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Showing 1–4 of 4 results
Advanced filters: Author: Keshav Srinivasan Clear advanced filters

  • Reservoir computing is efficient but sensitive to hyperparameters and often neglects excitatory–inhibitory balance. Here, authors introduce self-adapting mechanisms inspired by neuronal dynamics that improve robustness, reduce fine-tuning needs, and boost performance across memory and prediction tasks.

    • Keshav Srinivasan
    • Dietmar Plenz
    • Michelle Girvan
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-12

  • The diversity of synchronized neuronal groups provides a challenge for brain theories. Here, the authors report that group size grows quadratically with duration in line with predictions for neuronal avalanches and brain dynamics being critical.

    • Elliott Capek
    • Tiago L. Ribeiro
    • Dietmar Plenz
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • Nature-based solutions are essential to avoid climate crisis, yet how best to estimate their long-run effects is unclear. Here the authors propose a new dynamic accounting method that captures the impermanence of these carbon impacts, allowing investors to make robust comparisons across projects.

    • Andrew Balmford
    • Srinivasan Keshav
    • Tom Swinfield
    Reviews
    Nature Climate Change
    Volume: 13, P: 1172-1178