concept
active
concept:flow-networksFlow networks
Networks for transport via fluid flow (biological vascular, engineered microfluidic); pipe properties adapt locally to control flow conductance and enable learning
Neighborhood — ranked by edge-count
Papers (1)
paper
Frameworks (1)
framework
- Physical learningassociated_withFramework for solving inverse problems in which physical systems autonomously adapt their parameters in response to stimuli through local learning rules, without requiring computational design or explicit cost functions
Concepts (1)
concept
- Physarum polycephalumassociated_withOrganism whose tube thickness in flow networks controls shape, movement, foraging, and memorization; demonstrates natural physical learning in biological context
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Early Schmidhuber group architecture using residual connections, precursor to the residual stream structure in transformers
- Spring networks and mechanical systems used to demonstrate physical learning through modifications of bond stiffnesses in response to strain
- Networks without feedback loops, such as the Perceptron; limited to linearly separable functions.
- The interdependence of morphogenetic sequences, where each triggers others to repair the whole environment, analogous to arithmetic operations.
- MTL architecture with linear combinations of activations across tasks.
- Networks with loop connections that can maintain internal state and exhibit dynamical attractors.
- Third model system studied; shown to support complex pattern formation unlike flat architectures.