Presents a memory uncertainty relation bounding short-term memory from below in dynamical systems, with harmonic memory as the lower bound, and analyzes equality cases plus noise-induced memory under regularization in noisy reservoir systems.
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Differentiable resistor networks exhibit catastrophic forgetting in sequential learning, with forgetting severity tied to task conflict, adaptation degree, and network topology.
citing papers explorer
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Memory Uncertainty Relation and Harmonic Memory in Random Recurrent Networks
Presents a memory uncertainty relation bounding short-term memory from below in dynamical systems, with harmonic memory as the lower bound, and analyzes equality cases plus noise-induced memory under regularization in noisy reservoir systems.
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Sequential Learning and Catastrophic Forgetting in Differentiable Resistor Networks
Differentiable resistor networks exhibit catastrophic forgetting in sequential learning, with forgetting severity tied to task conflict, adaptation degree, and network topology.