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<br><br> It seemed like the first time I ever saw a hypnagogic hallucination actually move and retain persistence over time.
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<br> For me, normally it's a scattering of geometric shapes which form into faces, very many faces, in rapid succession. This was the first time I saw anything cogent enough to visualize as a moving subject in my minds eye.
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<br><br> It seemed like the first time I ever saw a hypnagogic hallucination actually animate, move, and persist over time.
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<br><br> As I mentioned above, the wings looked blocky. I knew I was seeing flapping wings, but it was as though my convolutional deep-learning graph node of neurons showed itself, specifically the convolutional part, like CNN edge detection within an AI network.
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<br><br> Normally for me,
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<br> It's a scattering of geometric shapes which form into faces, very many faces, in rapid succession.
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<br> This was the first time I saw anything cogent enough to visualize as a moving subject in my minds eye.
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<br><br> The blockiness was the tensor of flapping wings of a red-winged blackbird, but the motion itself was the min-max of wing extensions over time. The convolutional edges of time based movement, visualized as a solid shape of "wing", while I knew it was flapping.
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<br><br> As I mentioned above, the wings looked blocky; like low resolution animation smearing.
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<br> I knew I was seeing flapping wings, but it was as though my convolutional deep-learning graph network of neurons showed itself,
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<br> Specifically the convolutional part, like CNN edge detection within an AI network.
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<br><br> The blockiness was the tensor of flapping wings of a red-winged blackbird,
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<br> Yet the motion smearing itself was the min-max of wing extensions over time.
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<br> The convolutional edges of time based movement, visualized as a solid shape of "wing", while I knew it was flapping.
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<br><br> I've been focusing a lot on Time.
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<br> Time doesn't look normal in the cases of predicting future states, future word chunks, future predictions.
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<br> It operates like a continuum, where sections of time are perceived like seeing a graph of a company on the Stock Exchange.
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<br> But in the case of images and multitudinous arrays of data, it becomes a ranges of Edges and shapes.
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<br> Time doesn't look like Time when predicting future states, future word chunks, future predictions.
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<br> It operates like a continuum, where sections of time are perceived like seeing a chart of a company on the Stock Exchange.
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<br> But in the case of images and multitudinous arrays of data, it becomes ranges of edge detections into shapes.
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<br><br> I never thought I would have seen my brain visualize its internal edges and shapes in a way I could consciously see what my brain believes motion is.
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<br> But then it happened to me last night.
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<br><br> I never thought I would have seen my brain visualize its internal edges and shapes in a way I could consciously tell what my brain believes motion is.
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<br> But it seemed that happened to me last night.
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<br><br> It validated my approach I used in my ESN I have written up on my 'ESN Motion Prediction' page.
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<br> The difference is, my context window of motion in that ESN,
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<br> Or even the learning-rate over time ESN in my ESRGAN Image Upresser project,
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<br> Is the source of a major "complexity" issue.
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<br> Or even the ESN I'm using for learning-rate & direction of training epochs in my 'ESRGAN Upresser' project,
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<br> This is a source of major "complexity" issues in AI in general.
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<br><br> My Motion Detector uses a shifting context window in order to learn what edges exist and should retain after the sliding context window, cyclically, slides over the same area of its brain,
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<br><br> My Motion Predictor uses a shifting context window in order to learn what edges exist and should retain after the sliding context window, cyclically, slides over the same area of its brain,
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<br> Over and over again.
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<br><br> If that's too cryptic,
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<br> There is a bunch of "frames" of data my ESN would fill in,
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<br> As motion moves from frame to frame,
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<br> The "context window" also moves frame by frame.
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<br> But if I have a window of 15 frames, after that 15th frame, it loops back to 0,1,2,3...
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<br> So it constantly re-writes prior frames of recorded motion,
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<br> Unless the motion found within the last frame to update the current frame...
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<br> Like, every 15 frames, it will rewrite the data from 15 frames prior,
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<br> Supports the found motion 15 frames later.
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<br> Then, motion is retained, edges start to form, and shapes beging to dictate movement on screen.
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<br><br> And just to say again, from my Terminology page, my ESN is not a fixed-reservoir, like ESNs usually are.
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<br><br> If that was too cryptic,
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<br> There is a bunch of "frames" of data my ESN fills in as it watches video,
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<br> As shapes move from frame to frame,
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<br> The "context window" also moves frame by frame.
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<br><br> Lets say I have a window of 15 frames, after that 15th frame, it loops back to 0,1,2,3...
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<br> All 15 frames are weighted against each other to find the current frames motion-edges, or the edges of movement.
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<br><br> So it constantly re-writes prior frames of recorded motion,
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<br> Unless continuous motion is found within the last 15 frames to update the current frame...
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<br><br> Like, every 15 frames, it will rewrite the data from 15 frames prior,
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<br> If current motion supports the found motion-edges 15 frames later,
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<br> Then, motion-edges are retained,
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<br> Edges start to strengthen,
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<br> And edge-shapes begin to dictate movement on screen.
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<br><br> And just to say,
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<br> From my AI Terminology page, my ESN is not a fixed-reservoir, like ESNs usually are.
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<br> It's a Dynamic reservoir, that reinforces prior found patterns prior to training on the reservoir's output.
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<br> The motion-edges I mentioned above are the results of the updating reservoir.
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<br> So that, the motion-edges are the "fixed" parts of the reservoir.
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<br><br> If consciousness only starts to take hold while the brain is producing Gama waves,
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<br> Yet the motion I saw in the bird's wings, in my minds eye,
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<br> Would be the result of Alpha and Theta waves, influenced by my Frontal Cortex to produce those "meaningless" hypnagogic hallucinations.
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<br> Are be the result of Alpha and Theta waves, influenced by my Frontal Cortex to produce those "meaningless" hypnagogic hallucinations.
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<br> That would mean there is a distinct line in behaviour between frquencies in sections of the brain.
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<br><br> This reveals a path between a few drastically different areas of my thinking process toward AI development.
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<br><br> I'd like to believe it further validates ideas I've been playing with Graph Neural Networks,
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<br> As I'm sure I've mentioned the Resonance between neurons in a graph network to spread signals, in prior posts.
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<br> As I'm sure I've mentioned in prior posts,
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<br> The Resonance between neurons in a graph network to spread signals.
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<br><br> That a single neuron vibrating at a certain frequency can harmonize with neurons not directly connected by edges.
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<br> The propagation of similarities throughout the local area network of a single neuron.
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<br><br> They say we are all 6 degrees from Kevin Bacon,
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<br> But in the years to come,
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<br> There will have to be a 7th, then 8th, then 9th degree of Kevin Bacon, once he stops being in movies.
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<br> And if the rule is, "we are all 6 degrees from Kevin Bacon",
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<br><br> If the rule is, "we are all 6 degrees from Kevin Bacon",
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<br> The 7th, 8th, 9th would not harmonize with the network of those initial 6.
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<br> The Graph Network gets too large,
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<br> Harmony is then lost.
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<br> Harmony is then lost.
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<br><br> This leads me to believe my idea of a tensor landscape affine-projection of the GNN,
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<br> Will allow for the harmonization of neurons across the entire network,
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<br> Even if some nodes are very far from each other,
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<br> Or even disconnected.
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<br><br> Sure, being sleep deprived enough to have two separate hypnagogic hallucinations be about the same red-winged blackbird can't be healthy for me,
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<br> But sometimes in our most sleep deprived states,
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<br><br> Sure,
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<br> Being so sleep deprived to have two separate hypnagogic hallucinations be about the same red-winged blackbird can't be healthy for me,
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<br><br> But sometimes in our most sleep deprived states,
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<br> The ridiculous becomes the answer we were looking for.
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<br><br><div class="textFullRight">- May 5th 2026</div>
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