In this essay we will use mind as the term to designate the totality and manner in which our thoughts take place. We use the term brain to refer to the underlying mechanics, the substrate and the manner in which it supports the operations needed to carry out thoughts.

Whole brain emulation aims to re-implement functions of a mind in another computational substrate with the precision needed to predict the natural development of active states in as much as the influence of random processes allows. Furthermore, brain emulation does not present a possible model of a function, but rather presents the actual implementation of that function, based on the details of the circuitry of a specific brain. We introduce a notation for the representations of mind state, mind transition functions (...) and transition update functions, for which elements and their relations must be quantified in accordance with measurements in the biological substrate. To discover the limits of significance in terms of the temporal and spatial resolution of measurements, we point out the importance of brain region and task specific constraints, as well as the importance of in-vivo measurements. We summarize further problems that need to be addressed. (shrink)

Whole brain emulation aims to re-implement functions of a mind in another computational substrate with the precision needed to predict the natural development of active states in as much as the influence of random processes allows. Furthermore, brain emulation does not present a possible model of a function, but rather presents the actual implementation of that function, based on the details of the circuitry of a specific brain. We introduce a notation for the representations of mind state, mind transition functions (...) and transition update functions, for which elements and their relations must be quantified in accordance with measurements in the biological substrate. To discover the limits of significance in terms of the temporal and spatial resolution of measurements, we point out the importance of brain region and task specific constraints, as well as the importance of in-vivo measurements. We summarize further problems that need to be addressed. (shrink)

The aim here is to implement intelligence in an engineered processing substrate – a machine mind, as it were. This solution is clearly related to work in artificial intelligence (AI) and shares many of its analytical requirements and synthesis goals, but the objective is unambiguously to make individual human minds independent of a single substrate. Brain–machine interfaces require adaptations for communication to be possible, emphasizing either the machine or the brain. Brain emulation on general‐purpose computers is convenient, because model functions (...) can be modified easily. Ultimately, a mature emulation demands a suitable computing substrate. Theoretical debates occasionally focus on the question of determinism and computation in the Von Neumann sense. ARPANET (the Advanced Research Projects Agency Network) useful for university projects and for the military, but it was not immediately obvious what sort of civilian applications would thrive on such a computer network. (shrink)

Randal A. Koene, Int. J. Mach. Conscious., 06, 41 (2014). DOI: 10.1142/S179384301440006X.