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  1. Flexible neural control of motor units

    Publication
    Voluntary movement requires communication from cortex to the spinal cord, where a dedicated pool of motor units (MUs) activates each muscle. The canonical description of MU function rests …

  2. Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis

    Publication
    A key aspect of neuroscience research is the development of powerful, general-purpose data analyses that process large datasets. Unfortunately, modern data analyses have a hidden dependence upon …

  3. Motor cortex activity across movement speeds is predicted by network-level strategies for generating muscle activity

    Publication
    Learned movements can be skillfully performed at different paces. What neural strategies produce this flexibility? Can they be predicted and understood by network modeling? We trained monkeys to …

  4. Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders

    Publication
    ecent neuroscience studies demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral measurements are now often collected using video cameras, resulting …

  5. Interrogating theoretical models of neural computation with emergent property inference

    Publication
    A cornerstone of theoretical neuroscience is the circuit model: a system of equations that captures a hypothesized neural mechanism. Such models are valuable when they give rise to …

  6. Chronic, cortex-wide imaging of specific cell populations during behavior

    Publication

  7. Value and choice as separable and stable representations in orbitofrontal cortex

    Publication
    alue-based decision-making requires different variables-including offer value, choice, expected outcome, and recent history-at different times in the decision process. Orbitofrontal cortex (OFC) is implicated …

  8. Neural Trajectories in the Supplementary Motor Area and Motor Cortex Exhibit Distinct Geometries, Compatible with Different Classes of Computation.

    Publication
    The supplementary motor area (SMA) is believed to contribute to higher order aspects of motor control. We considered a key higher order role: tracking progress throughout an action …

  9. Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data.

    Publication
    Widefield calcium imaging enables recording of large-scale neural activity across the mouse dorsal cortex. In order to examine the relationship of these neural signals to the resulting …

  10. Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning.

    Publication
    Inhibitory neurons, which play a critical role in decision-making models, are often simplified as a single pool of non-selective neurons lacking connection specificity. This assumption is …

  11. Towards the neural population doctrine

    Publication
    Across neuroscience, large-scale data recording and population-level analysis methods have experienced explosive growth. While the underlying hardware and computational techniques have been well reviewed, we focus …

  12. Conservation of preparatory neural events in monkey motor cortex regardless of how movement is initiated

    Publication
    A time-consuming preparatory stage is hypothesized to precede voluntary movement. A putative neural substrate of motor preparation occurs when a delay separates instruction and execution cues. When …

  13. Different population dynamics in the supplementary motor area and motor cortex during reaching.

    Publication
    Neural populations perform computations through their collective activity. Different computations likely require different population-level dynamics. We leverage this assumption to examine neural responses recorded from the supplementary …

  14. Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience.

    Publication
    Modern large-scale multineuronal recording methodologies, including multielectrode arrays, calcium imaging, and optogenetic techniques, produce single-neuron resolution data of a magnitude and precision that were the realm …

  15. Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience.

    Publication
    Modern large-scale multineuronal recording methodologies, including multielectrode arrays, calcium imaging, and optogenetic techniques, produce single-neuron resolution data of a magnitude and precision that were the realm …

  16. Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response

    Publication
    Primate motor cortex projects to spinal interneurons and motoneurons, suggesting that motor cortex activity may be dominated by muscle-like commands. Observations during reaching lend support to this …

  17. Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays.

    Publication
    Simultaneous electrical stimulation and recording using multi-electrode arrays can provide a valuable technique for studying circuit connectivity and engineering neural interfaces. However, interpreting these measurements is challenging …

  18. Structure in neural population recordings: an expected byproduct of simpler phenomena?

    Publication
    Neuroscientists increasingly analyze the joint activity of multineuron recordings to identify population-level structures believed to be significant and scientifically novel. Claims of significant population structure support hypotheses …

  19. Behaviorally Selective Engagement of Short-Latency Effector Pathways by Motor Cortex

    Publication
    Blocking motor cortical output with lesions or pharmacological inactivation has identified movements that require motor cortex. Yet, when and how motor cortex influences muscle activity during movement execution …

  20. Reorganization between preparatory and movement population responses in motor cortex

    Publication
    Neural populations can change the computation they perform on very short timescales. Although such flexibility is common, the underlying computational strategies at the population level remain unknown. To …