Struct NeuromodulatorGainCurves 

pub struct NeuromodulatorGainCurves {
    pub dopamine: ModulatorGainCurves,
    pub cortisol: ModulatorGainCurves,
    pub acetylcholine: ModulatorGainCurves,
    pub tempo: ModulatorGainCurves,
}

Per-neuromodulator gain curves composing into EncodingGains.

Default curves are all identity (no modulation).

Examples

use axon_encoder::prelude::*;

let curves = NeuromodulatorGainCurves {
    tempo: ModulatorGainCurves {
        sensitivity: Some(GainCurve::new((0.0, 1.0), (1.0, 2.0))),
        ..Default::default()
    },
    ..Default::default()
};
let mods = NeuroModulators {
    tempo: 1.0,
    ..Default::default()
};
let gains = curves.evaluate(&mods);
assert!(gains.sensitivity_scale > 1.0);

Fields

dopamine: ModulatorGainCurves

cortisol: ModulatorGainCurves

acetylcholine: ModulatorGainCurves

tempo: ModulatorGainCurves

Implementations

impl NeuromodulatorGainCurves

pub fn evaluate(&self, modulators: &NeuroModulators) -> EncodingGains

Trait Implementations

impl Clone for NeuromodulatorGainCurves

fn clone(&self) -> NeuromodulatorGainCurves

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for NeuromodulatorGainCurves

impl Debug for NeuromodulatorGainCurves

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for NeuromodulatorGainCurves

fn default() -> NeuromodulatorGainCurves

Returns the “default value” for a type.

impl PartialEq for NeuromodulatorGainCurves

fn eq(&self, other: &NeuromodulatorGainCurves) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for NeuromodulatorGainCurves