AffIa__Pool

class AffIa__Pool(

n: int,

timestep__ms: Quantity__ms,

recruitment_thresholds: tuple[float, float] = (0, 40),

axon_velocities__m_per_s: tuple[Quantity__m_per_s, Quantity__m_per_s] = (61 * pq.m / pq.s, 75 * pq.m / pq.s),

axon_length__m: Quantity__m = 0.6 * pq.m,

poisson_batch_size: int = 145,

init_order: int = 0,

)

Bases: _Pool

Container for a population of afferent Ia neurons.

Manages a collection of AffIa (type Ia afferent) cells that provide proprioceptive feedback from muscle spindles to spinal circuits.

Parameters:

• n (int) – Number of type Ia afferent neurons to create.

• recruitment_thresholds (tuple[float, float]) – Min and max recruitment thresholds (Hz).

• axon_velocities__m_per_s (tuple[Quantity__m_per_s, Quantity__m_per_s]) – Min and max axon conduction velocities (m/s).

• axon_length__m (Quantity__m) – Length of the axon (m).

• poisson_batch_size (int) – Batch size for exponential threshold generation algorithm.

• timestep__ms (Quantity__ms) – Time step for simulation (ms).

• init_order (int) – Initial order parameter for afferent initialization.

Methods

__init__
get_initialization_data	Return sections and their initial voltages for NEURON simulation setup.