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Brain Computer Interfaces (That Translate Human Thought To Direct Action): Their Evolution And Future

a graphic depicting two brains connected to each other. Two human outlines are shown facing each other. The connection between the two brains is shown via dots.

In the last few years, we have read quite a bit about how technology has allowed our brain to control devices or objects around us without the use of limbs. (If you haven’t, you can read about some examples here, here, and here). Futurism.com, a great website that posts about how human potential can be maximized, has this infographic that explains the basics of Brain Computer Interfaces – the use of technology to translate human thoughts into machine commands. We are seeing the use of BCI more and more with prosthetic limbs but where does it end? Will we able to upload our memories straight from our brain to the cloud in the future? Sky is the limit when it comes to innovation through technology. 

Read this infographic to know the types of Brain-Computer Interfaces, their origin, what they have in store for us in the future, and how they can bridge the gap between disabled and able-bodied. Text version of infographic is right below the image.

 

Imagine a world where machines can be controlled by thought alone. This is the promise of brain-computer interfaces (BCIs) – using computers to decode and translate human thoughts into machine commands. Here’s a look at the evolution of BCI technology, its current state, and future prospects.

Invasive: Signal-transmitting devices are implanted directly in the brain’s gray matter. This method produces the highest quality signals, but scar tissue build up can cause signal degradation.

Partially Invasive: Devices are implanted within the skull but not within the brain tissues. Produce higher quality signals than noninvasive techniques by circumventing the skull’s dampening effect on transmissions, and has less risk of scar tissue buildup.

Noninvasive: Involves simple wearables that register the EM transmissions of neurons, with no expensive or dangerous surgery needed. This technique is certainly easier, but suffers from poor resolution caused by the skull’s interference with signals.

A Short History of BCI

1924: German neuroscientist Hans Berger discovers neuroelectrical activity using electroencephalography (EEG).

1970: The Defense Advanced Research Projects Agency (DARPA) begins to explore the potential BCI applications of EEG technology.

1998: First brain implant produces high quality signals.

2005: A monkey’s brain is successfully used to control a robotic arm.

2014: Direct brain-to-brain communication achieved by transmitting EEG signals over the internet.

Types of Noninvasive BCI

Applications of BCI

Sources:

National Academy of Engineering, Techradar, Brain Vision UK, PLOS ONE

This infographic was originally posted on futurism.com.

 

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