| 词汇 | example_english_synaptic-weight |
| 释义 | synaptic weightcollocation in Englishmeanings of synapticand weightThese words are often used together. Click on the links below to explore the meanings. Or, see other collocations with weight. synaptic adjective uk /sɪˈnæp.tɪk/ us /sɪˈnæp.tɪk/ relating to the point at which electrical signals move from one nerve cell ... See more at synaptic weight noun uk /weɪt/ us /weɪt/ the amount that something or ... See more at weight Examples of synaptic weightThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. A coefficient is attached to each connection between neurons; this coefficient is called synapticweight and traduces the influence between two neurons. Each input into the neuron has an associated synapticweight that determines the intensity of the input. This mechanism conserves the total synapticweight across the cell by introducing competition between synapses. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. During development, cells can be refined when some synapses are preserved and others are discarded to normalize total synapticweight. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. In rate coding, learning is based on activity-dependent synapticweight modifications. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Another mechanism is the cell-wide redistribution of synapticweight. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. In this paradigm, variations of synapticweight were considered as sufficient to explain memory processes at the cellular level. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. During training the synaptic weights are evaluated and after training, the network should be able to reproduce the learned behaviour. During learning, the neocortical information that enters the hippocampus by way of the entorhinal cortex alters the synaptic weights in hippocampal circuits. The changes in synapticweight that occur is known as synaptic plasticity, and the process behind long-term changes (long-term potentiation and depression) is still poorly understood. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. It was hypothesized that modulation of the asociative changes in synaptic weights implies abnormal interactions between certain areas, such as prefronto-temporal interactions. Of course, the brain does not compute by using probability distributions, but through synaptic weights and neural activation functions. If the program were able to learn to set its own synaptic weights, the problem of scaling-up associated with hand-coding could quite possibly be overcome. Scaling can be multiplicative (multiplying or dividing the strength of each synapse by a constant number) or additive (adding or subtracting the same value from the synapticweight). From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. The partitioning of the arbor into separate circuits greatly simplifies the constraint of channel densities and individual synaptic weights, and provides for a large repertoire of distinct computations. Although we have the complete structural connectome, we do not know the synaptic weights at each of the known synapses. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. By learning and exchanging public outputs of their networks, client's and server's neural networks will be synchronized, meaning they will have identical synaptic weights, after some time. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Unspecified strengthening of synaptic weights causes neural activity to become unstable to the point that insignificant stimulatory perturbations can trigger chaotic, synchronous network-wide firing known as bursts. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Hebb's rule has synaptic weights approaching infinity with a positive learning rate. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. Want to learn more? Go to the definition of synaptic Go to the definition of weight See other collocations with weight |
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