neurons activated will synapse with the neuron activated just before it so the visuals of a person and the background would be considered as one single concept in the beginning when the person gives the AI pleasure, the whole visual being a neuron.

then when the person is in a different background and still gives pleasure, the AI will learn to put more value to the pixels representing the person since the person is in both pleasurable visuals.

then when the AI sees only the background and gets no pleasure, the pixels representing the background loses value due to irrelevance thus the neuron for the person forms.

also the neurons activated will be stored sequencially as working memory, so the AI know what neurons had been activated and at what sequence (rechecking the list, starting from the most recent or starting from important milestones, also adds to the working memory so the AI will know it had recalled the past).

so AGI should only need neurons synapsing with the neuron activating immediately before it (with the more increase in pleasure or fear, the stronger the synapse), a lot of sensor types (not just text but also visuals, sounds, temperature, size, shape, texture, etc..., since it is the unique combinations of sensations that differences one similar concept to another, else they would be identical and prevent learning), a list of neurons activated according to sequence and something that gives it pleasure and something that gives it fear so it will have something to aim for, else it cannot be AGI.