Mind reading is a scientific counterpart, thought identification, and a real thing. It’s based on neuroimaging and machine learning. Mind reading isn’t just about spying on what someone is thinking. They’re about figuring out what thoughts are even made of. Something is enticing about getting to the next level of what some people might call a human evolution or civilization development, and so on. We are already very futuristic cyborgs if we compared ourselves to the human living 10,000 years ago. To understand cognition, we have to ask people to talk about their thinking or observe their behavior.
Researchers using MRI imaging have gone from studying people’s brains to identifying specific thoughts and brainwaves. Some revolutionary scientific evidence suggests humans do have psychic powers. Telepathy is mind-reading precognition and the future clairvoyance. People think they have the winning lottery ticket. The scientific interest in these abilities is known as parapsychology. And it is widely ridiculed by conventional science due to the absence of evidence. Dr. Darroll published a paper appearing to prove precognition is a real thing. And this was not some piece of pseudoscience.
Is mind reading possible?
Scientists use neuroimaging methods to do a lot of work using functional magnetic resonance imaging, or fMRI. And how do they use fMRI to investigate memories? They are looking at the pattern of neural activity. When you form a memory, there’s a specific pattern. Scientists can record that pattern and then test whether that pattern is reinstated or reactivated later. Decoding takes your input pattern as some pattern of activity that they record while you remember something. And they predict what you’re remembering.
An fMRI monitors the activity within the brain by dividing it up into thousands of tiny cubes called voxels or volumetric pixels. Each of these voxels contains hundreds of thousands of neurons. Using fMRI, we can detect blood flow within these voxels. It means that part of the brain is active. There will be a common area of the brain that is engaged throughout.
Dr. Brice Kuhl’s memory research shows that a computer can read someone’s mind. To figure out what they’re thinking. But a lot of progress still needs to be made. Dr. Kamitani’s work on dream decoding begins with a similar process to Dr. Kuhl’s. Showing the test subject thousands of images while in an fMRI to learn what the brain looks like when thinking of certain things.
Once the machine-learning algorithm is pretty good at identifying what images the subject is thinking about, the issue is placed in an fMRI with an EEG cap on their head and invited to fall asleep. When the EEG waves indicate that the person is dreaming, the algorithm predicts which kinds of things the subject is most likely dreaming about. Thinks are like buildings, transportation, and characters in a language.
The experiment of mind reading
Researchers at the University of California have created a machine able to translate thoughts into text. The intended goal is to help those who are unable to speak. Also, The device could reveal unwanted thoughts or untold truths. Researchers say this mind-reading machine has an accuracy rate of 90% or more, almost always perfectly translating thoughts into text.
Instantly this machine works by registering and analyzing the combination of vowels and consonants. And then, it translates these sentences based on neural signals into text in real-time. According to scientists, the machine can even use words it’s never heard of before! The machine wasn’t just created to show how technology is evolving, but researchers hope one day this machine can help patients who suffer from conditions that stop them from speaking or moving.
In 2009, Researchers at UC Berkeley showed rhesus monkeys with electrodes implanted in their brains could use their thoughts to control a computer cursor. Most importantly, the study showed the monkey’s brains developed a motor memory for the device. It is similar to the brain learning how to do something with the physical body. Of course, moving a cursor on a screen doesn’t sound like a significant achievement, but the implications of this research were far-reaching for what are known brain-machine interfaces.
Its possible humans will perform physical actions outside of their bodies using nothing more than their minds. In 2013, researchers were able to use the force of one human’s brain to control the physical actions of another. One researcher at the University of Washington Institute for Learning and Brain Sciences was fitted with electroencephalography, or EEG cap, which records brain activity.
In 2019, Facebook announced it is developing tech that can read user mind. The brain-machine interface will be designed to pick up thoughts directly from neurons and translate them into words. Initially, this is intended to be a tool for patients with paralysis. The end goal is to create a device that will allow you to control all technology using nothing but your mind.
Elon Musk’s company, Neuralink, has also revealed technology that interprets Ford’s after sewing Freds much thinner than a hair into the brain. The system can read neuronal signals and translate them into actions such as your smartphone or a driverless car. Of course, giving billionaires and corporations access to your mind raises all sorts of complicated ethical questions.
How neuralink technology work?
Elon Musk’s start-up neuro-link aims to ultimately achieve an entire brain-machine interface where people can achieve a symbiosis with AI and humans. It has developed a system to feed thousands of electrical probes into a brain and hopes to start testing on humans.
The neurons of your brain connect to form an extensive network through axon dendrite junctions called synapses. At these connection points, neurons communicate with each other using chemical signals called neurotransmitters. Neurotransmitters are released from the end of an axon in response to an electrical spike called an action potential.
When a cell receives enough of the right kind of neurotransmitter input, a chain reaction is triggered that causes an action potential to fire. The neurons relay messages to their downstream synapses. Also, Action potentials produce an electric field that spreads from the neuron and can be detected by placing electrodes nearby. It allows the recording of the information represented by a neuron.
Importance of neuralink technology
The goal is to record from and stimulate spikes in neurons that are orders of magnitude already done!
- Neuro links’ initial goal is to help people deal with brain and spinal cord injuries or congenital disabilities. This technology could help people with paraplegia who’ve lost the ability to move or sense due to a spinal cord injury.
- Elon Musk claims the surgery is non-invasive and would be equivalent to LASIK eye surgery. Thousands of electrodes would be surgically implanted by a robot into the patient connected to a chip embedded under the skin. Each chip will then connect wirelessly to a Bluetooth wearable pod that lies behind the ear. It then communicates wirelessly to a phone or computer.
- Neuralink is designing its electrodes to not only read but to write as well. It has been decoding algorithms of thoughts and signals, taking that learned mathematical data and turning it into commands. Imagine being able to control your phone, computer, mouse, or even a video game controller with your mind.
- Potentially, the doctor could restore speech to a paralyzed person who cannot talk and take it a step further if this communication could reach all of the motor cortex. This would give them access to all mobility.
- The tech would be able to decode these movements. It’s sci-fi turning into reality.
Maybe learning a tedious task like calculus is learning a new language in the future will be as easy as downloading it. Or maybe check back with us in 50 years.
The neural link has the potential to bridge the gap between humans and AI and the potential to change humanity itself. The next challenge is making it practical and affordable. Do you think the neural link is the next chapter in humans and artificial intelligence? Share and tell us your thoughts in the comment below.
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