What happens in layers 5a and 6a?

[OS_C]

@abshej

The neocortex or the brain or whatever it is you are trying to reduce is nothing but memory database linked to some circuitry. Memory collected from noise using certain core algorithms that somehow helps in survival of the body.

I think there are spatial pattern detection layers and temporal pattern or sequence detection layers(that collect the temporal sequences of said spatial pattern layers). There is a spatiotemporal pattern conversion converting sequences of patterns into static spatial signals and the conversion of static spatial signals(from the temporal or sequence detection layers) into a sequences, and these sequences in turn trigger further sequences.

I think the system can handle and work with such simplicity in part due to the phenomena of postdiction, we feel we predicted certain things, but the actual conscious sensation of the present is constructive and done in a postdictive manner.

Regards hebbian learning, metaplasticity, stdp, I think the existence of a portion of long range connections allows the smaller simpler lower dimensional patterns from different sensory organs to act in a self reinforcement loop positively selecting those patterns that are part of a larger sparse spatiotemporal pattern throughout the multilevel structure, a higher dimensional model of an external object or causal actor. This internal evolutionary competitive force causes an extremely rapid convergence towards association of patterns to their true fundamental predictive causes.

[abshej]

@rhyolight

but that is exactly what we are looking for

I said that with reference to @Bitking’s comment in the sense that there is not strict set of rules that has to be followed in order to produce intelligence. It’s ultimately the memory that produces intelligent outcome.

@OS_C

I think there are spatial pattern detection layers and temporal pattern or sequence detection layers(that collect the temporal sequences of said spatial pattern layers). There is a spatiotemporal pattern conversion converting sequences of patterns into static spatial signals and the conversion of static spatial signals(from the temporal or sequence detection layers) into a sequences, and these sequences in turn trigger further sequences.

This spatiotemporal noise reduction system, for the lack of better terminology, is a part of the set of core algorithms(mechanisms) that our bodies happen to use to act intelligently. But the model complexity and basis of functioning of this mechanism has the potential to vary.

@OS_C

I think the system can handle and work with such simplicity in part due to the phenomena of postdiction, we feel we predicted certain things, but the actual conscious sensation of the present is constructive and done in a postdictive manner.

Interesting but it is difficult to claim it as postdiction when the prediction is always happening. You can’t really separate stimulus and response from one another. It’s a single movement. That depends on the framework and point of reference, I suppose.

[OS_C]

@abshej

Interesting but it is difficult to claim it as postdiction when the prediction is always happening. You can’t really separate stimulus and response from one another. It’s a single movement. That depends on the framework and point of reference, I suppose.

I think there is some level of prediction, but when prediction fails postdiction is there to compensate.

I think the color phi phenomenon, where a color is reported by the subjects to have been seen in a transition prior to it actually having been shown, by the experimenter to the subjects, supports this view.

[abshej]

There is also the phenomenon of prediction biasing or priming which essentially always takes place to some extent on some level.