e08ca9722814b43c4615b546c815921fe26f3090
Recently, class="ltx_title_section">
Recently, Lynch and Houghton (2015) developed a method to predict in vivo
response of auditory neurons using an estimated spectrotemporal
receptive field (STRF) filter combined with an integrate-and-fire neuron
model based on the Izhikevich neuron (Izhikevich, 2003). This model
...
which strikes a balance between the limited parameter sets of the
integrate-and-fire models and the biological realism of the
Hodgkin-Huxley ion current models (Hodgkin & Huxley, 1952). The
feature space is explored by emcee (Foreman-Mackey et al., 2013), a Python implementation of a Markov chain Monte Carlo (MCMC), to find a local optima using the computationally efficient SPIKE
synchronization SPIKY synchronization metric (Kreuz et al., 2015) as the fitness function.
This combination of algorithms is first tested on simulated data with
known parameters, and then validated on a real data set recorded in vivo from auditory neurons in the zebra finch (Taeniopygia guttata).