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Spike-triggered covariance (STC) is a computational technique used in neuroscience to analyze how the spiking activity of a neuron's action potentials (or 'spikes') relates to the sensory stimuli that the neuron receives. The method helps to identify the preferred stimulus features that drive neuron firing. ### Key Concepts of Spike-Triggered Covariance: 1. **Spike Train:** The sequence of spikes emitted by a neuron over time in response to stimuli.

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  1. Computational neuroscience
  2. Mathematical and theoretical biology
  3. Applied mathematics
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