ORIGINAL RESEARCH article
Front. Comput. Neurosci.
This article is part of the Research TopicBridging Computation, Biophysics, Medicine, and Engineering in Neural CircuitsView all 16 articles
Fractal memory structure in the spatiotemporal learning rule
Provisionally accepted
- 1Advanced Comprehensive Research Organization, Teikyo University, Itabashi, Japan
- 2AIT Center, Sapporo City University, Sapporo, Japan
- 3Brain Science Institute, Tamagawa University, Machida, Japan
- 4Center for Mathematical Science and Artificial Intelligence, Chubu University, Kasugai, Japan
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The spatiotemporal learning rule (STLR) can reproduce synaptic plasticity in the hippocampus. Analysis of the synaptic weights in the network with the STLR is challenging. Consequently, our previous research only focused on the network's outputs. However, a detailed analysis of the STLR requires focusing on the synaptic weights themselves. To address this issue, we mapped the synaptic weights to a distance space and analyzed the characteristics of the STLR. The results indicate that the synaptic weights form a fractal-like structure in Euclidean distance space. Furthermore, three analytical approaches–multi-dimensional scaling, estimating fractal dimension, and modeling with an iterated function system–demonstrate that the STLR forms a fractal structure in the synaptic weights through fractal coding. These findings contribute to clarifying the learning mechanisms in the hippocampus.
Keywords: Fractal structure, spatiotemporal learning rule, Hippocampus (CA1), Neural Network, One-shot Learning
Received: 05 Jun 2025; Accepted: 17 Nov 2025.
Copyright: © 2025 Orima, Tsuda, Tsukada, Tsukada and Horio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Takemori Orima, orima.takemori.zu@teikyo-u.ac.jp
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