« Fréquence de décharge » : différence entre les versions
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# In a biological neural network: neurons in a biological neural network fire when and if they receive enough stimulus via their (input) synapses. This means that an electrical impulse is propagated along the neuron's axon and transmitted to other neurons via the output synaptic connections of the neuron. The '''firing rate''' of a neuron is the frequency with which it fires (cf. activation in an artificial neural network. | # In a biological neural network: neurons in a biological neural network fire when and if they receive enough stimulus via their (input) synapses. This means that an electrical impulse is propagated along the neuron's axon and transmitted to other neurons via the output synaptic connections of the neuron. The '''firing rate''' of a neuron is the frequency with which it fires (cf. activation in an artificial neural network. | ||
# In an expert system: when a rule in the expert system is used, it is said to fire. | # In an expert system: when a rule in the expert system is used, it is said to fire. | ||
Version du 13 septembre 2019 à 10:34
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firing rate
- In a biological neural network: neurons in a biological neural network fire when and if they receive enough stimulus via their (input) synapses. This means that an electrical impulse is propagated along the neuron's axon and transmitted to other neurons via the output synaptic connections of the neuron. The firing rate of a neuron is the frequency with which it fires (cf. activation in an artificial neural network.
- In an expert system: when a rule in the expert system is used, it is said to fire.
Contributeurs: Amanda Clément, Jean Benoît Morel, wiki
