Optimizing Time Histograms for Non-Poissonian Spike Trains
نویسندگان
چکیده
منابع مشابه
Optimizing Time Histograms for Non-Poissonian Spike Trains
The time histogram is a fundamental tool for representing the inhomogeneous density of event occurrences such as neuronal firings. The shape of a histogram critically depends on the size of the bins that partition the time axis. In most neurophysiological studies, however, researchers have arbitrarily selected the bin size when analyzing fluctuations in neuronal activity. A rigorous method for ...
متن کاملModeling and analyzing higher-order correlations in non-Poissonian spike trains.
Measuring pairwise and higher-order spike correlations is crucial for studying their potential impact on neuronal information processing. In order to avoid misinterpretation of results, the tools used for data analysis need to be carefully calibrated with respect to their sensitivity and robustness. This, in turn, requires surrogate data with statistical properties common to experimental spike ...
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PST (post-stimulus time) and interval histograms computed from recorded spike trains are related to an average timing characteristics of the spike train. The exact nature of this relationship varies with recording parameters, interfering signals, the histogram bin width, and the duration of the measurement interval. This work describes the conditions under which a PST histogram can serve as an ...
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Spike-producing neurons produce complex responses to stationary input trains. These responses have been described using techniques from the field of nonlinear dynamics, and are typical of those from periodically perturbed nonlinear oscillators. Here we are concerned with the effects of nonstationary input trains. We present recent simulation results, largely in agreement with experimental resul...
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Activity of populations of sensory neurons carries stimulus information in both the temporal and the spatial dimensions. This poses the question of how to compactly represent all the information that the population codes carry across all these dimensions. Here, we developed an analytical method to factorize a large number of retinal ganglion cells’ spike trains into a robust low-dimensional rep...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2011
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_00213