T-Maze Rewarded Alternation
Overview
The T-maze rewarded alternation task combines spatial working memory demands with appetitive motivation by placing food rewards in the goal arms according to an alternation rule. On the sample run, both goal arms are baited but only one is accessible; after the animal consumes the reward, it is returned to the start and given a free choice. The previously visited arm is now empty while the alternative arm still contains food, so correct alternation is reinforced by reward. This procedure leverages both the innate tendency to alternate and the learned association between novel-arm entry and reward, producing robust baseline performance that is highly sensitive to pharmacological or genetic disruption.
Performance is measured as the percentage of correct rewarded choices across trials, with secondary measures including choice latency, running speed, and reward consumption time. Food-motivated protocols have the advantage of generating consistent high-baseline performance (85-95% correct in well-trained animals), which provides ample dynamic range for detecting drug-induced impairments. However, they require food restriction to 85-90% free-feeding body weight and several days of pretraining to habituate animals to the maze, the reward, and the running procedure.
ConductMaze integrates automated reward detection through pellet sensors and lick-contact circuits in each goal arm, enabling real-time confirmation that the animal has consumed the reward before triggering the next phase. The software manages the alternation rule, logs reward collection times, and adjusts pseudorandom sample arm sequences to prevent side biases. Body weight tracking and food restriction schedules can be managed through the integrated colony management module.
Trial Flow
Arm Baiting
Both goal arms are baited with food reward; one arm is blocked by a guillotine door.
Sample Run
Animal runs from start to the open goal arm and consumes the reward.
Reward Verification
Pellet sensor confirms reward consumption before trial advances.
Return & Delay
Animal is returned to the start compartment for the inter-trial interval.
Choice Run
Both arms open; previously visited arm is now empty, alternative arm retains reward.
Choice Scoring
Entry into the rewarded (novel) arm = correct; entry into the empty arm = error. Latency and speed recorded.
Session End
Session terminates after the configured number of trials; data are exported and maze cleaned.
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| Number of Trials | integer | 10 | Number of sample-choice trial pairs per session. |
| Reward Type | enum | sucrose-pellet-45mg | Type and size of food reward placed in each goal arm. |
| Inter-Trial Interval | duration | 15s | Delay between reward consumption and start of the next trial. |
| Choice Phase Timeout | duration | 120s | Maximum time allowed for the animal to make a choice before the trial is aborted. |
| Sample Arm Sequence | enum | pseudorandom | Forced arm sequence with no more than 3 consecutive same-side assignments. |
| Food Restriction Target | percentage | 85% | Target body weight as a percentage of free-feeding weight during testing. |
| Pretraining Days | integer | 5 | Number of days of maze habituation and reward familiarization before testing. |
| Stem Length | distance | 60cm | Length of the start arm from start position to the choice point. |
| Arm Length | distance | 30cm | Length of each goal arm from choice point to reward location. |
Metrics
| Metric | Unit | Description |
|---|---|---|
| Correct Choice % | % | Percentage of trials in which the animal chose the rewarded (novel) arm. |
| Mean Choice Latency | s | Average time from start door opening to goal arm entry on choice runs. |
| Mean Running Speed | cm/s | Average speed during the choice run from start to goal arm entry. |
| Reward Collection Time | s | Average time from arm entry to pellet sensor activation indicating consumption. |
| Side Bias Index | ratio | Proportion of left versus right choices, independent of correctness. |
| Perseverative Errors | count | Number of consecutive errors to the same side, indicating rigid response patterns. |
| Trials to Criterion | count | Number of trials to reach a criterion of 8/10 correct consecutive choices. |
Sample Data
| Subject | Group | Correct % | Mean Latency (s) | Running Speed (cm/s) | Perseverative Errors |
|---|
Representative data for illustration purposes. Actual values will vary by species, strain, and experimental conditions.
Applications
- 1Anxiolytic Side Effects — Detecting cognitive impairment caused by benzodiazepines and other anxiolytic compounds at therapeutically relevant doses.
- 2Motivational Confound Control — Using reward-motivated performance to distinguish true memory deficits from motivational or motor impairments.
- 3Learning Curve Analysis — Tracking the acquisition of rewarded alternation across training days to assess procedural learning in addition to spatial memory.
- 4Genetic Model Characterization — Phenotyping transgenic mice for hippocampal-dependent spatial memory deficits with high baseline performance providing sensitive detection.
Related Protocols
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