Struct HebbianRule 

pub struct HebbianRule {
    pub learning_rate: f64,
    pub normalize: bool,
    pub w_min: f64,
    pub w_max: f64,
}

Hebbian learning rule.

Classic Hebbian learning: “Cells that fire together, wire together.”

Δw = η * x * y

Fields

learning_rate: f64

Learning rate.

normalize: bool

Whether to normalize weights.

w_min: f64

Minimum weight.

w_max: f64

Maximum weight.

Implementations

impl HebbianRule

pub fn new() -> Self

Create new Hebbian rule with default parameters.

pub fn normalized(self) -> Self

Create normalized Hebbian rule.

pub fn update( &mut self, pre_activity: f64, post_activity: f64, current_weight: f64, dt: f64, ) -> f64

Update synaptic weight using Hebbian rule.

Arguments

• pre_activity - Presynaptic activity
• post_activity - Postsynaptic activity
• current_weight - Current synaptic weight
• dt - Time step (ms)

Trait Implementations

impl Clone for HebbianRule

fn clone(&self) -> HebbianRule

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for HebbianRule

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

Formats the value using the given formatter.

impl Default for HebbianRule

fn default() -> Self

Returns the “default value” for a type.