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For example, by only doing pull-ups on the same regular pull-up bar, the body becomes adapted to this specific physical demand, but not necessarily to other climbing patterns or environments. In 1958, Berkeley Professor of Physical Education Franklin M. Henry proposed the "Specificity Hypothesis of Motor Learning". [citation needed]
Sequential or block periodization concentrates training into periods ("blocks"). For example, for athletes, performance can be optimized for specific events based on the competition schedule. An annual training plan may be divided hierarchically into several levels, from training phases down to individual sessions.
The encoding specificity principle is the general principle that matching the encoding contexts of information at recall assists in the retrieval of episodic memories. It provides a framework for understanding how the conditions present while encoding information relate to memory and recall of that information.
A mesocycle represents a specific training block within your season, such as a strength building or endurance phase. [11] A mesocycle can also be defined as a number of continuous weeks where the training program emphasize the same type of physical adaptations, for example muscle mass and anaerobic capacity.
Progressive overload is a method of strength training and hypertrophy training that advocates for the gradual increase of the stress placed upon the musculoskeletal and nervous system. [1] The principle of progressive overload suggests that the continual increase in the total workload during training sessions will stimulate muscle growth and ...
Specific Physical Preparedness (abbreviated SPP), also referred to by Sports-specific Physical Preparedness is the status of being prepared for the movements in a specific activity (usually a sport). Specific training includes movements specific to a sport that can only be learned through repetition of those movements.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Initial fitness, training, recovery, and supercompensation. First put forth by Russian scientist Nikolai N. Yakovlev in 1949–1959, [2] this theory is a basic principle of athletic training. The fitness level of a human body in training can be broken down into four periods: initial fitness, training, recovery, and supercompensation. During the ...