Search results
Results From The WOW.Com Content Network
The peristimulus time histogram is sometimes called perievent time histogram, and post-stimulus and peri-stimulus are often hyphenated. 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.
A further division by the interval length Δt yields time-dependent firing rate r(t) of the neuron, which is equivalent to the spike density of PSTH (Chapter 1.5 in [14]). For sufficiently small Δt, r(t)Δt is the average number of spikes occurring between times t and t+Δt over multiple trials.
MATLAB – programming language with statistical features; MedCalc – for biomedical sciences; Microfit – econometrics package, time series; Minitab – general statistics package; MLwiN – multilevel models (free to UK academics) Nacsport Video Analysis Software – software for analysing sports and obtaining statistical intelligence
5 Time series analysis. ... MATLAB: MathWorks R2020b (17 September 2020 ... Histogram Line chart Scatterplot Violin plot; ADaMSoft: Yes Yes
The top row is a series of plots using the escape time algorithm for 10000, 1000 and 100 maximum iterations per pixel respectively. The bottom row uses the same maximum iteration values but utilizes the histogram coloring method. Notice how little the coloring changes per different maximum iteration counts for the histogram coloring method plots.
Total stopping time is on the x axis, frequency on the y axis. Histogram of total stopping times for the numbers 1 to 10 9. Total stopping time is on the x axis, frequency on the y axis. Iteration time for inputs of 2 to 10 7. Total stopping time of numbers up to 250, 1000, 4000, 20000, 100000, 500000
function inputs and output: hists is a 2D-histogram of grayscale value and neighborhood average grayscale value pair. total is the number of pairs in the given image.it is determined by the number of the bins of 2D-histogram at each direction. threshold is the threshold obtained.
Histogram derived from the adapted cumulative probability distribution Histogram and probability density function, derived from the cumulative probability distribution, for a logistic distribution. The observed data can be arranged in classes or groups with serial number k. Each group has a lower limit (L k) and an upper limit (U k).