Digital filters for firing rate estimation
Biological Cybernetics
Disambiguating different covariation types
Neural Computation
Correlations without synchrony
Neural Computation
Numerical Recipes in Pascal: The Art of Scientific Computing
Numerical Recipes in Pascal: The Art of Scientific Computing
BAYES AND EMPIRICAL BAYES METHODS FOR DATA ANALYSIS
Statistics and Computing
Mean instantaneous firing frequency is always higher than the firing rate
Neural Computation
Determining burst firing time distributions from multiple spike trains
Neural Computation
First-spike latency in the presence of spontaneous activity
Neural Computation
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It is often of interest experimentally to assess how synchronization between two neurons changes following a stimulus or other behaviorally relevant marker. The joint peristimulus time histogram (JPSTH) achieves this, but assumes that changes in the cells' firing rate following the stimulus are stereotyped from one sweep to the next. Erroneous results can be generated if this is not the case. We here present a method to assess whether there are variations in response latency or amplitude from sweep to sweep. We then describe how the effects of response latency variation can be mitigated by realigning sweeps to their individual latencies. Three methods of detecting response latency are presented and their performance compared on simulated data. Finally, the effect on the JPSTH of sweep realignment using detected latencies is illustrated.