Waiting times in cyclical HMMs: modeling neuronal refractoriness

Cyclical Hidden Markov models (HMMs) can be used to sort spikes. For example, in Herbst et al. (2008), wideband data is assumed to be generated by an HMM, where for most of the time the HMM is in the rest state, and with small probability jumps to the spike initiation state. Once it’s in the … More Waiting times in cyclical HMMs: modeling neuronal refractoriness

Estimating a PSTH with Bayesian splines (BARS)

The PSTH (post-stimulus time histogram) summarizes the timing of neuronal spikes following a stimulus. When few trials are available, or the neuron being recorded seldom fires, the PSTH can be quite noisy. Thus, the PSTH is frequently smoothed with a Gaussian kernel — for example, to reliably estimate the latency of the response. It is … More Estimating a PSTH with Bayesian splines (BARS)