PSTH
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neurophysiology Neurophysiology is a branch of physiology and neuroscience concerned with the functions of the nervous system and their mechanisms. The term ''neurophysiology'' originates from the Greek word ''νεῦρον'' ("nerve") and ''physiology'' (whic ...
, peristimulus time histogram and poststimulus time histogram, both abbreviated PSTH or PST histogram, are
histogram A histogram is a visual representation of the frequency distribution, distribution of quantitative data. To construct a histogram, the first step is to Data binning, "bin" (or "bucket") the range of values— divide the entire range of values in ...
s of the times at which neurons fire. It is also sometimes called pre event time histogram or PETH. These histograms are used to visualize the rate and timing of neuronal spike discharges in relation to an external stimulus or event. The peristimulus time histogram is sometimes called perievent time histogram, and ''post-stimulus'' and ''peri-stimulus'' are often
hyphen The hyphen is a punctuation mark used to join words and to separate syllables of a single word. The use of hyphens is called hyphenation. The hyphen is sometimes confused with dashes (en dash , em dash and others), which are wider, or with t ...
ated. The prefix ''peri,'' for ''through,'' is typically used in the case of periodic stimuli, in which case the PSTH show neuron firing times wrapped to one cycle of the stimulus. The prefix ''post'' is used when the PSTH shows the timing of neuron firings in response to a stimulus event or onset. To make a PSTH, a spike train recorded from a single neuron is aligned with the onset, or a fixed phase point, of an identical stimulus repeatedly presented to an animal. The aligned sequences are superimposed in time, and then used to construct a histogram.


Construction procedure

# Align spike sequences with the onset of a stimulus that is repeated ''n'' times. For periodic stimuli, wrap the response sequence back to time zero after each time period ''T'', and count ''n'' as the total number of periods of data. # Divide the stimulus period or observation period ''T'' into ''N'' bins of size \Delta. # Count the number of spikes ''ki'' from all ''n'' sequences that fall in the bin ''i''. # Draw a bar-graph histogram with the bar-height of bin ''i'' given by \frac in units of estimated spikes per second at time i\ \Delta. The optimal bin size (assuming an underlying Poisson point process) Δ is a minimizer of the formula, (2k-v)/Δ2, where k and v are mean and variance of ki.


References

{{reflist Neurophysiology