Toolkit/compressed sensing-based approach
compressed sensing-based approach
Also known as: compressed sensing, methods based on compressed sensing
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
We overcame this challenge using methods based on compressed sensing to efficiently determine the roles of individual neuron types in learned avoidance behavior.
Usefulness & Problems
No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.
Published Workflows
Objective: Identify neural circuitry that integrates prior pathogen exposure to modify learned avoidance behavior in Caenorhabditis elegans.
Why it works: The paper states that compressed sensing made an otherwise infeasible systematic screen efficient, and that calcium imaging plus optogenetic perturbations then determined neural dynamics for a key behavioral transition.
Stages
- 1.Compressed sensing-based circuit screen(broad_screen)
This stage exists to make systematic circuit screening feasible and efficient in the learned pathogen avoidance context.
Selection: Determine roles of individual neuron types in learned avoidance behavior.
- 2.Mechanistic analysis of stalled re-entry(functional_characterization)
This stage exists to move from screen-level neuron identification to mechanistic understanding of one key behavioral transition after infection.
Selection: Determine neural dynamics regulating stalled re-entry into bacterial lawns after infection.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete computational method used to design, rank, or analyze an engineered system.
Target processes
recombinationselectionValidation
Supporting Sources
Ranked Claims
Calcium imaging of freely behaving animals and optogenetic perturbations identified neural dynamics regulating stalled re-entry into bacterial lawns after infection.
Using calcium imaging of freely behaving animals and optogenetic perturbations, we determined the neural dynamics that regulate one key behavioral transition after infection: stalled re-entry into bacterial lawns.
A compressed sensing-based approach enabled efficient determination of the roles of individual neuron types in learned avoidance behavior.
We overcame this challenge using methods based on compressed sensing to efficiently determine the roles of individual neuron types in learned avoidance behavior.
The screen identified distinct sets of neurons that drive exit from pathogenic bacterial lawns and prevent lawn re-entry.
Our screen revealed that distinct sets of neurons drive exit from lawns of pathogenic bacteria and prevent lawn re-entry.
Approval Evidence
We overcame this challenge using methods based on compressed sensing to efficiently determine the roles of individual neuron types in learned avoidance behavior.
Source:
A compressed sensing-based approach enabled efficient determination of the roles of individual neuron types in learned avoidance behavior.
We overcame this challenge using methods based on compressed sensing to efficiently determine the roles of individual neuron types in learned avoidance behavior.
Source:
The screen identified distinct sets of neurons that drive exit from pathogenic bacterial lawns and prevent lawn re-entry.
Our screen revealed that distinct sets of neurons drive exit from lawns of pathogenic bacteria and prevent lawn re-entry.
Source:
Comparisons
No literature-backed comparison notes have been materialized for this record yet.
Ranked Citations
- 1.