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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
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portfolio
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publications
Age-Related Changes in Sensorimotor Temporal Binding
Published in Frontiers in Human Neuroscience, 2017
This study investigates how aging affects the temporal coupling between voluntary actions and sensory outcomes, revealing declines in both temporal sensitivity and sensorimotor recalibration.
Recommended citation: Vercillo, T., Carrasco, C., & Jiang, F. (2017). "Age-Related Changes in Sensorimotor Temporal Binding." Frontiers in Human Neuroscience, 11, Article 500. https://doi.org/10.3389/fnhum.2017.00500
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No tDCS Augmented Working Memory Training Benefit in Undergraduates Rewarded with Course Credit
Published in Brain Stimulation, 2020
This study tested whether frontal or parietal tDCS enhances working memory training gains in undergraduates, but found no significant improvement across any montage.
Recommended citation: Shires, J., Carrasco, C., & Berryhill, M. E. (2020). "No tDCS Augmented Working Memory Training Benefit in Undergraduates Rewarded with Course Credit." Brain Stimulation, 13(6), 1524–1526. https://doi.org/10.1016/j.brs.2020.08.015
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Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data
Published in NeuroImage, 2024
This study evaluates the impact of different spatial PCA strategies on SVM-based EEG decoding accuracy across various ERP paradigms, finding limited benefit over raw channel data.
Recommended citation: Zhang, G., Carrasco, C. D., Winsler, K., Bahle, B., Cong, F., & Luck, S. J. (2024). "Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data." NeuroImage, 293, 120625. https://doi.org/10.1016/j.neuroimage.2024.120625
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Using multivariate pattern analysis to increase effect sizes for event-related potential analyses
Published in Psychophysiology, 2024
This study demonstrates that multivariate pattern analysis (MVPA) can enhance effect sizes in ERP research, offering greater statistical power than traditional univariate methods.
Recommended citation: Carrasco, C. D., Bahle, B., Simmons, A. M., & Luck, S. J. (2024). "Using multivariate pattern analysis to increase effect sizes for event-related potential analyses." Psychophysiology, 61(7), e14570. https://doi.org/10.1111/psyp.14570
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Enhanced Working Memory Representations for Rare Events
Published in Psychophysiology, 2025
This study shows that rare, task-relevant stimuli elicit stronger working memory representations, indexed by behavioral accuracy, reduced bias, and enhanced EEG decoding.
Recommended citation: Carrasco, C. D., Simmons, A. M., Kiat, J. E., & Luck, S. J. (2025). "Enhanced Working Memory Representations for Rare Events." Psychophysiology, 62:e70038. https://doi.org/10.1111/psyp.70038
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A database of upper limb surface electromyogram signals from demographically diverse individuals
Published in Scientific Data, 2025
An open-access EMG dataset from 91 diverse adults, supports research on fairness and variability in gesture decoding.
Recommended citation: Gowda, H. T., Kaul, N., Carrasco, C., et al. (2025). "A database of upper limb surface electromyogram signals from demographically diverse individuals." Scientific Data, 12, 517. https://doi.org/10.1038/s41597-025-04825-z
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Older Adults are Impaired by Distractors Presented During Working Memory Encoding
Published in PsyArXiv Preprint, 2025
Working memory performance declines across the lifespan, partly due to greater vulnerability to environmental distraction.
Recommended citation: Carrasco, C. D., Jones, K. T. & Berryhill, M. (2025). "Older Adults are Impaired by Distractors Presented During Working Memory Encoding." PsyArXiv Preprint. https://doi.org/10.31234/osf.io/yjxen
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talks
Working Memory and Selective Attention
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Behavioral Oscillations in Working Memory
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Presented research conducted during the McNair Scholars summer program at the University of Nevada, Reno in Marian Berryhill’s lab. This talk explored whether behavior could be influenced by jittering stimulus presentation times to align with the brain’s intrinsic oscillatory cycles—particularly within the alpha frequency band.
Bridging Scales in Human Electrophysiology: From Single Units to Scalp EEG
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Gave a lab seminar to the Berryhill Lab covering a broad methodological overview of human electrophysiology across multiple spatial scales. The talk traced my work beginning with single-unit recordings in humans, progressing through projects involving local field potentials (LFPs), and culminating in noninvasive scalp EEG recordings.
A Comparison of ERPs, SVM Decoding, and Cross Mahalanobis Distance Analysis in EEG
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Presented to the UC Davis EEG Consortium, a group of researchers meeting monthly to discuss topics in human electrophysiology. This talk shared preliminary results comparing traditional ERP averaging methods to multivariate pattern analysis (MVPA) techniques, including support vector machine (SVM) decoding and cross-validated Mahalanobis distance.
Are Rare Stimuli that Produce a P3b Component Preferentially Encoded in Working Memory?
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Presented preliminary findings suggesting that rare, task-relevant stimuli — typically evoking a P3b component — are preferentially encoded in working memory. This talk highlighted behavioral and electrophysiological evidence showing that oddball stimuli elicit stronger working memory representations compared to frequent stimuli.
Multivariate EEG Approaches, Working Memory, and Contingency Learning
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This talk provided an overview of how multivariate EEG decoding approaches are transforming ERP research and enabling new insights into cognitive processes that are difficult to capture through traditional averaging techniques. I began by reviewing recent advances in the use of multivariate methods (e.g., SVM decoding, cross-validated Mahalanobis distance) to extract information from scalp voltage patterns.
MVPA EEG, Memory Reinstatement, and Credit Assignment
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Gave a research talk to the Knight Lab at UC Berkeley focused on how multivariate EEG decoding techniques can be applied to investigate memory reinstatement and credit assignment in decision-making contexts. This talk built on previous work comparing univariate and multivariate ERP approaches but shifted emphasis toward learning dynamics and cognitive control.
Understanding Scalp Electrophysiology via Machine Learning: Insights into Working Memory and Credit Assignment
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This PhD exit seminar presented research exploring how machine learning techniques can enhance our understanding of scalp-recorded electrophysiological signals in the context of working memory and decision-making.
teaching
Discussion Leader – SCI 110: First-Year Experience in Science and Mathematics
Undergraduate seminar, College of Science, University of Nevada, Reno, 2015
Semester Taught: Fall 2015
Role: Discussion Leader
Discussion Leader – NSC 298: Neuroimaging Journal Club
Graduate seminar, Neuroscience Graduate Group, University of California, Davis, 2019
Quarters Led: Winter 2019, Spring 2019, Fall 2019
Role: Discussion Leader
Teaching Assistant – PSC 001Y: General Psychology (Hybrid)
Undergraduate course, Department of Psychology, University of California, Davis, 2020
Quarters Taught: Fall 2020, Winter 2021, Spring 2024
Role: Teaching Assistant
Teaching Assistant – PSC 133: NeuroEconomics
Undergraduate course, Department of Psychology, University of California, Davis, 2021
Quarter Taught: Spring 2021
Role: Teaching Assistant