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  1. Amelia Traylor's NSC ePortfolio

    Traylor, Amelia
    [ca. June 2020]

    This document is an archive of Amelia Traylor's electronic portfolio (ePortfolio) produced as a capstone requirement for the Notation in Science Communication. In their ePortfolios, NSC students demonstrate how they have met the NSC learning outcomes. These learning portfolios detail students’ growth and development as scientists and science communicators rather than showcasing only their best work. ePortfolios are reviewed and approved by faculty, earning students a special designation on their official Stanford transcript that reflects their science communication acumen.

  2. A Behavioral System for Imaging Prefrontal Cortex Activity in Freely Behaving Mice

    Nguyen, Nghia
    June 2, 2017

    The medial prefrontal cortex (mPFC) is important in guiding learned, reward-seeking behavior through the integration of relevant information from multiple brain regions. Multiple studies have used the head-fixed Go/No-Go task to assess mPFC function in decision-making because rodents learn the task quickly and it is compatible with several imaging strategies. However, this paradigm has two inherent flaws: 1) head-fixation does not emulate natural behavior, and 2) the motivational state of the animals is ambiguous because they are forced to perform task trials at an experimenter-defined schedule. To assess the function of mPFC in decision making in a more naturalistic context, I have designed and successfully built a behavioral system that robustly reads out a two-alternative-forced choice (2AFC) behavior in freely moving mice. First, this behavioral system allows for freely moving mice to perform learned choice behavior in a custom-designed behavioral box that is dimensioned to mimic its home cage. Second, mice are able to self-initiate task trials without external constraints placed upon them, which is made possible by motion sensing hardware. This behavioral system is also built to be flexible, allowing for easy control of task parameters and integration of external devices such as imaging cameras. The construction of this system combines sensory systems, MATLAB software, and the Arduino platform. By using this behavioral set up, I have effectively trained mice in the 2AFC task, and have recently begun to perform in vivo Ca2+ imaging using the Inscopix mini-endoscopic microscopy system. By correlating the real-time activity patterns of genetically/anatomically-defined mPFC neurons with freely moving choice behavior, I have found cell type specific activity that correlates with specific outcomes of 2AFC.

  3. F15-BIOPHYS-244-01 : Mechanotransduction in Cells and Tissues. 2015 Fall

    Chaudhuri, Ovijit
    Stanford (Calif.), 2015

    Mechanical cues play a critical role in development, normal functioning of cells and tissues, and various diseases. This course will cover what is known about cellular mechanotransduction, or the processes by which living cells sense and respond to physical cues such as physiological forces or mechanical properties of the tissue microenvironment. Experimental techniques and current areas of active investigation will be highlighted.Mechanical cues play a critical role in development, normal functioning of cells and tissues, and various diseases. This course will cover what is known about cellular mechanotransduction, or the processes by which living cells sense and respond to physical cues such as physiological forces or mechanical properties of the tissue microenvironment. Experimental techniques and current areas of active investigation will be highlighted.

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