Hi!

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I guess I’m kinda becoming a regular here ;P The feedback has honestly been astonishing so far guys! I absolutely love all the arguments/debates I have gotten from reddit.

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I posted this a few weeks ago https://www.reddit.com/r/MachineLearning/comments/edrnin/project_topological_analysis_of_narratives/

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The recent work on single neuron XOR made me want to create a post that gives a use case of studying biological neural coding so we can reapply it to deep learning.

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I have a follow up on modern approaches to embedding narratives, where I evaluate a current WIP approach from a set of authors that for the time being have chosen to remain anonymous. (They will be named at a later date). I have posted it here: https://www.louiscastricato.com/post/on-the-embedding-of-narratives-and-how-it-pertains-to-computational-neuroscience

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As before, rebuttals are more than welcome! The next follow up will be on reinforcement learning applied to comp narratology hopefully. Either that or I will discuss more about the scientific computing research behind topological data analysis. Perhaps give some tidbits about doing GPU accelerated TDA. (This is an ongoing project, I can’t share full details yet)