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NemoTrainer: Automated Conditioning for Stimulus-Directed Navigation and Decision Making in Free-Swimming Zebrafish.

Bishen J Singh1, Luciano Zu1, Jacqueline Summers1

  • 1Department of Neurology, Georgetown University Medical Center, Washington, DC 20057-1460, USA.

Animals : an Open Access Journal From MDPI
|January 8, 2023
PubMed
Summary
This summary is machine-generated.

We developed an automated system, NemoTrainer, for animal associative conditioning, reducing human intervention and bias. This novel apparatus enables precise control over training parameters for studying animal behavior and learning.

Keywords:
attentionauditory discriminationconditioningfishhearinglearningrewardsoftwarespatial working memoryvision

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Area of Science:

  • Behavioral Neuroscience
  • Animal Behavior
  • Neuroscience

Background:

  • Current animal conditioning methods are labor-intensive, stressful, and prone to experimenter bias.
  • There is a need for automated, less intrusive methods to study animal learning and behavior.
  • Spatial working memory, sensory processing, motivation, and attention are key components of associative learning.

Purpose of the Study:

  • To describe a novel, microcontroller-based apparatus and paradigm for automated associative conditioning in animals.
  • To minimize human intervention, reduce animal stress, and eliminate experimenter bias in conditioning studies.
  • To provide a flexible platform for precise control and tracking of animal learning and behavior.

Main Methods:

  • Developed a simple apparatus utilizing a glass tank, webcam, LEDs, and underwater transducer for stimulus presentation.
  • Implemented a microcontroller-based (Arduino) system with custom software ('Ardulink') for automated control of stimuli and rewards.
  • Utilized a Java-based user interface or Arduino script for precise scheduling of classical and operant conditioning paradigms.
  • Monitored fish-swimming behavior, including turning, location, and response times, for learning assessment.

Main Results:

  • The 'NemoTrainer' system successfully automates both classical and operant conditioning paradigms with minimal human intervention.
  • The apparatus allows for precise control over stimulus parameters (timing, location, intensity) and reward delivery.
  • Automated tracking of individual fish behavior enables detailed analysis of learning and performance comparisons.

Conclusions:

  • The described apparatus and conditioning paradigm offer a significant advancement over traditional methods for animal associative conditioning.
  • NemoTrainer facilitates objective, high-throughput studies of species-specific behaviors and the impact of various interventions.
  • This automated system has broad applications in behavioral neuroscience and the study of learning and memory.