Neural interfacing


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Neural interfacing

  1. 1. Neural Interfacing
  2. 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. 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. 4. HistoryMonkey operating arobotic arm withbrain–computerinterfacing (Schwartzlab, University ofPittsburgh).
  5. 5. Diagram of the BCI developed by MiguelNicolelis and colleagues for useon Rhesus Monkeys.
  6. 6. BCI ’s recent successes.
  7. 7. The Brain as a ComputerChemical Entity Electrical Entity
  8. 8. Types of Interfacing DevicesInvasive Non Invasive
  9. 9. Invasive BCI
  10. 10. Proper working of invasive BCI
  11. 11. Non Invasive BCI Devices  J
  12. 12. EEG MEG
  13. 13.  Non invasive BCI Operating Environment
  14. 14. Non Invasive BCIEEG
  15. 15. NIS Methods P300 Detection EEG mu Rhythm conditioning VEP Detection
  16. 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 persons 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. 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. 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. 19. 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.
  20. 20. BCI Training
  21. 21. BCI vs. Neuroprosthetics Nueroprosthetic control process
  22. 22. BCI control process .Brain Computer Interfaces are considered to be a direct signal conduit between the brain and an external computing device.
  23. 23. Applications of BCI Medicine Military Manufacturing Gaming Communication Social Potential
  24. 24. Prime use of neural interface Medical application:Robotic Prosthesis External Memory
  25. 25.  Math games, spelling games, typinggames, and geography games were all vitalparts of my education. Therefore the use ofvirtual reality for gaming and education is amajor potential for BCI.At this point, it becomes necessary tointroduce the concept of the ‘humannetwork’. Instantaneous communicationsmixed with BCI could mean a completechange in social behavior.
  26. 26. GamingApplication
  27. 27. TreatingDisorders
  28. 28. Future:SiliconCognition
  29. 29. 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.
  30. 30. 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.