Related Experiment Video
Updated: Jan 25, 2026

09:23
Functional Analysis of the Larval Feeding Circuit in Drosophila
Published on: November 19, 2013
10.7K
Feeding Behavior Survival Circuit: Anticipation & Competition
1Department of Psychology, Boston College, Chestnut Hill, MA,USA.
Current Opinion in Behavioral Sciences
|May 16, 2019
Summary
Organisms must balance feeding with threat avoidance for survival. Cognitive processes help regulate feeding behavior by assessing internal drives and environmental cues, especially under threat.
Area of Science:
- Neuroscience
- Behavioral Biology
- Cognitive Science
Background:
- Feeding is crucial for survival, replenishing energy and nutrients.
- Feeding behavior is prioritized in safe environments but paused under threat.
- Adaptive control using cognitive processes is essential for successful feeding.
Purpose of the Study:
- To discuss key neural circuit components involved in feeding behavior.
- To explore how food memories and predictions influence feeding decisions.
- To examine the resolution of competition between feeding and threat avoidance.
Main Methods:
- Review of recently identified neural circuit components.
- Analysis of cognitive processes in feeding behavior regulation.
- Discussion within a connectional schema framework.
Main Results:
- Identification of key circuit components for anticipatory feeding responses.
- Understanding the role of cognitive processes in dynamic drive assessment.
- Elucidation of mechanisms resolving feeding versus threat avoidance conflicts.
Conclusions:
- Successful feeding requires adaptive cognitive control integrating internal states and external cues.
- Neural circuits play a critical role in modulating feeding based on survival priorities.
- Understanding these circuits is key to comprehending motivated behaviors.
Related Concept Videos
Competition
24.4K
When organisms require the same limited resources within an environment, they may have to compete for them. Competition is a net-negative interaction. Even if two competing individuals or populations do not interact directly, the overall fitness of both competitors is lowered as a result of not having full access to the limited resource.
24.4K
What is Behavior?
10.2K
Behaviors are actions that an organism engages in—they can be related to finding food, reproducing, defending against threats, and many other possible actions. Behaviors include activities related to the environment around the animal—such as migration—as well as social interactions within a species or population. Many behaviors involve motor output—that is, muscle movements—while others involve less visible actions, such as learning.
10.2K
Survival Tree
410
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
410
Survival Curves
686
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
686
Introduction To Survival Analysis
766
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
766
Comparing the Survival Analysis of Two or More Groups
581
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
581

