Emulating the Hippocampus: Hyperdimensional Memory Encoding and Retrieval with PyTorch

"The hippocampus is a vital structure within the human brain which is integral to memory formation, consolidation and retrieval. Emulating its functions in artificial systems has been a longstanding objective in both neuroscience and artificial intelligence (AI).

"This article explores my approach leveraging Hyperdimensional Computing (HDC) to mimic hippocampal functions using PyTorch, a widely adopted deep learning framework. By encoding the MNIST dataset — comprising handwritten digits — into high-dimensional hypervectors, storing them in a memory bank and implementing retrieval & consolidation mechanisms, this model provides valuable insights into biologically inspired memory systems and their applications in machine learning."

Originally posted by Zscale Labs™ colleague Robert McMenemy. Continue reading at:

Emulating the Hippocampus: Hyperdimensional Memory Encoding and Retrieval with PyTorch

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