Supporting Materials: Photon shot noise limits on optical detection of neuronal spikes and estimation of spike timing
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چکیده
a linear combination of the Poisson-distributed variables, fn. We rewrite the log-likelihood ratio in terms of sn ≡ (A/F0) τν ( e − 1 ) e−n/(τν). Most calculations in this paper rely on taking series approximations in sn and performing the summations to leading order. This approach is valid as long as A < F0, since τν ( e − 1 ) e−n/(τν) is bounded above by 1 for n ≥ 1, and the interval of convergence for the series expansion of log (1 + x) is −1 < x ≤ 1. The mean, μ, and variance, σ, of the distribution of L(f) under the null hypothesis H of no spike having occurred are given by
منابع مشابه
Photon shot noise limits on optical detection of neuronal spikes and estimation of spike timing.
Optical approaches for tracking neural dynamics are of widespread interest, but a theoretical framework quantifying the physical limits of these techniques has been lacking. We formulate such a framework by using signal detection and estimation theory to obtain physical bounds on the detection of neural spikes and the estimation of their occurrence times as set by photon counting statistics (sh...
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Background: Studying the behavior of a society of neurons, extracting the communication mechanisms of brain with other tissues, finding treatment for some nervous system diseases and designing neuroprosthetic devices, require an algorithm to sort neuralspikes automatically. However, sorting neural spikes is a challenging task because of the low signal to noise ratio (SNR) of the spikes. The mai...
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تاریخ انتشار 2012