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- Spiking_neural_network abstract "Spiking neural networks (SNNs) fall into the third generation of neural network models, increasing the level of realism in a neural simulation. In addition to neuronal and synaptic state, SNNs also incorporate the concept of time into their operating model. The idea is that neurons in the SNN do not fire at each propagation cycle (as it happens with typical multi-layer perceptron networks), but rather fire only when a membrane potential – an intrinsic quality of the neuron related to its membrane electrical charge – reaches a specific value. When a neuron fires, it generates a signal which travels to other neurons which, in turn, increase or decrease their potentials in accordance with this signal.In the context of spiking neural networks, the current activation level (modeled as some differential equation) is normally considered to be the neuron's state, with incoming spikes pushing this value higher, and then either firing or decaying over time. Various coding methods exist for interpreting the outgoing spike train as a real-value number, either relying on the frequency of spikes, or the timing between spikes, to encode information.".
- Spiking_neural_network wikiPageExternalLink SPNM.html.
- Spiking_neural_network wikiPageID "10159567".
- Spiking_neural_network wikiPageRevisionID "603985575".
- Spiking_neural_network hasPhotoCollection Spiking_neural_network.
- Spiking_neural_network subject Category:Computational_statistics.
- Spiking_neural_network subject Category:Neural_networks.
- Spiking_neural_network type Abstraction100002137.
- Spiking_neural_network type Communication100033020.
- Spiking_neural_network type ComputerArchitecture106725249.
- Spiking_neural_network type Description106724763.
- Spiking_neural_network type Message106598915.
- Spiking_neural_network type NeuralNetwork106725467.
- Spiking_neural_network type NeuralNetworks.
- Spiking_neural_network type Specification106725067.
- Spiking_neural_network type Statement106722453.
- Spiking_neural_network comment "Spiking neural networks (SNNs) fall into the third generation of neural network models, increasing the level of realism in a neural simulation. In addition to neuronal and synaptic state, SNNs also incorporate the concept of time into their operating model.".
- Spiking_neural_network label "Red neuronal de impulsos".
- Spiking_neural_network label "Spiking neural network".
- Spiking_neural_network sameAs Red_neuronal_de_impulsos.
- Spiking_neural_network sameAs m.02q3qrf.
- Spiking_neural_network sameAs Q9067355.
- Spiking_neural_network sameAs Q9067355.
- Spiking_neural_network sameAs Spiking_neural_network.
- Spiking_neural_network wasDerivedFrom Spiking_neural_network?oldid=603985575.
- Spiking_neural_network isPrimaryTopicOf Spiking_neural_network.