Transcript What can we learn from Blue Brain

Seminar Report
on
Introduction
Human brain is the most valuable creation of God.
The man is called intelligent because of the brain only
But we loss the knowledge of a brain after the death
of man which may be useful for society.
Blue Brain
The name of the world’s first virtual brain is Blue brain
Which means a machine that can function as human brain

Today scientists are in research
to create an artificial brain that
can think, response, take decision,
and keep anything in memory.
Their aim is to upload human brain into machine
What is Virtual Brain
Virtual brain is an artificial brain, but can act as the
natural brain.
 It can think like brain, take decisions based on the past
experience and respond as the natural brain.
data
SuperComputer
Why we need Virtual Brain
Today humans are developed because of their
intelligence
For eg: Scientists like Newton , Charles Babbage
have great Knowledge.
But their knowledge was lost after their death.
The solution for this is Virtual Brain.
We can upload ourselves into computer as a
program
How it is possible
 The most promising is the use of nanorobots which
will able to travel throughout our circulatory systems
Nanobots could also carefully
scan the structure of our brain,
providing a complete readout of
the connections between each
neuron.
This Information would send
to the computer
Brain Simulation
Natural brain
Simulated brain
 Input
 Input
These sensory cells produces electric
impulses which are received by the
neurons. The neurons transfer these
electric impulses to the brain.
 Integration
Interpretation in the brain is
accomplished by the means of
certainstates of many neurons
The electric impulses from the
sensory cells can be received
through the artificial neurons and
send to a super computer for the
interpretation
 Integration
The different values in these register
will represent different states of the
brain
Brain Simulation
Output
Output
 Based on the states of the neurons
the brain sends the electric impulses
representing the responses
 Similarly based on the states of the
Memory
Output
 To remember thing we force the
neurons to represent certain state of
the brain permanently
• The required states of the registers
can be stored permanently for
register the output signal can be
given to the artificial neurons
further usage
Brain Simulation
Processing
Processing
 The past experience stored and the
current input received are used and
the states of certain neurons are
changed to give the output
 The decision making can be done by
the computer by using some stored
states and the received input & by
performing some arithmetic and
logical calculations.
.Working Of Natural Brain
 The brain essentially serves as the body’s information
processing centre
It consists of three major divisions;
1. The massive paired hemispheres of the cerebrum
2. The brainstem, consisting of the thalamus,
hypothalamus , epithalamus , subthalamus , midbrain, pons ,
and medulla oblongata
3. The cerebellum.
Sensory Input
Integration
Motor Output
Medial view of the left hemisphere of human brain
Hardware and Software Requirements
A super computer.
 Memory with a very large storing capacity.
 Processor with a very high processing power.
 A very wide network.

 A program to convert the electric impulses from the
brain to input signal, which is to be received by the
computer and vice versa.
Very powerful Nanobots to act as the interface between
the natural brain and the computer
What can we learn from Blue Brain
 Defining functions of the basic elements
 Understanding complexity
 Exploring the role of dendrites
 Revealing functional diversity
 Tracking the emergence of intelligence
 Identifying points of vulnerability
 Simulating disease and developing treatments
 Providing a circuit design platform
Applications Of Blue Brain
Gathering and Testing 100 Years of Data
Cracking the Neural Code
Understanding Neocortical Information Processing
A Novel Tool for Drug Discovery for Brain Disorders
A Global Facility
AFoundation for Whole Brain Simulations
A Foundation for Molecular Modeling of Brain Function
Advantages
We can remember things without any effort.
Decision can be made without the presence of a person.
Even after the death of a man his intelligence can be used.
The activity of different animals can be understood
It would allow the deaf to hear via direct nerve stimulation
Limitations
We become dependent upon the computer systems.
Others may use technical knowledge against us.
Computer viruses will pose an increasingly critical threat.
The real threat, however, is the fear that people will have
of new technologies.
Clear evidence of this type of fear is found today with
respect to human cloning.
Future Perspective
 It is essential to guide reductionist research into the deeper facets
of brain structure and functioning
A model of the entire brain at the cellular level will probably take
the next decade
Conclusion
In conclusion, we will be able to transfer ourselves
into computers at some point. Most arguments against this
outcome are seemingly easy to circumvent. They are either
simple minded, or simply require further time for
technology to increase. The only serious threats raised are
also overcome as we note the combination of biological and
digital technologies.
Thank You…