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AI Emulates Brain’s Memory Replay, Uncovering How We Learn

Published in Artificial Intelligence, Memory.

Summary: Scientists have made strides in uncovering the mechanisms underlying memory formation and consolidation in the brain during rest or sleep.

A new study focuses on the role of the hippocampus, a brain region important for memory, and its place cells which “replay” neuronal sequences.

The researchers built an artificial intelligence model to better understand these processes, discovering that sequences of experiences are prioritized during replay based on familiarity and rewards.

The AI agent was found to learn spatial information more effectively when replaying these prioritized sequences, offering valuable insight into the way our brains learn and process information.

Key Facts:

The hippocampus contains place cells that fire in specific locations, and these cells play a crucial role in “replay” during rest or sleep.
Neuronal sequences during replay are not random, but follow certain prioritization rules, such as prioritizing familiar experiences and those associated with rewards.
The artificial intelligence model built by the researchers emulates this replay process and was found to learn spatial information more efficiently when replaying prioritized sequences.
Source: RUB

The hippocampus brain region is of great importance in memory formation. This has been illustrated by famous cases such as that of the patient H.M., who was unable to form new memories after large parts of his hippocampus had been removed.

Studies on rodents have demonstrated the role of the hippocampus in spatial learning and navigation. An important discovery in this context was cells that fire at specific locations, known as place cells.

“They play a role in a fascinating phenomenon known as replay,” explains Nicolas Diekmann.

“When an animal moves around, certain place cells fire one after the other along the animal’s route. Later, at rest or during sleep, the same place cells can be reactivated either in the same order as they were experienced or in reverse order.”

https://neurosciencenews-com.cdn.ampproject.org/c/s/neurosciencenews.com/place-cell-ai-learning-23202/amp/