Notebookcheck Logo

New research reveals brain memory encoding can improve AI, memory therapies, and learning tools

Real-world applications of this research across various fields include education, artificial intelligence and brain-machine interfaces. (Image source: Dall-E 3)
Real-world applications of this research across various fields include education, artificial intelligence and brain-machine interfaces. (Image source: Dall-E 3)
This new UCLA study uncovers how brain cells encode the order of experiences, revealing practical applications in memory disorder treatments, advanced AI systems, and improved learning methods. The findings also hold promise for brain-machine interfaces and mental health therapies.

A new research paper titled Human hippocampal and entorhinal neurons encode the temporal structure of experience explores how our brains organize memories by identifying patterns over time, even when we’re not consciously aware of them. The study specifically focused on neurons in the hippocampus and entorhinal cortex, two key brain regions involved in memory and learning.

In this study, researchers monitored brain activity in 17 patients who had epilepsy and had intracranial electrodes implanted - tiny devices placed inside the brain to monitor its electrical activity. This allowed scientists to directly observe how neurons behave when people are exposed to patterns or sequences of events. For the sake of this experiment, patients were shown around 120 images of people, animals, objects and landmarks over 40 minutes - that too, in a specific order. Researchers analyzed how neurons in the hippocampus (a part of the brain that helps store and retrieve memories) and the entorhinal cortex (a region that communicates with the hippocampus to process both time and space) responded to those images.

One major finding was that neurons slowly yet steadily altered their activity as the patients were exposed to these image patterns, even though the participants were not told about the pattern. The neurons encoded what the images were ("what" information) and in what order they appeared ("when" information). What this did was, it formed a representation of the same sequence/pattern, a process known as encoding temporal sequences—essentially how the brain tracks the order of events over time. Even when the images were later presented in random order, the neurons still remembered the original sequence.

The sequence of stimuli presentation (bottom) corresponded to a random order on a pyramid graph in the test. (Image source: UCLA / Nature)
The sequence of stimuli presentation (bottom) corresponded to a random order on a pyramid graph in the test. (Image source: UCLA / Nature)
Two representative hippocampal neurons that responded preferentially to the image of the policeman. (Image source: UCLA / Nature)
Two representative hippocampal neurons that responded preferentially to the image of the policeman. (Image source: UCLA / Nature)
This diagram explains the logic behind the population decoding analysis. (Image source: UCLA / Nature)
This diagram explains the logic behind the population decoding analysis. (Image source: UCLA / Nature)

Neuronal replay was another aspect of the same study, where the neurons quickly replayed the same sequence of events during breaks. Happening at a way faster rate, this replay is believed to help the brain consolidate, or integrate, the memory of the sequence. The researchers drew parallels between how the brain encodes space and time, suggesting that similar mechanisms are at work whether one is navigating through space (e.g., walking through a maze or a confined space) or tracking the sequence of events in a timeline.

So what are this research's implications? The brain is the most complex organ in the world, and it will bring us closer to understanding the brain’s ability to organize experiences into predictable patterns. Even without conscious awareness, our neurons are working to make sense of the world, organizing both space and time to help us remember and anticipate future events. 

Real-world applications across various fields include education, where these findings could lead to improved learning methods by structuring material in a way that mirrors how the brain naturally processes sequences - in short, better memory retention. In healthcare, the research could guide the development of therapies for memory disorders like Alzheimer's. Artificial intelligence and machine learning systems could benefit from mimicking the brain’s predictive abilities, leading to smarter and more adaptive technologies.

Brain-machine interfaces, similar to the Neuralink, could leverage temporal encoding to aid individuals with neurological impairments. This will allow them to better control prosthetics or communication devices. Last but not least, mental health treatments, particularly for conditions like PTSD, could be stepped up - simply by targeting how traumatic memories are encoded and recalled, giving us new ways to manage intrusive thoughts.

Source(s)

static version load dynamic
Loading Comments
Comment on this article
Please share our article, every link counts!
Mail Logo
> Expert Reviews and News on Laptops, Smartphones and Tech Innovations > News > News Archive > Newsarchive 2024 09 > New research reveals brain memory encoding can improve AI, memory therapies, and learning tools
Anubhav Sharma, 2024-09-26 (Update: 2024-09-26)