The Virtual brain or machine which can function like human brain, which would work even after death of the human is called the blue brain.
Under this topic the functionalities of the blue brain, its advantages and disadvantages, what actually a virtual brain is etc is being covered.
6. • To upload contents of the natural brain into
it.
• To keep the intelligence, knowledge and skill
of any person for ever.
• To remember things without any effort.
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9. • The research involves studying slices of living brain tissue
using microscopes and electrodes.
• Data is collected about all the many different neuron types.
This data is used to build biologically realistic models of
neurons and networks of neurons in the cerebral cortex.
• The simulations are carried out on a Blue Gene supercomputer
built by IBM. Hence the name "Blue Brain".
• As of August 2012 the largest simulations are of meso circuits
containing around 100 cortical columns.
• Such simulations involve approximately 1 million neurons and 1
billion synapses. This is about the same scale as that of a
honey bee brain.
13. Data acquisition involves taking brain
slices, placing them under a microscope,
and measuring the shape and electrical
activity of individual neurons.
This is how the different types of neuron
are studied and catalogued. The neurons
are typed by morphology.
15. The primary software used by the BBP for
neural simulations is a package called
NEURON.
This was developed starting in the 1990s
by Michael Hines at Yale University and
John Moore at Duke University.
It is written in C, C++, and FORTRAN.
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17. RT Neuron
RT Neuron is the primary application used by the
BBP for visualization of neural simulations.
The software was developed internally by the BBP
team. It is written in C++ and OpenGL.
RT Neuron is ad-hoc software written specifically for
neural simulations, i.e. it is not generalizable to other
types of simulation.
The animations can be stopped, started and zoomed,
thus letting researchers interact with the model.
The visualizations are multi-scale, that is they can
render individual neurons or a whole cortical
column.
18. Hardware & Software
Requirement
A Super Computer.
Memory with a large storing capacity.
Processor with a high Processing power.
A very wide network.
A program to convert electrical impulse from brain
to input signal.
Powerful Nanobots to act as an interface between
the natural brain and computer.
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20. GOAL
To Gain a complete
understanding
Of the brain and to
enable better and
faster development of
brain disease
treatments.
21. This Project will search for how
human beings will think and
remember.
Scientists think that it can
help to cure the Parkinson’s
Disease.
22. The project is funded primarily by EPFL, which
in turn is funded by the Swiss government.
EPFL is one of only two federally-funded
universities in Switzerland, the other being
ETH in Zurich.
IBM has not funded the project, but they sold
their Blue Gene supercomputer to EPFL at a
reduced cost.
This was because at the time the computer
was a prototype and IBM was interested in
testing the machine on different applications.
23. The Universidad Politécnica de Madrid (UPM)
and Instituto Cajal (IC) from Consejo Superior
de Investigaciones Científicas (CSIC) are
involved in the Blue Brain Project (BBP) with
an initiative named Cajal Blue Brain.
Different research groups and laboratories
from Spanish institutions take part in this
initiative, grouping together a large number of
scientist, engineers and practitioners.
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26. CONCLUSION
It is an attempt to create a synthetic brain
by using the concept of Reverse Engineering.
It is a good strategy of finding the disease
and treatments for it. This technology will be
soon accepted by the whole world. A virtual
model will be able to make direct observation
on the human brain.