Neuroscience research articles are provided.
What is neuroscience? Neuroscience is the scientific study of nervous systems. Neuroscience can involve research from many branches of science including those involving neurology, brain science, neurobiology, psychology, computer science, artificial intelligence, statistics, prosthetics, neuroimaging, engineering, medicine, physics, mathematics, pharmacology, electrophysiology, biology, robotics and technology.
– These articles focus mainly on neurology research. – What is neurology? – Definition of neurology: a science involved in the study of the nervous systems, especially of the diseases and disorders affecting them. – Neurology research can include information involving brain research, neurological disorders, medicine, brain cancer, peripheral nervous systems, central nervous systems, nerve damage, brain tumors, seizures, neurosurgery, electrophysiology, BMI, brain injuries, paralysis and spinal cord treatments.
What is Psychology? Definition of Psychology: Psychology is the study of behavior in an individual, or group. Psychology news articles are listed below.
Artificial Intelligence articles involve programming, neural engineering, artificial neural networks, artificial life, a-life, floyds, boids, emergence, machine learning, neuralbots, neuralrobotics, computational neuroscience and more involving A.I. research.
Robotics articles will cover robotics research press releases. Robotics news from universities, labs, researchers, engineers, students, high schools, conventions, competitions and more are posted and welcome.
Genetics articles related to neuroscience research will be listed here.
Neurotechnology research articles deal with robotics, AI, deep learning, machine learning, Brain Computer Interfaces, neuroprosthetics, neural implants and more. Read the latest neurotech news articles below.
Summary: People move their eyes to determine whether or not they have seen an image before. Their eye movement patterns could predict memory mistakes. Findings reveal eye movements play a functional role in memory retrieval.
Source: Baycrest Center for Geriatric Care
In a recent study, scientists at Baycrest’s Rotman Research Institute (RRI) found that research participants moved their eyes to determine whether they had seen an image before, and that their eye movement patterns could predict mistakes in memory. They obtained these results using an innovative new eye tracking technique they developed.
“Our findings indicate that eye movements play a functional role in memory retrieval,” says Dr. Jennifer Ryan, senior scientist at the RRI and Canada Research Chair in Cognitive Neuroscience of Memory. “They can tell us a lot about someone’s memory.”
This study builds on previous Baycrest research examining the link between eye movements and memory, including the role of our eye movements in memorization and the weakening connection between our eye movements and our brain activity as we age.
“When we see a picture, a face or something else that we have already seen, our eyes tend to look at the same locations as they did the first time. The brain compares important characteristics of what we are seeing to a mental picture in our memory, and it identifies the two as the same,” says Dr. Bradley Buchsbaum, senior scientist at the RRI. “The brain is pretty good at this, even in conditions of lower visibility.”
“If we see someone in the distance, or if their face is partially hidden by branches, our brain will compare the features that are visible to a mental picture to determine whether we know that person,” says Jordana Wynn, lead researcher on this study, former PhD student at the RRI and current fellow at Harvard University.
This phenomenon is called “pattern completion.” When it goes wrong, we may end up mistakenly waving to a stranger if he or she has similar hair or a similar nose to someone we know.
In this study, published in the journal Proceedings of the National Academy of Sciences (PNAS), participants were first asked to memorize a series of 30 new images on a screen. Next, they viewed another series, this time containing both some of the previously seen images and some new-but-similar images. They were then asked to indicate whether they had seen each one before. Their eye movements were tracked during both stages. Each image was shown briefly, ranging from 250 milliseconds to 750 milliseconds, before the participants were instructed to visualize it while looking at a blank screen.
Participants were highly accurate in identifying previously seen images as old, scoring almost 90%. They were more likely to be correct if their eye movements were the same as when they initially saw the image. On the other hand, they performed less well, at 70%, when faced with a new-but-similar image. In the latter case, the more participants repeated their initial viewing pattern instead of focusing on the different aspects of the image, the more likely they were to incorrectly identify the image as old.
To emulate real-world situations where we don’t have full information, the researchers also used incomplete, or “degraded,” versions of images. This ranged from 0 to 80% degradation, in the form of grey squares covering parts of the image. Remarkably, even when the image was 80% degraded, performance was much better than pure guessing, reflecting the strength of pattern completion.
“Using our eye tracking technique, we were able to map the participants’ eye movements and observe that they were mentally picturing an image that they could not see,” says Wynn. “They were using pattern completion.”
Many studies have examined pattern completion over the past decades, but with one critical weakness. “These studies have all been based on the untested assumption that we can infer pattern completion is happening when participants mistakenly ‘recognize’ images that they have not seen before,” says Wynn. “Our study is the first to use eye movement analysis, rather than behaviour, to show that people are in fact retrieving a memory of an old image when they make this mistake.”
This study’s findings have important implications in terms of assessing memory. “Some of the traditional tests used to diagnose memory impairments are quite verbal,” says Dr. Ryan. “They often require good command of the English language, which can be a problem in a multicultural city like Toronto.”
“With eye tracking, you don’t have to ask people what they remember. You can just look at their eyes. This gives us a lot more information about their memory than we thought,” says Dr. Buchsbaum.
This work was made possible with support from the Canadian Institutes of Health Research (CIHR) and the Natural Sciences and Engineering Research Council of Canada (NSERC).
With additional funding, the researchers could further examine the role of eye movements in memory retrieval. “This could lead to the development of better screening tools for dementia, which is the ultimate hope,” says Dr. Ryan.
[divider]About this neuroscience research article[/divider]
Source: Baycrest Center for Geriatric Care Media Contacts: Michelle Petch Gotuzzo – Baycrest Center for Geriatric Care Image Source: The image is in the public domain.
Original Research: Closed access “Eye movements support behavioral pattern completion”. Jordana S. Wynn, Jennifer D. Ryan, and Bradley R. Buchsbaum. PNAS doi:10.1073/pnas.1917586117.
Eye movements support behavioral pattern completion
The ability to recall a detailed event from a simple reminder is supported by pattern completion, a cognitive operation performed by the hippocampus wherein existing mnemonic representations are retrieved from incomplete input. In behavioral studies, pattern completion is often inferred through the false endorsement of lure (i.e., similar) items as old. However, evidence that such a response is due to the specific retrieval of a similar, previously encoded item is severely lacking. We used eye movement (EM) monitoring during a partial-cue recognition memory task to index reinstatement of lure images behaviorally via the recapitulation of encoding-related EMs or gaze reinstatement. Participants reinstated encoding-related EMs following degraded retrieval cues and this reinstatement was negatively correlated with accuracy for lure images, suggesting that retrieval of existing representations (i.e., pattern completion) underlies lure false alarms. Our findings provide evidence linking gaze reinstatement and pattern completion and advance a functional role for EMs in memory retrieval.
[divider]Feel Free To Share This Memory Research News.[/divider]