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

`CF`	optional struct, holds the filterbank design and state
`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` model 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

lyon2011 runs the CARFAC model. That is, it filters a 1 or more channel sound input to make one or more neural activity patterns (naps).

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.

References: