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Since the normal input to the brain is from sense organs, it is natural to suppose that most advocates of the Brain Simulator Reply have in mind such a combination of brain simulation, Robot, and Systems Reply.
Without them, the brain simulation will be built from the bottom up, drawing on more fundamental science, such as studies of individual neurons.
Markram is now busily recruiting PhDs with the aim of having his neuroinformatics and brain simulation platforms up and running within 30 months.
Brain simulation projects underway today model only a small fraction of what neurons do and lack the detail to fully simulate what occurs in a brain.
Markram's response to this is that he has never said his brain simulation is a replacement for animal experimentation; the point is to use the simulation to suggest lines of research that are likely to be most profitable.
Markram also envisages connecting his brain simulation to a robot equipped with sensors and simultaneously recording what the robot is seeing and hearing as it explores a physical environment.
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Rapid advances in neuroscience and computing draw increasing attention to large-scale brain simulations.
The HBP is building tools, available for all researchers, for building brain simulations.
The large-scale brain simulations we consider in depth here include those by Markram, Modha, Boahen, Horwitz, Edelman, Izhikevich, and Just.
This article constitutes the first half of a two-part world survey of artificial brain projects: this part dealing with large-scale brain simulations, and the second part with biologically inspired cognitive architectures (BICAs).
Given the state of the art in BICA, it is not yet possible to tell whether emulating the brain on the architectural level is going to be enough to allow rough emulation of brain function; and given the state of the art in neuroscience, it is not yet possible to connect BICAs with large-scale brain simulations in a thoroughgoing way.
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