Module ei_network 

Fused E-I balanced LIF network simulation in f64 arithmetic.

Runs a complete excitatory-inhibitory network with CSR weight matrix, Poisson external drive, and spike-scatter coupling in a single Rust call — no per-step Python overhead.

Synapses are delta synapses in the sense of Brunel (2000, J. Comput. Neurosci. 8:183): a presynaptic spike moves the postsynaptic membrane by its weight in millivolts, one step later. Every neuron also receives EXTERNAL_SYNAPSES independent excitatory Poisson inputs, each firing at ext_rate Hz and moving the membrane by EXTERNAL_WEIGHT_MV. The external drive alone reaches threshold at about 9.4 Hz per input (15 mV / (0.1 mV x 800 x 20 ms)).

An earlier version multiplied each jump by the step size, so a spike moved the membrane by weight x dt (0.01 mV for the default E-to-E weight at dt = 0.1 ms), and the external drive was one input per neuron: no setting of the Studio’s controls produced a single spike.

Structs

EIResult

Result of an E-I network simulation.

Constants

EXTERNAL_SYNAPSES

Independent external excitatory Poisson inputs per neuron.

EXTERNAL_WEIGHT_MV

Membrane jump caused by one external input spike, in millivolts.

Functions

simulate_ei

Run a complete E-I balanced LIF network simulation.