The New Species (Project Progress)

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Korrelan

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Re: The New Species (Project Progress)
« Reply #15 on: May 22, 2020, 02:03:32 PM »
If you reverse engineer the human ocular system (ignoring focal distance and depth of field, etc) this is an approximate procedural/ algorithmic representation of the (colour) retinal schema projected onto V1.

Multiple interpolated (receptive field ranges) resolutions are recognised at the same time through a polar centric schema, a low resolution periphery graded to a high resolution fovea. So for any high resolution information there is also a low resolution spatial element of the surrounding overall area/ scene. The schema of the retina provides a top down influence for free, so… if the rough outline is cat shaped and fovea detects feline’s eyes… it’s probably a cat.

The small image (bottom left of left window) represents the whole of the circular/ retina, spatially arranged into a Cartesian format which is roughly analogous to the V1 spatial map. Rotational invariance simply moves the overall image detail left or right, scale invariance moves the image detail up/ down.

Eye movements and saccades are learned/ made relative to this polar map, so for any unrecognised object/ patch in the periphery the fovea can instantly traverse to focus on that region.

For textures or repeating patterns like fur, the center high res fovea recognises the texture, and all other joined/ un-bordered retinal locations with the same/ similar colour/ contrast attributes are assumed to be the same material, show by the colour fill.

https://youtu.be/m6Pw7qugpKE

If this retinal modality/ output is then translated into neural code, even foetal models can instantly recognise simple objects after one exposure.

https://youtu.be/uZYO6lCPQYs

The extra spikes for some objects on the pattern lock are caused by extreme similarities.  The system has noticed (from its point of view, not ours) similarities in composition, colour, etc.  Prior to being shown these objects the system had learned to ‘see’ from scratch, it learned to differentiate and categorise the visual sensory stream, its then able to recognise new objects from memory.  The spikes are an accumulation of episodic memories firing that encode/ remember the salient qualities of each object.



 :)
« Last Edit: May 22, 2020, 04:42:34 PM by Korrelan »
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