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Neural Interfacing
Introduction




. Research to develop systems that can help restore
   sensory function, communication, and control to
   impaired humans is coalescing into a new branch
   of experimental neuroscience, variously named
   brain-machine interfaces (BMIs), brain-computer
   interfaces (BCIs), neural prostheses, or neural
   interface systems (NISs).
 The ultimate goal of neural interface research is to
  create links between the nervous system and the
  outside world either by stimulating or by
  recording from neural tissue to treat or assist
  people with sensory, motor, or other disabilities of
  neural function
 We address the potential for neural interface
  research to enhance basic scientific understanding
  of brain function by offering unique insights in
  neural coding and representation, plasticity, brain-
  behavior relations, and the neurobiology of
  disease
 Finally, we discuss technical and scientific
  challenges faced by these systems before they are
  widely adopted by severely motor-disabled
  patients.
History
Monkey operating a
robotic arm with
brain–computer
interfacing (Schwartz
lab, University of
Pittsburgh).
Diagram of the BCI developed by Miguel
Nicolelis and colleagues for use
on Rhesus Monkeys.
BCI ’s recent successes.
The Brain as a Computer
Chemical Entity   Electrical Entity
Types of Interfacing Devices
Invasive




              Non Invasive
Invasive BCI
Proper working of invasive BCI
Non Invasive BCI Devices


                J
EEG   MEG
 Non invasive BCI
 Operating Environment
Non Invasive BCI
EEG
NIS Methods
 P300 Detection
 EEG mu Rhythm conditioning
 VEP Detection
P300


 The P300 (P3) wave is an event related
  potential (ERP) component elicited in the
  process of decision making.
 It is considered to be an endogenous
  potential, as its occurrence links not to the
  physical attributes of a stimulus, but to a
  person's reaction to it.
 Since the mid 1980s, one of the most
  discussed uses of ERPs such as the P300 is
  related to lie detection.
EEG mu rhythm
 The EEG mu rhythm is believed to reflect an
  underlying execution/observation matching
  system.
 These findings suggest that there is
  execution/observation matching system
  dysfunction in individuals with autism and
  that this matching system is related to
  degree of impairment in imitation abilities.
VEP Detection
 A visual evoked potential is an evoked
  potential caused by a visual stimulus, such
  as an alternating checkerboard pattern on
  a computer screen.
 A doctor may recommend that you go for
  a VEP test when you are
  experiencing changes in your vision that can
  be due to problems along the pathways of
  certain nerves.
Training BCI Devices
 While ones first impression of a BCI device may
  be a surgical implant, or a wireless headset that
  immediately allows a human to control
  whatever device it is connected to,
  unfortunately this isn’t the case. One important
  issue of BCI devices is the training requirement.
 For motor or sensory enhancement, these
  devices require months of physical therapy
  before they become effective. Before data
  transfer techniques can be used, the subject
  must be trained on how to ‘think’ in order to
  control their devices.
BCI Training
BCI vs. Neuroprosthetics


   Nueroprosthetic
   control process
BCI control process

                .Brain Computer
                Interfaces are
                considered to be
                a direct signal
                conduit between
                the brain and an
                external
                computing
                device.
Applications of BCI
 Medicine
 Military
 Manufacturing
 Gaming
 Communication
 Social Potential
Prime use of neural interface
 Medical application:




Robotic Prosthesis   External Memory
 Math games, spelling games, typing
games, and geography games were all vital
parts of my education. Therefore the use of
virtual reality for gaming and education is a
major potential for BCI.
At this point, it becomes necessary to
introduce the concept of the ‘human
network’. Instantaneous communications
mixed with BCI could mean a complete
change in social behavior.
Gaming
Application
Treating
Disorders
Future:
Silicon
Cognition
Ethical Considerations for
 NISs
 The potential for BCI connections to violate
  privacy- allowing an intruder to ‘read your
  thoughts’.
 Harmful effects of BCI implements to the
  brain.
 Having one’s external memories stolen
  (from an external memory device).
 Corporate memory (from an external
  memory device) overriding personal
  memory.
Conclusion
 Certainly the applications for BCI devices
  discussed in this paper are long reaching, and BCI
  devices are not currently powerful enough to
  perform the tasks mentioned above.
 But the possibility of ‘thought control’ machines
  would eliminate a bottleneck in data processing
  and computer interaction including
  communications that would improve not just the
  environment but people themselves.

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Neural interfacing

  • 2. Introduction . Research to develop systems that can help restore sensory function, communication, and control to impaired humans is coalescing into a new branch of experimental neuroscience, variously named brain-machine interfaces (BMIs), brain-computer interfaces (BCIs), neural prostheses, or neural interface systems (NISs).
  • 3.  The ultimate goal of neural interface research is to create links between the nervous system and the outside world either by stimulating or by recording from neural tissue to treat or assist people with sensory, motor, or other disabilities of neural function  We address the potential for neural interface research to enhance basic scientific understanding of brain function by offering unique insights in neural coding and representation, plasticity, brain- behavior relations, and the neurobiology of disease  Finally, we discuss technical and scientific challenges faced by these systems before they are widely adopted by severely motor-disabled patients.
  • 4. History Monkey operating a robotic arm with brain–computer interfacing (Schwartz lab, University of Pittsburgh).
  • 5. Diagram of the BCI developed by Miguel Nicolelis and colleagues for use on Rhesus Monkeys.
  • 6. BCI ’s recent successes.
  • 7. The Brain as a Computer Chemical Entity Electrical Entity
  • 8. Types of Interfacing Devices Invasive Non Invasive
  • 10. Proper working of invasive BCI
  • 11. Non Invasive BCI Devices  J
  • 12. EEG MEG
  • 13.  Non invasive BCI Operating Environment
  • 15. NIS Methods  P300 Detection  EEG mu Rhythm conditioning  VEP Detection
  • 16. P300  The P300 (P3) wave is an event related potential (ERP) component elicited in the process of decision making.  It is considered to be an endogenous potential, as its occurrence links not to the physical attributes of a stimulus, but to a person's reaction to it.  Since the mid 1980s, one of the most discussed uses of ERPs such as the P300 is related to lie detection.
  • 17. EEG mu rhythm  The EEG mu rhythm is believed to reflect an underlying execution/observation matching system.  These findings suggest that there is execution/observation matching system dysfunction in individuals with autism and that this matching system is related to degree of impairment in imitation abilities.
  • 18. VEP Detection  A visual evoked potential is an evoked potential caused by a visual stimulus, such as an alternating checkerboard pattern on a computer screen.  A doctor may recommend that you go for a VEP test when you are experiencing changes in your vision that can be due to problems along the pathways of certain nerves.
  • 19.
  • 20. Training BCI Devices  While ones first impression of a BCI device may be a surgical implant, or a wireless headset that immediately allows a human to control whatever device it is connected to, unfortunately this isn’t the case. One important issue of BCI devices is the training requirement.  For motor or sensory enhancement, these devices require months of physical therapy before they become effective. Before data transfer techniques can be used, the subject must be trained on how to ‘think’ in order to control their devices.
  • 22. BCI vs. Neuroprosthetics Nueroprosthetic control process
  • 23. BCI control process .Brain Computer Interfaces are considered to be a direct signal conduit between the brain and an external computing device.
  • 24. Applications of BCI  Medicine  Military  Manufacturing  Gaming  Communication  Social Potential
  • 25. Prime use of neural interface Medical application: Robotic Prosthesis External Memory
  • 26.  Math games, spelling games, typing games, and geography games were all vital parts of my education. Therefore the use of virtual reality for gaming and education is a major potential for BCI. At this point, it becomes necessary to introduce the concept of the ‘human network’. Instantaneous communications mixed with BCI could mean a complete change in social behavior.
  • 30. Ethical Considerations for NISs  The potential for BCI connections to violate privacy- allowing an intruder to ‘read your thoughts’.  Harmful effects of BCI implements to the brain.  Having one’s external memories stolen (from an external memory device).  Corporate memory (from an external memory device) overriding personal memory.
  • 31. Conclusion  Certainly the applications for BCI devices discussed in this paper are long reaching, and BCI devices are not currently powerful enough to perform the tasks mentioned above.  But the possibility of ‘thought control’ machines would eliminate a bottleneck in data processing and computer interaction including communications that would improve not just the environment but people themselves.