AffIb__Pool#

class AffIb__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] = (64 * pq.m / pq.s, 72 * pq.m / pq.s), axon_length__mm: Quantity__mm = 0.6 * pq.mm, poisson_batch_size: int = 145, init_order: int = 0, )[source]#

Container for a population of afferent Ib neurons.

Manages a collection of AffIb (type Ib afferent) cells that provide primary proprioceptive feedback from Golgi tendon organs to spinal circuits.

Parameters:

n (int) – Number of type Ib afferent neurons to create.
recruitment_thresholds (tuple[float, float]) – Min and max recruitment thresholds (Hz).
axon_velocities (tuple[float, float]) – Min and max axon conduction velocities (m/s).
axon_length (float) – Length of the axon (mm).
poisson_batch_size (int) – Batch size for exponential threshold generation algorithm.
timestep__ms (float) – Time step for simulation (ms).
init_order (int) – Initial order parameter for afferent initialization.
axon_velocities__m_per_s (tuple[Annotated[Quantity, IsAttr['dimensionality', IsAttr['unicode', IsEqual['m/s']]]], Annotated[Quantity, IsAttr['dimensionality', IsAttr['unicode', IsEqual['m/s']]]]])
axon_length__mm (Annotated[Quantity, IsAttr['dimensionality', IsAttr['unicode', IsEqual['mm']]]])

Methods

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