Training Session Data
Training Session Data - Related Videos
09:19
Short Session High Intensity Interval Training and Treadmill Assessment in Aged Mice
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Cited by 16 •
2019
Short session (≤10 min) high intensity interval training (HIIT) is emerging as an alternative to longer exercise modalities, yet the shorter variants are rarely modeled in animal studies. Here, we describe a 10 min, 3 day a week, uphill treadmill HIIT protocol that enhances physical performance in male and female aged mice.
06:57
Pavlovian Conditioned Approach Training in Rats
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Cited by 30 •
2016
Here, we present a protocol to elicit Pavlovian conditioned approach behavior in rats. This procedure can be used to measure individual differences in the tendency to approach and attribute incentive salience to reward-related cues and investigate addiction vulnerability.
08:12
Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
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Cited by 6 •
2019
This protocol describes a method for calculating Heart Rate Variability (HRV) from electrocardiogram (ECG) waveforms. Waveforms from continuous heart rate (HR) recordings during active video game (AVG) sessions were used to measure the aerobic performance of youth with cerebral palsy (CP).
10:27
Training Synesthetic Letter-color Associations by Reading in Color
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Cited by 5 •
2014
Reading in color is a new method for training letter-color associations that are typically found only in grapheme-color synesthetes. It involves an implicit form of training that has potential for long-term associative training methods because the training is a byproduct of reading and any text can be colored.
07:05
A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
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Cited by 5 •
2017
The ability to induce and/or control neural plasticity may be critical in future treatments for neurologic disorders and the recovery from brain injury. In this paper, we present a protocol on the use of neurofeedback training with functional magnetic resonance imaging to modulate human brain function.
FAQs
Within a training session, the sequence of cue, response, and consequence lets an observer relate behavior to the conditions surrounding it. Recording these elements together helps distinguish a change in responding from a change in the training arrangement. That relationship is useful when examining whether performance changes in accuracy, response frequency, latency, or persistence.
The selected measure should match the training goal and the behavior being examined. Frequency captures how often a response occurs, accuracy reflects successful responding, latency provides a timing measure, and persistence indicates whether responding continues. Focusing on the relevant measure prevents unrelated changes from dominating interpretation and keeps conclusions tied to the purpose of training.
A behavior may change during training without showing the same pattern across people, settings, or tasks. Comparing session records across these conditions helps evaluate whether performance extends beyond the original training arrangement. This makes generalization a useful outcome when researchers or practitioners need to determine how broadly the trained behavior applies.
Session comparisons should focus on changes in the recorded response patterns and the training conditions associated with them. Reviewing performance over time can show whether responses become more accurate, frequent, persistent, or different in latency. Relating those changes to the cues and consequences documented in each session supports a more objective interpretation of progress.
Systematic records reveal patterns that may not be apparent from a single observation. When performance changes across sessions, researchers and practitioners can examine the associated training conditions and use that information to adjust the procedure. The revised approach can then be evaluated through subsequent records, creating an ongoing basis for assessing training progress.
In behavioral research, structured session records support objective assessment of learning rather than relying only on general impressions. They allow investigators to connect observed responses with training conditions, compare performance over time, and evaluate outcomes such as persistence or generalization. This supports clearer conclusions about how behavior changes during training and where those changes occur.