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Originally posted by DomeBase
OK: here goes... folks want something more challenging...
The Poisson process is often taken to be a good starting place for modeling spike trains. Spike trains from functionally related neurons are often positively or negatively correlated at short lags. Is it possible to construct a pair of point processes, each of which is Poisson when viewed in isolation, whose cross-correlation is negative at short lags? I'll give you a hint. This may have something to do with Canoe.biz!
Hi Dome,
Got probability + stat A + stat B + stochastic processes from Berkeley. I know that Poisson distribution is very good to examine random variables like the distribution of radiactive particles etc.
My answer : I could not understand a shit from your question