Zebrafish T-Maze Learning
Overview
The zebrafish T-maze learning task assesses spatial and associative learning by training fish to navigate a T-shaped aquatic maze to locate a reward (food, social conspecifics, or a preferred environment) in one arm based on visual, chromatic, or spatial cues. The apparatus consists of a start arm leading to a choice point where the fish must select between left and right goal arms, each distinguished by unique visual patterns or colors on the walls and floor. Spatial learning in zebrafish engages the dorsolateral telencephalon, the functional homologue of the mammalian hippocampus, along with the lateral pallium and cerebellum, with cholinergic and glutamatergic signaling critical for the formation and retrieval of place-reward associations.
Fish undergo repeated training sessions (typically 10-20 trials per day across 3-7 days) with the reward consistently located in one designated arm. The primary dependent variables include the percentage of correct arm choices per session, latency to reach the choice point, latency to enter the goal arm, and the learning curve slope across sessions. Reversal learning, where the reward switches to the previously unrewarded arm, provides a measure of cognitive flexibility and perseverative error rate. Probe trials without reward test the strength of the learned association by measuring choice accuracy and time spent in the previously rewarded arm.
ConductMaze tracks the fish through the maze using overhead camera, automatically detecting choice-point arrival, arm entry, and reward-zone occupancy. The system scores correct versus incorrect choices in real time, computes per-session learning indices, and generates cumulative learning curves with error bars across training days. Built-in reversal learning protocols automate the reward-switch schedule and flag perseverative error patterns.
Trial Flow
Maze Preparation
Fill T-maze with system water (26-28 C); place visual cues in goal arms; position reward in correct arm
Fish Placement
Place fish in the start arm behind a transparent barrier; allow 30 s to orient
Trial Initiation
Remove barrier; fish swims from start arm toward the choice point
Choice Detection
Record which arm the fish enters first (correct or incorrect) based on body position past the choice point
Reward or Timeout
If correct: allow 30 s to consume reward; if incorrect: confine for 30 s timeout before next trial
Inter-Trial Return
Gently guide fish back to start arm; 60 s inter-trial interval
Session Scoring
Calculate percent correct, mean latency, learning curve slope, and perseverative errors per session
Session End
Return fish to home tank; refresh water and reward between sessions
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| Trials Per Session | integer | 10 | Number of choice trials per daily training session |
| Number of Sessions | integer | 5 | Total number of training days |
| Trial Timeout | seconds | 120 | Maximum time allowed per trial before scoring as no-choice in seconds |
| Water Temperature | temperature | 27.0 | System water temperature in degrees Celsius (26-28 C optimal) |
| Maze Arm Length | distance | 20.0 | Length of each arm in centimeters |
| Maze Arm Width | distance | 8.0 | Width of the maze arms in centimeters |
| Water Depth | distance | 10.0 | Water depth in centimeters |
| Inter-Trial Interval | seconds | 60 | Rest period between consecutive trials in seconds |
| Reward Type | enum | food | Reward modality: food (brine shrimp), social (conspecific), or color (preferred environment) |
| Rewarded Arm | enum | right | Initial rewarded arm: left or right (counterbalanced across subjects) |
Metrics
| Metric | Unit | Description |
|---|---|---|
| Percent Correct | % | Percentage of trials with correct arm choice per session |
| Latency to Choice Point | seconds | Time from barrier removal to arrival at the T-junction |
| Latency to Goal Arm | seconds | Time from barrier removal to full entry into the chosen goal arm |
| Learning Curve Slope | %/session | Rate of improvement in correct choices across training sessions |
| Perseverative Errors | count | Number of incorrect choices to the previously rewarded side after reversal |
| Sessions to Criterion | count | Number of sessions to reach 80% correct performance |
| Total Distance Per Trial | cm | Mean path length from start to goal arm entry per trial |
Sample Data
| Subject | Treatment | Session | Correct % | Latency to Choice (s) | Latency to Goal (s) | Distance (cm) |
|---|
Representative data for illustration purposes. Actual values will vary by species, strain, and experimental conditions.
Applications
- 1Cognitive enhancement screening — evaluating cholinesterase inhibitors, NMDA modulators, and nootropics for learning improvement in zebrafish
- 2Alzheimer disease modeling — characterizing learning deficits in APP, PSEN1, and tau transgenic zebrafish lines
- 3Cognitive flexibility assessment — using reversal learning to measure prefrontal-like function in zebrafish after pharmacological or genetic manipulation
- 4Developmental cognitive neuroscience — determining how embryonic alcohol, lead, or pesticide exposure affects spatial learning acquisition in adults
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