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: A new psychological model suggests change detection plays a key role in how we construct reality.
We may not be able to change recent events in our lives, but how well we remember them plays a key role in how our brains model what’s happening in the present and predict what is likely to occur in the future, finds new research in the Journal of Experimental Psychology: General.
“Memory isn’t for trying to remember,” said Jeff Zacks, professor of psychology and brain sciences in Arts & Sciences at Washington University in St. Louis and an author of the study. “It’s for doing better the next time.”
The study, co-authored with Chris Wahlheim of the University of North Carolina at Greensboro (UNCG), brings together several emerging theories of brain function to suggest that the ability to detect changes plays a critical role in how we experience and learn from the world around us.
Known as “Event Memory Retrieval and Comparison Theory” or EMRC, the model builds on previous research by Zacks and colleagues that suggests the brain continually compares sensory input from ongoing experiences against working models of similar past events that it builds from related memories.
When real life does not match the “event model,” prediction errors spike and change detection sets off a cascade of cognitive processing that rewires the brain to strengthen memories for both the older model events and the new experience, the theory contends.
“We provide evidence for a theoretical mechanism that explains how people update their memory representations to facilitate their processing of changes in everyday actions of others,” Wahlheim said. “These findings may eventually illuminate how the processing of everyday changes influences how people guide their own actions.”
In their current study, Zacks and Wahlheim tested the change detection model with experiments that take advantage of the well-documented fact that older adults often have increased difficulty in recalling details of recent events.
Groups of healthy older and younger adults were shown video clips of a woman acting out a series of routine, everyday activities, such as doing dishes or preparing to exercise. One week later, they were shown similar videos in which some event details had been changed.
“When viewers tracked the changes in these variation-on-a-theme videos, they had excellent memory for what happened on each day, but when they failed to notice a change, memory was horrible,” Zacks said.
“These effects may account for some of the problems older adults experience with memory — in these experiments, older adults were less able to track the changes, and this accounted for some of their lower memory performance.”
Previous research by Zacks and others has shown that the brain breaks up the activities of daily life into a hierarchy of distinct smaller events or “chunks,” and that our ability to identify transitions or “boundaries” between these chunks has consequences for how these experiences gets encoded in our memories.
For instance, just walking through a doorway, which the brain perceives as an “event boundary,” has been shown to diminish our recollection for information being processed just before we entered the new room. Thus, we sometimes find ourselves forgetting the reason we entered a room in the first place.
This event-driven model of brain function, known as Event Segmentation Theory (EST), has been gaining credence over the last decade.
Zacks, the author of the book “Flicker: Your Brain on Movies,” has used EST to explain how the brain processes fast-paced movie cuts and other film-making techniques that force viewers to process sensory input in ways evolution could never have predicted.
Event models may be based on previous personal experiences, but might also include perceptions gleaned from conversations with friends or similar situations portrayed in books, movies and television.
Thus, someone’s “event model” for a future wedding day might be based on other weddings attended, past gatherings of family and friends and tidbits gleaned from repeat viewings of the movie, “My Big Fat Greek Wedding.”
Event Memory Retrieval and Comparison Theory takes the event segmentation model a step further by introducing concepts from the “memory-for-change” framework, a theory put forth in recent research by Wahlheim and Larry Jacoby.
Jacoby is a prominent cognitive psychologist known for work on the interplay of consciously controlled versus more automatic influences of memory. He is now a professor emeritus of psychological & brain sciences at Washington University.
Wahlheim completed his PhD and postdoctoral training at Washington University, and now directs the Memory and Cognition Lab as an assistant professor at UNCG.
In recent research, Jacoby and Wahlheim exposed study participants to series of lists that included pairs of related words, including some lists where an originally presented word was paired with a new word.
While seeing the same “trigger” word associated with multiple word pairs has been shown to cause interference in the recall process, Jacoby and Wahlheim found that memory improved when participants both recognized the change during presentation and later remembered that the change had been recognized.
The memory-for-change framework suggests that noticing the change is critical to the creation of a memory trace that ties all these events together, strengthening our memory for the original pairing, the recognition of change and the new pairing.
The current study explores the memory-for-change phenomena in a more naturalistic scenario in which videos of daily activities replace paired-word lists. It also adds a chronological element by suggesting the videos represent activities filmed one week apart.
Findings suggest that establishing time-based connections improves recall because memory for a later event becomes embedded within a trace that includes reminding of an earlier event. Recent events embed earlier events, but not vice versa.
More broadly, these studies provide evidence that a major function of our memory is to help us retrieve relevant experiences and relate them to what is happening in the current environment.
“Our study lends support to the theory that predictions based on old events help us identify changes and encode the new event,” Zacks said. “Memories of recent experiences are valuable because they can be used to predict what will happen next in similar situations and help us do better in dealing with what’s happening now.”
[divider]About this neuroscience research article[/divider]
Funding: National Institute on Aging funded this study.
Source: Gerry Everding – WUSTL Publisher: Organized by NeuroscienceNews.com. Image Source: NeuroscienceNews.com image is credited to Wahlheim/Zacks. Original Research: Abstract for “Memory guides the processing of event changes for older and younger adultse” by Wahlheim, Christopher N.; and Zacks, Jeffrey M. in Journal of Experimental Psychology: General. Published July 9 2018. doi:10.1037/xge0000458
[divider]Cite This NeuroscienceNews.com Article[/divider]
[cbtabs][cbtab title=”MLA”]WUSTL”Unless We Spot Changes, Most Life Experiences are Fabricated From Memories.” NeuroscienceNews. NeuroscienceNews, 25 July 2018. <https://neurosciencenews.com/experience-memory-9612/>.[/cbtab][cbtab title=”APA”]WUSTL(2018, July 25). Unless We Spot Changes, Most Life Experiences are Fabricated From Memories. NeuroscienceNews. Retrieved July 25, 2018 from https://neurosciencenews.com/experience-memory-9612/[/cbtab][cbtab title=”Chicago”]WUSTL”Unless We Spot Changes, Most Life Experiences are Fabricated From Memories.” https://neurosciencenews.com/experience-memory-9612/ (accessed July 25, 2018).[/cbtab][/cbtabs]
Memory guides the processing of event changes for older and younger adults
Memory for related past experiences can guide current perceptions. However, memory can lead one astray if situational features have changed. Thus, to adaptively use memory to guide perception, one needs to retrieve relevant memories and also to register differences between remembered and current events. Event Memory Retrieval and Comparison Theory proposes that observers associatively activate memories of related previous episodes, and that this guides their ongoing perception. Conflicts between previous and current event features can hurt immediate performance, but if changes are registered and encoded they can lead to highly effective encoding of the prior event, current event, and their relationship. Disruption of these mechanisms could play a role in older adults’ greater susceptibility to event memory interference. Two experiments tested these hypotheses by asking participants to watch movies depicting two fictive days of an actor. Some activities were repeated across days, others were repeated with a changed feature (e.g., waking up to an alarm clock or a phone alarm), and others were performed only on Day 2. One week after watching the Day 2 movie, participants completed a cued-recall test. Changes that participants detected but did not remember led to proactive interference in recall, but changes that were successfully detected and remembered led to facilitation. Younger adults detected and remembered more changes than older adults, which partly explained older adults’ differential memory deficit for changed activities. These findings suggest a role for episodic reminding in event perception and a potential source of age differences in event memory.
[divider]Feel free to share this Neuroscience News.[/divider]