<p>Abstract: In recent years, advances in systems neuroscience have been facilitated by an increasing mindset of sharing. The increased complexity of experiments and data analysis make continuing this trend critical. In this talk, I will present three examples of new open source tools that my lab has developed, and describe our vision for how they will support new science at Rice University and around the world. These three tools span the process of (1) managing and controlling behavioral experiments with an easily extensible, low-cost Python based virtual reality system; (2) acquiring fluorescence data in mice in experiments that push the limits of frame rate, signal strength, and/or imaging duration with the MiniFAST; and (3) conducting spectral analysis of extremely large datasets in Python with GhostiPy. We expect that these tools will be broadly useful, but I hope that my talk will also inspire the audience to commit to doing their part to contributing to the furthering of science with an open source mindset.</p>

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