1(3), (2022): 36-41 DOI: https://doi.org/10.46632/jdaai/1/3/5
Nakka Manasa, Mandadi Nishita, Volluru Akshitha, Chapala Mayukha, B. Raveendranadh Singh.
Technology is helping us go back to our roots in order to address two big problems that humans are currently facing: the volume of data and the speed of data processing. Today’s rate of data production takes 10-20 minutes compared to the past few decades. A decade from now, it will be produced in 5-8 seconds, an undeniable fact no matter what technology we use. The importance of this relates to the fact that everything is becoming digital across the globe. This requires the development of brain chip interfaces which will improve the brain’s cognitive capacities. These interfaces can also be used for medical problems, such as for patients with neurological conditions including paralysis, stroke, or epilepsy. To assist those who lost control of their limbs or other physiological functions, a device was created. An implanted computer chip in the patient’s brain tracks all brain activity and translates user intentions into computer commands.
W.L. Rutten, Annu. Rev. Biomed.eng. 4 (2002) 407–452.
Fromherz, Neuroelectronic Interfacing: Semiconductor chips with Ion Channels, Nerve cells, and Brain, inR. Waser (Ed.)
Nanoelectronics and Information Technology, Wiley-VCH, Berlin, 2003, pp. 781– 810.
K.D. Wise, D.J. Anderson, J.F. Hetke, D.R. Kipke, K. Najafi, Proc. IEEE (2004) 76–97.
M.A. Lebedev, M.A.L. Nicolelis, Trends Neurosci. (2007) 537– 546.
L.R. Hochberg, et al., Nature 42 (2006) 256–270.
S.M. Potter, D.A. Wagenaar, T. DeMarse, Closing the loop: stimulation feedback systems for embodied MEA cultures, in: M. Taketani, M.
Baudry (Eds.), Advances in Network Electrophysiology Using Multi-Electrodes-Arrays, Springer, 2005.
Vassanelli, P. Fromherz, Appl. Phys. A 66 (1998) 459–463.
Hai, J. Shappir, E. Spira, J. Neurophysiol. 104 (2010) 559– 568.
Lambacher, et al., Appl. Phys. A 79 (2004) 1607–1611.
William D. Penny, Stephen J. Roberts, “EEG-based communication: A pattern recognition approach,” IEEE Trans. Rehab. Eng., vol. 8, pp. 214–215, June 2000.
Jonathan. R. Wolpaw, “Brain-computer interface technology: A review of the first international meeting,” IEEE Trans. on Rehab. Eng 2000; 8:164–173.
KeshviChauhan, “Implementation of Brain-Computer Interface,” International Journal of Engineering Research and Applications (IJERA) Vol. 1, Issue 3, pp.807-812
Luca Citi, “Defining brain-machine interface application by matching interface performance with device requirements” Journal of Neuroscience Methods,167 (2008) 91–104.
Nakka Manasa, Mandadi Nishita, Volluru Akshitha, Chapala Mayukha, B. Raveendranadh Singh, ” Brain Chips – A Novel Vision”, REST Journal on Data Analytics and Artificial Intelligence, 1(3), (2022): 36-41.