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The world’s first virtual brain is a machine that can function like a human brain, most adequately known as Blue Brain. It is associated with many years of research advocating to create an artificial brain that can think, respond, make decisions, and store information. The main aim is to upload the human brain into a machine.(1)
In an attempt to reverse engineer the human brain and recreate it at the cellular level inside a computer simulation, in 2005, Henry Markram, a Swiss professor of neuroscience, founded The Blue Brain Project.(1) The supercomputer-based simulations and reconstructions built in this project offer a radically new approach to understanding the multi-level structure and function of the brain.(4)Even after the death of a person, there will be no loss of that person’s knowledge, intelligence, personality, feelings, and memories, which could be used for the development of human society. In an estimated 30 years, humans will be able to turn themselves into computers.(1)
In 2006, Dr. Markram crackled to life Blue Brain, a tangled web of nearly 10,000 virtual neurons. Millions of signals and electrical activity resembling real brain waves emerged.(2) “I argue that the time is right to begin assimilating the wealth of data that has been accumulated over the past century and start building biologically accurate models of the brain from first principles to aid our understanding of brain function and dysfunction…”.(3)
Data organization through acquisition from neuroscience experiments is the first step in the Blue Brain workflow. There is a collection of data describing the brain’s structural and functional organization at various levels, from synapses and subcellular components to individual neurons, to circuits and entire brain regions. With the employment of algorithmic procedures, the next step is to extract the maximal possible information from this data and build detailed, dense models from sparse data sets.(4)
Data organization through acquisition from neuroscience experiments is the first step in the Blue Brain workflow. There is a collection of data describing the brain’s structural and functional organization at various levels, from synapses and subcellular components to individual neurons, to circuits and entire brain regions. With the employment of algorithmic procedures, the next step is to extract the maximal possible information from this data and build detailed, dense models from sparse data sets.(4)
How is all of this possible? Nanobots are the most promising solution. These tiny robots are small enough to move throughout our circulatory systems. Traveling into the spine and brain will enable monitoring of the activity and structure of the human’s central nervous system and provide an interface with computers. Nanobots could also create detailed scans of brain structures, mapping the connections between each neuron. Data is collected on the different neuron types and used to build biologically realistic models of neurons and networks of neurons in the cerebral cortex. The current state of the brain would also be recorded. When entered into a computer, this information could continue functioning in the place of the biological human. The main goal is to further our knowledge of the brain and to enable the development of brain disease treatments.(1)
How is all of this possible? Nanobots are the most promising solution. These tiny robots are small enough to move throughout our circulatory systems. Traveling into the spine and brain will enable monitoring of the activity and structure of the human’s central nervous system and provide an interface with computers. Nanobots could also create detailed scans of brain structures, mapping the connections between each neuron. Data is collected on the different neuron types and used to build biologically realistic models of neurons and networks of neurons in the cerebral cortex.(1)
The current state of the brain would also be recorded. When entered into a computer, this information could continue functioning in the place of the biological human. The main goal is to further our knowledge of the brain and to enable the development of brain disease treatments.(1)
References