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Spike trains of individual neurons can be recorded in awake behaving subjects using extracellular electrodes that are chronically implanted into the brain. Analyzing the information contained in these spike trains involves multiple steps, the first one being spike detection. In one widely used method, all spikes that exceed a researcher-defined threshold are treated as action potential candidates...
Single unit action potentials that are found in extracellular neural recordings are often detected using a threshold. The threshold is usually computed as proportional to the standard deviation of the entire recording. Such thresholds increase with firing rate. Here, the firing rate dependence of “truncation thresholds”, which are thresholds that are computed using a different approach, is investigated...
Neuronal spike detection is an essential pre-processing step for the analysis of extracellular brain signals in neuroscience. In resonance based signal decomposition, analyzed signal can be expressed as the sum of a ‘high-resonance’ and ‘low-resonance component’. A high-resonance component can be thought as a signal consisting of sustained oscillations and a low-resonance component can be thought...
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