| Webster's Online Dictionary |
| Domain | Definition | ||
| Computing | Hebbian Refers to the most common way for a neural network to learn, namely supervised learning. Using a training sample which should produce known responses, the connection weights are adjusted so as to minimise the differences between the desired and actual outputs for the training sample. Source: The Free On-line Dictionary of Computing. | ||
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Source: compiled by the editor from various references; see credits. | Top | ||
| Expressions | Definition | ||
| Hebbian learning | Hebbian learning is a hypothesis for how neuronal connections are enforced in mammalian brains; it is also a technique for weight selection in artificial neural networks. (references) | ||
| Hebbian theory | Hebbian theory describes a basic mechanism for synaptic plasticity wherein an increase in synaptic efficacy arises from the presynaptic cells repeated and persistent stimulation of the postsynaptic cell. (references) | ||
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Source: compiled by the editor from various references; see credits. | Top | ||
Topics by Level of Interest: HEBBIAN | ||||
| Topics sorted by level of Interest | Level (1=low, 600=high) | Topics sorted Alphabetically | Level (1=low, 600=high) | |
| Hebbian theory | 21 | Generalized Hebbian Algorithm | 10 | |
| Generalized Hebbian Algorithm | 10 | Hebbian theory | 21 | |
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Source: the editor, created by/for EVE to gauge likely levels of human interest in linguistically triggered topics (compiled across various sources, such as Wikipedia and specialty expression glosses). | ||||
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