LYON2011 - Cascade of asymmetric resonators with fast-acting compression (CARFAC) model

Usage

[CF, decim_naps, naps, BM, ohc, agc] = lyon2011(CF, input_waves, AGC_plot_fig_num, open_loop);

Input parameters

input_waves

input_waves is a column vector if there's just one audio channel; more generally, it has a row per time sample, a column per audio channel. The input_waves are assumed to be sampled at the same rate as the CARFAC is designed for. A resampling may be needed before calling this.

Output parameters

`CF`	The CF struct holds the filterbank design and state; if you want to break the input up into segments, you need to use the updated CF to keep the state between segments.
`decim_naps`	decim_naps is like naps but time-decimated by the int CF.decimation.
`naps`	naps (neural activity patterns) has a row per time sample, a column per filterbank channel, and a layer per audio channel if 'CF, AGC_plot_fig_num, open_loop > 1'.
`BM`	BM is basilar membrane motion (filter outputs before detection).
`ohc`	optional extra output for diagnosing internals.
`agc`	optional extra outputs for diagnosing internals.

Description

Additional input parameters:

'CF',CF

The CF struct holds the filterbank design and state; if you want to break the input up into segments, you need to use the updated CF to keep the state between segments.

'AGC_plot_fig_num=fn Plot automatic gain control figure. Default is 0.'

Flags: 'open_loop Use model with open loop. Default is 0.'

LYON2011 runs the CARFAC. That is, filters a 1 or more channel sound input to make one or more neural activity patterns (naps).

References: