Rodriguez et al., "Optimal modularity and memory capacity of neural reservoirs" (2019)

2019 → 2026-08-14

Nathaniel Rodriguez, Eduardo Izquierdo, and Yong-Yeol Ahn, Network Neuroscience 3(2), 551–566 (2019)
Link | arXiv | Code

@article{rodriguez2019optimal,
    author = {Nathaniel Rodriguez and Eduardo Izquierdo and Yong-Yeol Ahn},
    title = {Optimal modularity and memory capacity of neural reservoirs},
    journal = {Network Neuroscience},
    volume = {3},
    number = {2},
    pages = {551--566},
    doi = {10.1162/netn_a_00082},
    archivePrefix = {arXiv},
    eprint = {1706.06511},
    primaryClass = {cs.NE},
    year = {2019},
}

Shows that modular structure controls the dynamics and memory performance of threshold-neuron reservoirs. Memory peaks at an intermediate modularity that balances local cohesion with global connectivity.

Reservoir computing, Optimal modularity, Neural graph architecture and function

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