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TUMNetwork

sc_neurocore_engine::neurons::population

Struct TUMNetwork 

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pub struct TUMNetwork {
Show 13 fields
    pub r: f64,
    pub x: f64,
    pub u: f64,
    pub j: f64,
    pub u_base: f64,
    pub tau: f64,
    pub tau_d: f64,
    pub tau_f: f64,
    pub threshold: f64,
    pub gain_phi: f64,
    pub dt: f64,
    pub r_threshold: f64,
    pub gain: f64,

}
Expand description

TUM 2000 — mean-field network with short-term synaptic plasticity.

Population rate equation coupled with Tsodyks-Markram STP dynamics (synaptic depression and facilitation). The effective synaptic weight is uxJ, where u = utilisation (facilitation) and x = available resources (depression).

tau * dr/dt = -r + phi(u * x * J * r + I) dx/dt = (1 - x) / tau_d - u * x * r (depression) du/dt = (U - u) / tau_f + U * (1 - u) * r (facilitation)

Tsodyks, Uziel & Markram, J Neurosci 20:RC50, 2000.

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§r: f64§x: f64§u: f64§j: f64§u_base: f64§tau: f64§tau_d: f64§tau_f: f64§threshold: f64§gain_phi: f64§dt: f64§r_threshold: f64§gain: f64

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impl TUMNetwork

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pub fn new() -> Self

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fn phi(&self, x: f64) -> f64

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pub fn step(&mut self, current: f64) -> i32

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pub fn reset(&mut self)

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impl Clone for TUMNetwork

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fn clone(&self) -> TUMNetwork

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for TUMNetwork

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

Formats the value using the given formatter. Read more
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impl Default for TUMNetwork

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fn default() -> Self

Returns the “default value” for a type. Read more

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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