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BrunelNetwork

Struct BrunelNetwork 

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pub struct BrunelNetwork {
    neurons: Vec<FixedPointLif>,
    prev_spikes: Vec<bool>,
    w_row_offsets: Vec<usize>,
    w_col_indices: Vec<usize>,
    w_values: Vec<i16>,
    n_neurons: usize,
    leak_k: i16,
    gain_k: i16,
    ext_lambda: f64,
    ext_weight_fp: i16,
    rng: Xoshiro256PlusPlus,
}
Expand description

Brunel balanced network with CSR connectivity and Poisson drive.

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§neurons: Vec<FixedPointLif>§prev_spikes: Vec<bool>§w_row_offsets: Vec<usize>§w_col_indices: Vec<usize>§w_values: Vec<i16>§n_neurons: usize§leak_k: i16§gain_k: i16§ext_lambda: f64§ext_weight_fp: i16§rng: Xoshiro256PlusPlus

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impl BrunelNetwork

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pub fn new( n_neurons: usize, w_row_offsets: Vec<usize>, w_col_indices: Vec<usize>, w_values: Vec<i16>, data_width: u32, fraction: u32, v_rest: i16, v_reset: i16, v_threshold: i16, refractory_period: i32, leak_k: i16, gain_k: i16, ext_lambda: f64, ext_weight_fp: i16, seed: u64, ) -> Result<Self, String>

Build from CSR arrays and neuron parameters.

w_row_offsets: length n_neurons+1 w_col_indices, w_values: length nnz, values in Q8.8

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pub fn run(&mut self, n_steps: usize) -> Vec<u32>

Run n_steps of the full Brunel simulation. Returns spike counts per step.

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pub fn total_spikes(&self, counts: &[u32]) -> u64

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