Neuromorphic computing

Related field where physical elements are modified for desired computational ability; traditionally targets symbolic inputs/outputs unlike physical learning's physical stimuli/responses

Neighborhood — ranked by edge-count

Papers (1)

paper

Learning without neurons in physical systems
mentions

Frameworks (1)

framework

Physical learning
associated_with
Framework 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

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Neurobiological Isomorphismconcept0.786
Neural codeconcept0.773
The model's parameters considered as the actual 'code' implementing its algorithms, as opposed to human-written code.
Neural Annealingframework0.773
Michael Johnson's prior work on how neural networks (and brains) can be 'annealed' to find optimal states.
Neural Representation Geometryconcept0.769
The broader conceptual framework that neural activations exhibit non-Euclidean geometric structure causally linked to behavior.
Neuroprostheticsconcept0.769
Neurorepresentationalismframework0.764
Claims consciousness subserves goal-directed behavior; supports agency indicators
neural cognitionconcept0.760
Cognition in nervous systems, used as a modelling target
neural substratesconcept0.753
Brain-based physical implementations of consciousness-related functions, assumed by many ToCs to be exclusive.