The study used an AI computational model to simulate how neural networks in the human brain learns from and remembers a series of events.
A new study by UCL Institute of Cognitive Neuroscience proposes that generative AI can help explain both the human imagination and memory formation. The study utilized an AI computational model, also known as a generative neural network, to simulate how neural networks in the human brain learn from and remember a series of events.
The study used a computational model resembling the human hippocampus and neocortex’s neural networks, in order to simulate memory encoding and retrieval. Both the hippocampus and neocortex are believed to work together during memory, imagination, and planning. The study also provided new insights into the human memory’s role in survival, predicting future events, and comprehending memory distortions.
“Recent advances in the generative networks used in AI show how information can be extracted from experience so that we can both recollect a specific experience and also flexibly imagine what new experiences might be like,” explained lead author of the study, and Ph.
