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Synapse
May 28, 2026Open Access

Hair as Memory: Retrieval Bottlenecks, Structural Gains, and Experimental Appendix

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Authors

SPSohan Poudel

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Overview

Randomized trial analyzes memory retrieval effectiveness in neural networks, highlighting architectural implications.

Key Points

  • This research explores the bottlenecks in retrieving memories stored in neural networks using unique architectural designs.
  • Conducted 18-run diagnostic program across various layouts
  • Evaluated candidate access and accuracy against deterministic and random baselines
  • Applied Principal Component Analysis to enhance memory retrieval efficiency.
  • Achieved ~0.90 candidate coverage through optimized memory routing
  • End-to-end accuracy ranged from 0.76 to 0.77, failing to surpass traditional methods
  • Correcting spatial layouts improved candidate coverage but not overall performance.

Cite This Study

Sohan Poudel (2026) studied this question.

synapsesocial.com/papers/6a17dd923fad632b0f9da42ahttps://doi.org/10.5281/zenodo.20391727
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