- Poster presentation
- Open Access
Variable bin size selection for periestimulus time histograms (PSTH) with minimum mean square error criteria
© Heidarieh et al. 2015
- Published: 18 December 2015
- Cost Function
- Response Magnitude
- Time Histogram
- Simultaneous Perturbation Stochastic Approximation
- Size Approach
To date the most common method for extracting neuronal responses is by constructing PSTHs that are time locked to task events. Many parameters of interests such as response magnitude, onset and duration are then calculated from the constructed PSTHs. However the precision of PSTH response estimate critically depends on the choice of bin sizes. This dependence demands objective criteria for bin size selection. A seminal study by Shimazaki and Shinomoto  derived an optimal cost function for choosing a fixed bin size for a time varying Poisson process. It is easy to see that using a one-size-fit-all recipe for bin sizes will invariably overestimate and underestimate rate changes for fast and slow fluctuations respectively.
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