A brain-computer interface (BCI), sometimes called a neural-control interface (NCI), mind-machine interface (MMI), direct neural interface (DNI), or brain-machine interface (BMI), is a direct communication pathway between an enhanced or wired brain and an external device. BCI differs from neuromodulation in that it allows for bidirectional information flow. BCIs are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory-motor functions.[1] Research on BCIs began in the 1970s at the University of California, Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA.[2][3] The papers published after this research also mark the first appearance of the expression brain–computer interface in scientific literature. Due to the cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector channels.[4] Following years of animal experimentation, the first neuroprosthetic devices implanted in humans appeared in the mid-1990s.

1. Presented
By
S. Venkata Sreeram

2.  Introduction
 History
 BCI working
 Types of signals.
 Types of BCI
 Early work
 Algorithm
 Implementation
 Advantages
 Disadvantages
 Conclusion

4.  Research started from 1970
 BCI project by jacques vidal
 Implementing simple BCI sensors with in rats, mice,
monkeys and humans.
 In 1990 implanting an electrode in motor cortex of a
paralyzed patient

15.  Allow paralyzed people to control prosthetic
limbs with their mind
 Transmit visual images to mind of blind
person
 Transmit auditory data to mind of deaf
person.
 Allow gamers to control video games with
their mind

16.  The brain is incredibly complex.
 Signal is weak and prone to interference.
 The equipment is less then the portable.

17.  Enables people to communicate and control
appliances with use of brain signals.
 Open gates for disabled people.
 Numerous future applications.