BRUCE2018_SYNAPSE - synapse model proposed by Bruce et al. (2018)

Usage

[psth, meanrate, varrate, synout, trd_vector, trel_vector] = bruce2018_synapse(vihc, fc, nrep, dt, noisetype, implnt, spont, tabs, trel)

`vihc`	the inner hair cell (IHC) relative transmembrane potential [V]
`fc`	vector of center frequencies [Hz]
`nrep`	number of stimulus repetitions (about 10 - 200)
`dt`	discrete time distance, 1/sampling frequency, needs to be either 100, 200, or 500 kHz
`noiseType`	"variable" or "fixed (frozen)" fGn: 1 for variable fGn and 0 for fixed (frozen) fGn
`implnt`	"approxiate" or "actual" implementation of the power-law functions: "0" for approx. and "1" for actual implementation
`spont`	nerve fibres
`tabs`	absolute timing info
`trel`	relative timing info

`psth`	the peri-stimulus time histogram (PSTH) (or a spike train if nrep = 1)
`meanrate`	mean spiking rate
`varrate`	variable spiking rate
`synout`	synapse output
`trd_vector`	refractory period
`trel_vector`	relative refractory period

bruce2018_synapse calculates the output of the synapse model by Bruce et al. (2018) and several associated parameters