>This is the first problem we wanted to address, how a small sensory array (e.g., the tip of a finger) can learn a predictive model of three dimensional objects by integrating sensation and movement-derived location information.
This doesn't follow from above but the idea of a pattern matching machine is certainly pretty great though I do see the parallels with FPGAs and how, even if the structure is the same, the function can be completely different and thus "understanding" the code running is a super hard problem and only in certain ways similar with all people.
This doesn't follow from above but the idea of a pattern matching machine is certainly pretty great though I do see the parallels with FPGAs and how, even if the structure is the same, the function can be completely different and thus "understanding" the code running is a super hard problem and only in certain ways similar with all people.