Related Experiment Video
Updated: Jul 11, 2026

Decoding Natural Behavior from Neuroethological Embedding
Published on: October 3, 2025
Storage capacity and retrieval time of small-world neural networks
Hiraku Oshima1, Takashi Odagaki
1Department of Physics, Kyushu University, Fukuoka 812-8581, Japan.
Abstract:
To understand the influence of structure on the function of neural networks, we study the storage capacity and the retrieval time of Hopfield-type neural networks for four network structures: regular, small world, random networks generated by the Watts-Strogatz (WS) model, and the same network as the neural network of the nematode Caenorhabditis elegans. Using computer simulations, we find that (1) as the randomness of network is increased, its storage capacity is enhanced; (2) the retrieval time of WS networks does not depend on the network structure, but the retrieval time of C. elegans's neural network is longer than that of WS networks; (3) the storage capacity of the C. elegans network is smaller than that of networks generated by the WS model, though the neural network of C. elegans is considered to be a small-world network.
Related Concept Videos
Storage
System of Memory
Working Memory
Neural Circuits
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Chunking and Rehearsal in Sensory Memory
Long-Term Memory
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...