Spike-triggered covariance
Spike-triggered covariance (STC) analysis is a tool for characterizing a neuron's response properties using the covariance of stimuli that elicit spikes from a neuron. STC is related to the spike-triggered average (STA), and provides a complementary tool for estimating linear filters in a linear-nonlinear-Poisson (LNP) cascade model. Unlike STA, the STC can be used to identify a multi-dimensional feature space in which a neuron computes its response.
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Spike-triggered covariance
Spike-triggered covariance (STC) analysis is a tool for characterizing a neuron's response properties using the covariance of stimuli that elicit spikes from a neuron. STC is related to the spike-triggered average (STA), and provides a complementary tool for estimating linear filters in a linear-nonlinear-Poisson (LNP) cascade model. Unlike STA, the STC can be used to identify a multi-dimensional feature space in which a neuron computes its response.
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Spike-triggered covariance (ST ...... der Volterra or Wiener kernel.
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Коваріація по викликаних спайк ...... ий викликає відповідь нейрону.
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Spike-triggered covariance (ST ...... neuron computes its response.
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Коваріація по викликаних спайк ...... ликаної коваріаційної матриці.
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Spike-triggered covariance
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Коваріація по викликаних спайках
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