Artificial brain

[1] Research investigating "artificial brains" and brain emulation plays three important roles in science: An example of the first objective is the project reported by Aston University in Birmingham, England[2] where researchers are using biological cells to create "neurospheres" (small clusters of neurons) in order to develop new treatments for diseases including Alzheimer's, motor neurone and Parkinson's disease.

[6] The project is based on the premise that it is possible to artificially link the neurons "in the computer" by placing thirty million synapses in their proper three-dimensional position.

In 2012, project Spaun (Semantic Pointer Architecture Unified Network) attempted to model multiple parts of the human brain through large-scale representations of neural connections that generate complex behaviors in addition to mapping.

The model, consisting of approximately 2.5 million neurons, includes features of the visual and motor cortices, GABAergic and dopaminergic connections, the ventral tegmental area (VTA), substantia nigra, and others.

The design allows for several functions in response to eight tasks, using visual inputs of typed or handwritten characters and outputs carried out by a mechanical arm.

[citation needed] Some critics of brain simulation[9] believe that it is simpler to create general intelligent action directly without imitating nature.

Estimates of how much processing power is needed to emulate a human brain at various levels (from Ray Kurzweil , and Anders Sandberg and Nick Bostrom ), along with the fastest supercomputer from TOP500 mapped by year