurons with strong population co-variation and prior behavioral contribution are less likely to change their activity.
Jacob DeRosa, Harry R. Smolker, Hyojeong Kim…·Marie T. Banich
The paper identifies neural activity patterns in brain networks linked to self-reported thought control difficulties using fMRI and multivariate pattern analysis during working memory tasks.
Hannah M. Stealey, Yi Zhao, Hung‐Yun Lu…·Samantha R. Santacruz
The paper investigates how neural spiking variability affects adaptation during a brain-computer interface task in rhesus macaques, finding that population variance metrics differ between easy and hard adaptation conditions.
Jacob DeRosa, Hyo‐Jeong Kim, Jarrod A. Lewis‐Peacock, Marie T. Banich
This study identifies distinct brain networks associated with different working memory removal operations using multi-voxel pattern analysis.
Nicole E. Keller, Augustin C. Hennings, Emily Leiker…·Joseph E. Dunsmoor
This study compares counterconditioning (rewarded extinction) to standard extinction in humans, finding that rewarded extinction reduces threat relapse and creates a stable memory trace in the vmPFC over one month.
Ethan F. Oblak, Jarrod A. Lewis‐Peacock, James S. Sulzer
This study uses fMRI neurofeedback to show that ring finger neural activity can be modulated more easily than middle finger activity, with behavioral consequences.
Helen Y. Weng, Jarrod A. Lewis‐Peacock, Frederick M. Hecht…·Adam H. Gazzaley
This paper uses MVPA on fMRI data to decode internal attention states during meditation, finding that participants spent more time on breath attention than other states.
Augustin C. Hennings, Mason McClay, Jarrod A. Lewis‐Peacock, Joseph E. Dunsmoor
This study shows that neural reinstatement of context helps resolve emotional memory competition in healthy individuals but not in PTSD.
Hyojeong Kim, Margaret L. Schlichting, Alison R. Preston, Jarrod A. Lewis‐Peacock
The paper shows that predictable contexts reduce pruning of existing memories and encoding of new memories, while unpredictable contexts lead to pruning.
Lea Maria Bartsch, Vanessa Maria Loaiza, Lutz Jäncke…·Jarrod A. Lewis‐Peacock
This fMRI study shows that refreshing and elaboration are distinct neural processes with different impacts on working memory and long-term memory.
Ethan F. Oblak, James S. Sulzer, Jarrod A. Lewis‐Peacock
This study uses offline simulations to optimize parameters for decoded neurofeedback experiments, showing they align with real performance and explain individual differences.
Tracy H. Wang, Katerina Placek, Jarrod A. Lewis‐Peacock
The paper shows that intending to forget increases processing of unwanted memories, leading to more forgetting, especially for moderately activated items.
Jarrod A. Lewis‐Peacock, Jonathan D. Cohen, Kenneth A. Norman
This paper uses multi-voxel pattern analysis to measure trial-by-trial working memory use in prospective memory, showing it correlates with behavior and improves prediction when combined with behavioral measures.