Slot: reset_state

Start this stage from the model’s declared initial conditions rather than the previous stage’s endpoint. The update rules’ tuned targets always cross the stage boundary; what resets is the dynamical state — state variables, delay and coupling history, observation window buffers and monitors — and the noise stream, which restarts from the run’s seed so each stage samples the same realisation. False, the default, makes the schedule one continuous trajectory; true makes each stage an independent simulation warm-started from the parameters learned so far.

URI: tvbo:slot/reset_state

Applicable Classes

Name Description Modifies Slot
AlgorithmStage One stage of a multi-stage tuning schedule no

Properties

Type and Range

Property Value
Range xsd:boolean
Domain Of AlgorithmStage

Cardinality and Requirements

Property Value

Slot Characteristics

Property Value
If Absent False
Owner AlgorithmStage

Identifier and Mapping Information

Schema Source

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

Mappings

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

LinkML Source

name: reset_state
description: Start this stage from the model's declared initial conditions rather
  than the previous stage's endpoint. The update rules' tuned targets always cross
  the stage boundary; what resets is the dynamical state — state variables, delay
  and coupling history, observation window buffers and monitors — and the noise stream,
  which restarts from the run's seed so each stage samples the same realisation. False,
  the default, makes the schedule one continuous trajectory; true makes each stage
  an independent simulation warm-started from the parameters learned so far.
from_schema: https://w3id.org/tvbo
rank: 1000
ifabsent: 'False'
owner: AlgorithmStage
domain_of:
- AlgorithmStage
range: boolean