Spike Train Analysis
نویسنده
چکیده
Sequences of action potentials are the basis for our perception of the world. E.g., all information about the visual world is transmitted by action potentials of retinal ganglion cells from the eye to the brain. However, responses to identical stimulation can be very variable. Which features of the spike sequences of neuronal populations are most important to encode sensory information is still a matter of intense scientific debate. To address this question, the activity of neurons is recorded in electrophysiological experiments. Based on this data, computational methods are applied to reconstruct the stimulus that was present during the recording. In this tutorial, we will use the example of multi-electrode recordings from retinal ganglion cells. During the experiments, the retina was stimulated with a moving pattern. The goal of the analyses techniques introduced here is to reconstruct the velocity of the moving stimulus from the retinal ganglion cell responses. After a short summary of the basic methods of sampling rate, spike rate, population responses and stimulus tuning, two more advanced data analysis techniques are introduced: Bayesian stimulus reconstruction is used to analyze rate coding based on a population of simultaneously recorded neurons. Metric based clustering is a computationally more expensive technique which allows conclusions about relevant time scales of encoding for single neurons or a small number of cells.
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تاریخ انتشار 2009