Struct SpikingNetwork 

pub struct SpikingNetwork {
    pub config: NetworkConfig,
    /* private fields */
}

A spiking neural network

Fields

config: NetworkConfig

Configuration

Implementations

impl SpikingNetwork

pub fn new(config: NetworkConfig) -> Self

Create a new spiking network from configuration

pub fn from_graph(graph: &DynamicGraph, config: NetworkConfig) -> Self

Create network with topology matching a graph

pub fn reset(&mut self)

Reset network state

pub fn num_layers(&self) -> usize

Get number of layers

pub fn layer_size(&self, layer: usize) -> usize

Get layer size

pub fn current_time(&self) -> SimTime

Get current simulation time

pub fn inject_current(&mut self, currents: &[f64])

Inject current to input layer

pub fn step(&mut self) -> Vec<Spike>

Run one integration step Returns spikes from output layer

pub fn run_until_decision(&mut self, max_steps: usize) -> Vec<Spike>

Run until a decision is made (output neuron spikes)

pub fn layer_rate(&self, layer: usize, window: f64) -> f64

Get population firing rate for a layer

pub fn global_synchrony(&self) -> f64

Get global synchrony

pub fn synchrony_matrix(&self) -> Vec<Vec<f64>>

Get synchrony matrix (pairwise correlation)

pub fn get_output(&self) -> Vec<f64>

Get output layer activities

pub fn apply_reward(&mut self, reward: f64)

Apply reward signal for R-STDP

pub fn low_activity_regions(&self) -> Vec<usize>

Get low-activity regions (for search skip optimization)

pub fn sync_to_graph(&self, graph: &mut DynamicGraph)

Sync first layer weights back to graph

Trait Implementations

impl Clone for SpikingNetwork

fn clone(&self) -> SpikingNetwork

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SpikingNetwork

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

Formats the value using the given formatter.