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Showing 1–5 of 5 results
Advanced filters: Author: Gamaleldin F. Elsayed Clear advanced filters

  • To what extent are population-level results an expected byproduct of simpler structure already known to exist in single neurons? Conventional controls are insufficient to perform this critical investigation. The authors developed a methodological framework to test the significance of population-level studies and apply it to prefrontal and motor cortices.

    • Gamaleldin F Elsayed
    • John P Cunningham
    Research
    Nature Neuroscience
    Volume: 20, P: 1310-1318

  • Single neuron responses are highly complex and dynamic yet they are able to flexibly represent behaviour through their collective activity. Here the authors demonstrate that population activity patterns of motor cortex neurons are orthogonal during successive task epochs that are linked through a simple linear function.

    • Gamaleldin F. Elsayed
    • Antonio H. Lara
    • John P. Cunningham
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-15

  • Artificial neural networks (ANNs) are vulnerable to subtle adversarial perturbations that yield misclassification errors. Here, behavioral studies demonstrate that adversarial perturbations that fool ANNs similarly bias human choice.

    • Vijay Veerabadran
    • Josh Goldman
    • Gamaleldin F. Elsayed
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-12

  • In value-based decision-making, single prefrontal neurons represent multiple variables at different times in the decision process. Here, the authors show these representations to be separable and stable at the population level, allowing read out of specific variables at behaviorally relevant times.

    • Daniel L. Kimmel
    • Gamaleldin F. Elsayed
    • William T. Newsome
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-19