Reservoir Computing

Physical computation framework using fixed complex dynamical systems with trained output filter; contrasted with physical learning's parameter modification approach

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Papers (1)

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Learning without neurons in physical systems
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Related by similarity (8)

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stress reservoirconcept0.774
A finite capacity for stress in each individual; when full, functioning breaks down.
Computation as a Physical Processconcept0.756
Longstanding tradition the paper situates itself within, treating computational complexity as manifesting via physical dynamical phenomena.
Computational Mechanicsframework0.739
Crutchfield's framework inferring minimal causal models from stochastic processes; causal states and transition matrices.
Structure in computationconcept0.730
The actual computational operations a model performs, which the paper argues need not mirror representational structure
Edge Computingconcept0.729
Resource-constrained deployment context where DLGN's binary efficiency is particularly valuable
DNA Computingconcept0.719
Computing paradigm using DNA fragments simultaneously as software and hardware logic gates, blurring hardware/software distinction
Stress Reservoir Modelframework0.719
Hans Selye's model that stress is cumulative, filling a finite reservoir, and when overloaded, reduces effective functioning.
Evolutionary Computationframework0.712