Here we introduce an experiment TO BE DONE by those who are interested .
We predict that, in an environment with concentration gradient of glucose, the brain will LEARN to drive a ‘vehicle’ by FORMING FUNCTIONAL NETWORKS AROUND the ECoG ELECTRODE arrays, MAKING ATTEMPTS, GETTING FEEDBACK (nearby concentration change), ADJUSTING it's NEURAL CONNECTIVITY around the electrode arrays, to get more glucose.
We can use a brain from an embryo or an artificial one formed by stem cells. We culture it in a long tank with a concentration gradient of glucose.
We connect the brain with a cart, by inserting two electrode arrays in the brain, one for detecting the concentration of glucose in the nearby environment of the brain, and another one for movement control signal output.
Concentration detect will be done by a concentration detect device we apply, and the movement control signal will be used to control a little cart ,which will be the 'leg' of the brain, outside the tank, connected with the brain by magnets. The cart are restrained in a one dimensional trail, which means, it can only move forward or backward .
The whole system forms a feedback loop, by which the brain can LEARN to use the cart to carry itself, by FORMING functional networks AROUND the electrode arrays, to get more glucose.
We suppose the brain will generate functional network around the electrodes arrays by changing the neural connectivity of the nearby area. And we suppose that the brain tends to move where there's more glucose.
And finally we predict that, in an environment with concentration gradient of glucose, the brain will LEARN to drive the cart by FORMING FUNCTIONAL NETWORKS AROUND the ELECTRODE arrays, MAKING ATTEMPTS, GETTING FEEDBACK (nearby concentration change), ADJUSTING it's NEURAL CONNECTIVITY around the electrode arrays, to get more glucose.
The details are depicted in the picture below, with a scheme of the experiment
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