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Gain is a parameter in neural network modeling, which influences the probability that a neuron fires at a given activation level. Single cell recordings in non-human primates have shown that the likelihood of a neuron firing, given a constant sensory input, is enhanced when the stimulus dimension that is preferentially processed by the neuron is attended to.11.

Stephen Harrod Buhner Quote: “Gain is a parameter in neural network modeling, which influences the probability that a neuron fires at a given activation level. Single cell recordings in non-human primates have shown that the likelihood of a neuron firing, given a constant sensory input, is enhanced when the stimulus dimension that is preferentially processed by the neuron is attended to.11.”

“Gain is a parameter in neural network modeling, which influences the probability that a neuron fires at a given activation level. Single cell recordings in non-human primates have shown that the likelihood of a neuron firing, given a constant sensory input, is enhanced when the stimulus dimension that is preferentially processed by the neuron is attended to.11.”

Stephen Harrod Buhner

Stephen Harrod Buhner Quote: “Gain is a parameter in neural network modeling, which influences the probability that a neuron fires at a given activation level. Single cell recordings in non-human primates have shown that the likelihood of a neuron firing, given a constant sensory input, is enhanced when the stimulus dimension that is preferentially processed by the neuron is attended to.11.”
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