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. Author manuscript; available in PMC: 2009 Dec 29.
Published in final edited form as: Neural Comput. 2009 Jul;21(7):1797–1862. doi: 10.1162/neco.2009.06-08-799

Figure 8.

Figure 8

Real-world MUA spike trains of eight tetrodes recorded from the primary somatosensory cortex of one rat (note that each tetrode might contain varying number of single cells). (a) A selected 5 s segment of the MUA spike trains during SWS and its UP and DOWN state classification via the threshold-based method (segmented by the thick solid line). (b) The hidden state estimation result obtained from the discrete-time HMM (used as the initial state for the continuous-time RJMCMC sampler). (c) The hidden state estimation obtained from the MCEM algorithm. In this example, the MCEM algorithm merged several neighboring sojourns that were decoded differently from the HMM.