Assertion: neural network's neuron | /r/CapableOf | receive signal
Facets:
value: in the next layer
type: LOCATION
value: via the dendrites
type: OTHER
value: via their axons
type: MANNER
value: to other neurons
type: TRANSITIVE-OBJECT
value: from those closer
type: OTHER
value: via connections
type: MANNER
value: to its outputs
type: TRANSITIVE-OBJECT
Source sentences:
text: An artificial neuron that receives a signal then processes it and can signal neurons connected to it.
text: If the total of all the weighted inputs received by a particular neuron surpasses a certain threshold value, the neuron will send a signal to each neuron to which it is connected in the next layer.
text: This function defines whether this neuron will send any signal to its outputs and which value will be propagated to the outputs.
text: A neuron transmits signals to other neurons via connections called synapses.
text: An artificial neuron that receives a signal then processes it and can signal neurons connected to it.
text: An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it.
text: Each successive tier receives the output from the tier preceding it, rather than from the raw input -- in the same way neurons further from the optic nerve receive signals from those closer to it.
text: A biological neuron receives signals via the dendrites, the nucleus processes these signals and the axon transmits these signals to other neurons.
text: Most neurons send signals via their axons, although some types are capable of dendrite-to-dendrite communication.
text: The activated neurons send signals to every connected neuron in the next layer.