Sackett DL. Efficacy of antidepressants in juvenile depression: meta-analysis. J Clin Psychiatry 2013;74(5):479-481 (doi:10.4088/JCP.13f08475). We found that S^NRHdB estimates (from Eq. Unfortunately, this problem is commonly encountered in scientific writing. Using point process generalized linear models, we extend the standard definition to one appropriate for single neurons. 6 measure the intrinsic spiking propensity of the neuron, whereas the second term measures the effect of the stimulus or signal on the neurons spiking propensity. Hence, it is possible to compute analytically the SNR and the bias in the estimates. The numerator of our GLM SNR estimate (Eq. 3 C and D). These and other explanations have been discussed elsewhere.6,7 A clear, practical discussion on the subject is also available on the Web.8. Why randomized controlled trials fail but needn't: 2. In words, the dependence of confidence is high if the noise is low and/or the sample size is large and/or the effect size (signal) is large. PubMed doi:10.1371/journal.pmed.0050045, 2. The residual deviance may be viewed as an estimated KL divergence between data and model (26). During the experiment, two to four novel scenes were presented along with two to four well-learned scenes in an interleaved random order. 4) to represent, simultaneously, background spiking activity, the stimulus or signal effect, and the intrinsic dynamics of the neuron. (D) Forty trials of spiking activity recorded from a subthalamic nucleus neuron in a Parkinson's disease patient before and after a hand movement in each of four directions (dir. The vertical lines in rows 3 and 4 are the true SNRs. Accessed March 18, 2013. Using point process models to compare neural spiking activity in the subthalamic nucleus of Parkinsons patients and a healthy primate. Assessment Methods , Research Methods Statistics, Physicians Postgraduate Press, Inc. Start studying Lec. In analyses of four neural systems, we show that single-neuron SNRs range from 29 dB to 3 dB and that spiking history is often a more informative predictor of spiking propensity than the signal being represented. Does reduction in noise through improvement in reliability really make a different to the conduct of clinical trials? Armstrong suggests authors should avoid tests of statistical significance; instead, they should report on effect sizes, confidence intervals, replications/extensions, and meta-analyses. We assume that on an observation interval (0,T], we record spikes at times 0
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