Poster for ASSC 22 Below is the poster I will be presenting at the conference, it’s a metaphysical take on consciousness theory, which hopefully will trigger some debate. please be patient while it loads, it’s a big SVG image! MathJax.Hub.Config({ tex2jax: { inlineMath: [['$','$'], ['\\(','\\)']], displayMath: [['$$','$$'], ['\[','\]']], processEscapes: true, processEnvironments: true, skipTags: ['script', 'noscript', 'style', 'textarea', 'pre'], TeX: { equationNumbers: { autoNumber: "AMS" }, extensions: ["

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LaTeX is a fantastic way to create and display print-ready scientific documents. There are a number of different ways to edit and produce LaTeX documents, which we’ll revist in a future post. In this post, I want to deal with one of the major issues that people find difficult with LaTeX: tables. LaTeX can certainly produce any type of table you’d like to create, but it does so in a way that can be very difficult to follow visually.

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In the process of building a new personal website, I hunted around for static website engines. My previous website used an engine called habari, but development of the Habari Project is discontinued and I was interested in writing posts in markdown instead of plain HTML. So let’s get a few questions answered immediately: Why a static engine? What is markdown? A static website engine converts an intermediate syntax into HTML.

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If you’ve ever noticed the 3D images of brain structures on Wikipedia, you may have been curious where they are sourced from. It turns out that they are generated from a freely accessible Japanese database, the Life Sciences Database Archive. This database is licensed under Creative Commons. It includes anatomical models that can be downloaded as well as other public databases including gene expression databases. The anatomical models can be downloaded and browsed online at the Body Parts 3D site.

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I recently attended a great symposium for time researchers in Tokyo. It was a fantastic to have a chance to exchange thoughts about new theories of psychological time and to see some very elegant experiments. The conference website is here: Time in Tokyo Symposium. For the Symposium, I prepared a theoretical discussion of the specious present, considering how we may explore neurophenomenology with reference to recent neuroscientic findings. The slides for the talk are available here:

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NDVI is an acronym for Normalised Difference Vegetation Index. It’s a very interesting measure of plant photosynthesis and health derived from measuring the difference in near-infrared and visual reflectance. I’ve recently been exploring its use for plant monitoring; here are a few calibration images. [NDVI=\frac{NIR-VIS}{NIR+VIS}] The original image is on the left, with NDVI on the right These images were shot using a full-spectrum modified Sony A7 camera with OM Zuiko 21mm/3.

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Francesco Giorlando

Musings on Research, Tech and Medicine
Dr Giorlando is a clinician-scientist with interests in neuroscience, psychophysics, addiction and temporal perception. He implements high-performance computing and electronic systems for research and enjoys hacking with digital media and sustainable technologies.

Scientist and Clinician

Melbourne, Australia