summary: New research reveals that individual neurons follow multiple educational rules at one time, which challenges the long belief that the interlocking plasticity works uniformly throughout the brain. Using advanced dual photon, scientists follow changes in clamps while learning in mice, and discovering that the different areas within one neurons are adaptive to the use of distinctive plasticity mechanisms.
This penetration sheds light on how the brain is solved “the problem of credit assignment”, where topical interlocking changes lead to wide behavioral learning. The results may direct new treatments for brain disorders and inspire the most advanced artificial intelligence systems.
Main facts:
- Multiple educational rules: Nerve cells follow the rules of different plasticity across separate areas, not a single global mechanism.
- Real -time photography: The researchers depicted individual clamps of adaptation during learning using bipoponeal brain imaging.
- Wide effect: Visions may help develop Amnesty International and treatments such as PTSD, Alzheimer’s and autism.
source: UCSD
How do we learn something new? How to become tasks in a new job, words of the latest successful song, or trends to a friend’s house encrypted in our brains?
The wide answer is that our brains are subject to adaptations to accommodate new information.
In order to follow new behavior or keep newly introduced information, brain circuits are subject to a change.
Such adjustments are organized through trillions of clamps – links between individual neurons, called neurons, where brain connection occurs. In a complex coordinated process, new information causes some clamps after another with new data while others increase weaker.
Neuroscientists who have closely studied these modifications, known as the “interlocking plane”, have identified many molecular processes that cause this plasticity.
However, the understanding of the “rules” that choose the clips subject to this process unknown, which is ultimately dictating how to capture the information learned in the brain.
Neuroscience specialists at the University of California in San Diego William “Jake”, Nathan Hedrik, and Takaki Cumama, discovered basic details about this process.
The main financial support of this multi -year study was provided by many national scholarships for health research and training grant.
It also published April 17 in the magazine sciencesThe researchers used a method of advanced brain visualization, including dual photo, to enlarge the brain activity of mice and follow the activities of the neurons and neurons cells during learning activities.
With the ability to see individual clamps as it did not happen before, the new photos revealed that neurons do not follow one set of rules during learning rings, as it was supposed to think of traditional thinking.
Instead, the data revealed that individual neurons follow multiple rules, with clamps in different areas after different rules.
These new results aim to help in many areas, from brain disorders and behavior to artificial intelligence.
“When people talk about the interlocking plasticity, it is considered a uniform within the brain,” said Wright, a post -PhD researcher at the College of Biological Sciences and the first author of the study.
“Our research provides a clearer understanding of how the clamps are modified during learning, with possible health effects because many diseases in the brain include a form of tangle imbalance.”
Neuroscientists have carefully studied how the clamps only enjoy access to their “local” information, however, they collectively help form new beneficial behaviors, a puzzle bearing the “credit mission problem” sign.
The issue is similar to individual ants that work on specific tasks without knowing the goals of the entire colony.
Finding that nerve cells follow multiple rules simultaneously take researchers by surprise. The advanced methods used in the study allowed the perception of the inputs and outputs of changes in neurons during their occurrence.
“This discovery mainly changes the way we understand how the brain solves the problem of credit allocation, with the concept that individual neurons do distinct accounts in parallel in different sub -compartments,” said the author of the study, Takaki Komiyama, a professor in the field of neuroscience (College of Science (College of Biological Sciences), and the school of medical school in the institute.
New information provides promising visions for the future of artificial intelligence and neural networks similar to the brain.
The entire nerve network usually works on a joint set of brown rules, but this research raises possible new ways to design advanced artificial intelligence systems using multiple bases across individual units.
For health and behavior, results can provide a new way to treat cases including addiction, post -traumatic disorder and Alzheimer’s disease, as well as neurological growth disorders such as autism.
“This work places a possible basis to try to understand how the brain usually works to allow us to understand what is wrong in these various diseases,” Wright said.
The new results are now leading researchers in a training course to drilling deeper to understand how neurons are able to benefit from different rules at the same time and what are the benefits using multiple rules that give them.
About this interlocking plasticity and educational research news
author: Mario Aguilera
source: UCSD
communication: Mario Aguilera – UCSD
image: The image is attributed to the Komiyama, Uc San Diego Laboratory
The original search: Closed access.
“Distinguished interlocking pharmaceutical rules work through the curtains in the live body during learning“By William” Jake “Wright and others. sciences
a summary
Distinguished interlocking pharmaceutical rules work through the curtains in the live body during learning
The tangle coding is learning by adjusting specific interlocking inputs to reshape the nervous activity and behavior.
However, the rules governing the clamps will be subject to different forms of plasticity in the live body during learning and whether these rules are unified within individual neurons are still unclear.
Using longitudinal imaging in the live body with the accuracy of the individual haven in the mouse kinetic dandruff during motor learning, we found that the hypothesis and basal ramifications of the 2/3 layer (L2/3) showed that the interlocking pyramidal cells are distinct dependent on activity.
The reinforcement of the Qaeda nerve nervous people is predicted through local customization with nearby clamps and activity in conjunction with the possibilities of post -suspicious work, respectively.
The post -sympathetic prevalence reduces the strengthening of the base interlocking without affecting the restless plasticity. Consequently, individual neurons use the rules of multiple plasticity that depend on activity in a special way in the living body during learning.
2025-04-17 21:13:00
