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SUMMARY:Neural Spiking — Branching vs. Poisson Dynamic - Johannes Pausch
 \, DAMTP
DTSTART:20200609T120000Z
DTEND:20200609T130000Z
UID:TALK140206@talks.cam.ac.uk
CONTACT:Professor Mike Cates
DESCRIPTION:Critical branching processes and Poisson dynamics are the two 
 prevailing models for the stochastic processes observed in neural circuits
 . However\, they cannot be compared directly. The spiking process is inten
 sely processed to generate a branching-like time series which requires var
 ious thresholds and binning. It has been shown that some results depend on
  the choices made in the processing of the original spike data and spuriou
 s effects might alter outcomes.\n\nIn my talk\, I will provide a solution 
 to this uncertainty due to the spike processing by circumventing it altoge
 ther. I will introduce and characterize the pumped branching process which
  can be tuned at will between critical branching and Poisson dynamics and 
 present an analytical derivation of the corresponding spike statistics. Fu
 rthermore\, I will compare results to experimental spike data and identify
  the parameters of the process\, confirming that the spiking activity is i
 n the reverberating regime
LOCATION:Zoom: https://zoom.us/j/5916271322 Meeting ID: 591-627-1322
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