Publications by authors named "M Golub"

Recent advances in techniques for monitoring and perturbing neural populations have greatly enhanced our ability to study circuits in the brain. In particular, two-photon holographic optogenetics now enables precise photostimulation of experimenter-specified groups of individual neurons, while simultaneous two-photon calcium imaging enables the measurement of ongoing and induced activity across the neural population. Despite the enormous space of potential photostimulation patterns and the time-consuming nature of photostimulation experiments, very little algorithmic work has been done to determine the most effective photostimulation patterns for identifying the neural population dynamics.

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Article Synopsis
  • The study aims to improve the diagnosis and treatment of congenital heart diseases by examining the relationship between hemodynamic parameters and the structure of the thoracic aorta.
  • Researchers utilized multi-slice spiral CT images of the aorta from patients with and without heart issues to create numerical models and estimate hemodynamic features using fluid dynamics techniques.
  • A metamodel was developed that accurately classifies different aorta types, indicating that structural measurements can reliably predict hemodynamic characteristics, and this approach can be applied to other heart conditions as well.
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For patients with end-stage heart disease and borderline hemodynamics, high human leukocyte antigen allosensitization presents a barrier to heart transplantation in a timely manner. Conventional desensitization protocols are inadequate in this context due to time constraints and for the most highly reactive immunologically. We previously reported performing heart after liver transplant with domino liver transplant on a single patient without liver disease.

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A remarkable demonstration of the flexibility of mammalian motor systems is primates' ability to learn to control brain-computer interfaces (BCIs). This constitutes a completely novel motor behavior, yet primates are capable of learning to control BCIs under a wide range of conditions. BCIs with carefully calibrated decoders, for example, can be learned with only minutes to hours of practice.

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How are we able to learn new behaviors without disrupting previously learned ones? To understand how the brain achieves this, we used a brain-computer interface (BCI) learning paradigm, which enables us to detect the presence of a memory of one behavior while performing another. We found that learning to use a new BCI map altered the neural activity that monkeys produced when they returned to using a familiar BCI map in a way that was specific to the learning experience. That is, learning left a "memory trace" in the primary motor cortex.

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