Slot: system_size

_System size (van Kampen Ω) for the stochastic ‘gillespie’ backend: the number of discrete units per unit of the activity variable, and the sole source of noise. Runs a mean-field rate model as a finite birth-death process (Gillespie SSA): the activity state variable X becomes a discrete count n ≈ Ω·X, its relaxation equation tau*X’ = -X + F(…) is read as birth propensity Ω·F/tau (the gain) and death propensity n/tau (the leak), while the remaining state variables integrate deterministically between events. Larger Ω means finer discreteness and weaker fluctuations, recovering the deterministic mean field as Ω→∞. For an activity already expressed as a fraction in [0,1], Ω is the population size N; for a firing rate it is N divided by the rate at full activation. Required by the ‘gillespie’ backend; ignored by every other backend._

URI: tvbo:slot/system_size

Applicable Classes

Name Description Modifies Slot
ExecutionConfig Configuration for computational execution (parallelization, precision, hardwa… no

Properties

Type and Range

Property Value
Range xsd:float
Domain Of ExecutionConfig

Cardinality and Requirements

Property Value

Slot Characteristics

Property Value
Owner ExecutionConfig

Identifier and Mapping Information

Schema Source

  • from schema: https://w3id.org/tvbo

Mappings

Mapping Type Mapped Value
self tvbo:system_size
native tvbo:system_size

LinkML Source

name: system_size
description: 'System size (van Kampen Ω) for the stochastic ''gillespie'' backend:
  the number of discrete units per unit of the activity variable, and the sole source
  of noise. Runs a mean-field rate model as a finite birth-death process (Gillespie
  SSA): the activity state variable X becomes a discrete count n ≈ Ω·X, its relaxation
  equation tau*X'' = -X + F(...) is read as birth propensity Ω·F/tau (the gain) and
  death propensity n/tau (the leak), while the remaining state variables integrate
  deterministically between events. Larger Ω means finer discreteness and weaker fluctuations,
  recovering the deterministic mean field as Ω→∞. For an activity already expressed
  as a fraction in [0,1], Ω is the population size N; for a firing rate it is N divided
  by the rate at full activation. Required by the ''gillespie'' backend; ignored by
  every other backend.'
from_schema: https://w3id.org/tvbo
rank: 1000
owner: ExecutionConfig
domain_of:
- ExecutionConfig
range: float