Exact analytical expression for the time-dependent maximum Lyapunov exponent during transients in a network supporting dynamics-based computation.
Kuranet: Systems of coupled oscillators that learn to synchronize.arXiv preprint arXiv:2105.02838, 2021
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Gradient optimization of coupling networks for synchrony produces sparse bipartite monophilic topologies with provable threshold-free phase-locking in Kuramoto models.
WONN is a new oscillatory neural network based on generalized Winfree dynamics that scales competitively to ImageNet-1K and reaches 80.1% accuracy on Maze-hard with 1% of prior model parameters.
citing papers explorer
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Exact expression for maximum Lyapunov exponent during transients in computationally powerful dynamical networks
Exact analytical expression for the time-dependent maximum Lyapunov exponent during transients in a network supporting dynamics-based computation.
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Emergent Topology of Optimal Networks for Synchrony
Gradient optimization of coupling networks for synchrony produces sparse bipartite monophilic topologies with provable threshold-free phase-locking in Kuramoto models.
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Winfree Oscillatory Neural Network
WONN is a new oscillatory neural network based on generalized Winfree dynamics that scales competitively to ImageNet-1K and reaches 80.1% accuracy on Maze-hard with 1% of prior model parameters.