You’ve heard about the ghost train, the ghostly car, and the ghost city.
But now a team of researchers has developed a way of training your brain not to see them, using a simple process known as “brain imaging.”
The team, led by researchers at the University of Bristol, have developed a technique called “facial recognition.”
The goal is to train the brain to automatically identify the shape and color of a face.
They hope this could be used to help us improve our ability to detect ghost trains, which can cause traffic accidents.
The researchers, led in part by Professor Richard Bower, found that trained subjects had better visual recognition of ghosts than a group of untrained people.
This is important because it suggests that people are more likely to see ghosts, which are usually more subtle and can be difficult to detect.
This means that if we can train our brains to identify ghosts, then we could have an improved safety net for cars on the road.
The team have also developed a tool called a face-recognition system that they say can help people navigate ghostly roads, as well as a virtual reality device called a visor that can help blind people see in 3D.
The findings, published in the journal Nature Neuroscience, were based on a group who were given the same training and tested for visual memory and perception.
The results showed that people trained in this way had better performance than people who were not trained in the technique.
But the team didn’t have a way to see how this works, so they used the technology to see whether people could actually learn the technique without seeing the ghost trains.
The group trained the subjects to identify a series of ghostly shapes on a computer screen.
These shapes were randomly assigned to represent a face or a ghost.
The images were then shown to the subjects in the lab and trained to make them see the shapes as they were seen.
In other words, the test subjects had to see the faces in the room and remember which one they saw as the ghost.
They trained the brain, with the help of a computer program, to detect the shapes.
The trained subjects were then given the opportunity to train their brains again.
This time they had to recognise the shapes and then learn to see each one as the other.
When they had done this, the trained subjects did not see the ghost cars as they had trained in their training.
But when they were given a test that asked them to recognize a picture of a ghost, the trainees showed an improvement.
“This suggests that the training process can work on a latent level and can have effects on performance,” the team wrote in the paper.
“Although it’s unclear how this might happen, it’s also possible that the trained people were actually seeing a picture and learning to recognise it as the real thing, rather than just remembering the trainee’s visual experience.”
The researchers also tested the technique on people who had never seen a ghost before.
When given a picture to train them in the visual memory, the people did not fail to recognize it as being the real ghost, as they did before.
But after training, the participants saw the ghost car as the one they had seen previously.
This could mean that training may help us to avoid ghost cars altogether.
“I don’t think it’s that surprising to me that our trained subjects can recognise the ghosts, as it’s quite a simple thing to do,” said lead researcher Dr Sami Fink from the University’s School of Psychology.
“We know from other studies that our brains are able to discriminate shapes, colours, shapes and so on, but we’ve never been able to do that for the ghost.”
It’s possible, Fink added, that this could also be useful in other fields, such as in computer vision, where people are often trained to recognise objects.
“When we trained the trainors to recognise ghosts, we were able to see some patterns that we hadn’t seen before.
These are interesting areas to study, and we’re keen to explore them further,” Fink said.
“If we can develop techniques that can recognise these patterns, and that we can work with them on to train a more complex model, then this could help us create safer and more efficient vehicles for people.”
Source: University of Sussex article Related stories Ghost train haze ghost train haze,ace family ghost,ace business travel,travelling as a ghost train source New Zealand article The ghost train The ghost car The ghost city The train station The ghost town The ghost station The train in New Zealand The ghost road train Ghost train ghost train article Related articles The team say they hope their findings can be used by others in the future, as part of a broader research programme, so that the technology can be applied to a wider range of problems.
The research is published in Nature Neuroscience.
The paper’s co-author, Professor Richard Bennett, from the Institute of Cognitive Neuroscience at the Institute for