Module network_runner 

High-performance network simulation backend.

Replaces the Python per-neuron loop with Rayon-parallel Rust execution over CSR-stored projections and heterogeneous neuron populations.

Macros

all_variants 🔒

All variant names in one place for the dispatch macros.

dispatch_reset 🔒

dispatch_step 🔒

wrap_2arg_f64 🔒

Wrapper: multi-input spiking model → single-input interface. Extra inputs default to 0/false when driven from the network runner.

wrap_3arg 🔒

Wrapper: 3-arg model → single-input interface.

wrap_graded 🔒

Wrapper: f64-output (rate/graded) → i32 spike interface via thresholding.

wrap_i32_input 🔒

Wrapper: i32-input model → f64-input interface.

Structs

NetworkRunner

PopulationRunner

ProjectionRunner

CSR-stored synaptic projection with optional axonal delay.

SimResults

WrAlpha

WrAstrocyte

WrCOBALIF

WrCompteWM

WrConePhotoreceptor

WrHayL5

WrInnerHairCell

WrIntegerQIF

WrLoihi2

WrLoihiCUBA

WrOuterHairCell

WrPinskyRinzel

WrRodPhotoreceptor

WrSigmoidRate

WrSpiNNaker2

WrTasteReceptor

WrThresholdLinear

WrTrueNorth

WrTsodyksMarkram

WrTwoCompLIF

Enums

NeuronVariant

Enum dispatch across all neuron models.

Constants

CHUNK_SIZE 🔒

Functions

create_neuron

create_population

Create a population of n identical neurons by model name.

supported_models

List all supported model names.