Kevin's memory of a baseball game involving his favorite team required the use of different neural networks to simultaneously encode the sights,sounds,and smells of that game.This best illustrates

A) distributed practice.
B) implicit memory.
C) parallel processing.
D) chunking.

Question

Tarren Engle · Accepted Answer

Final Answer : C, Explanation :  Parallel processing refers to the simultaneous use of multiple neural networks to process different aspects of sensory information. In this case, Kevin's memory of a baseball game involves processing of visual, auditory, and olfactory stimuli at the same time, which is an example of parallel processing. Distributed practice refers to the spacing out of study sessions over time, implicit memory refers to unconscious memory, and chunking refers to the grouping of information into smaller, more manageable units. None of these concepts are particularly relevant to the scenario described.

Kevin's memory of a baseball game involving his favorite team required the use of different neural networks to simultaneously encode the sights,sounds,and smells of that game.This best illustrates

A) distributed practice.
B) implicit memory.
C) parallel processing.
D) chunking.

Definitions

Learning Objectives

Learning Objectives

Related questions

Kevin's memory of a baseball game involving his favorite team required the use of different neural networks to simultaneously encode the sights,sounds,and smells of that game.This best illustratesA) distributed practice.B) implicit memory.C) parallel processing.D) chunking.

Definitions

Learning Objectives

Learning Objectives

Related questions

Kevin's memory of a baseball game involving his favorite team required the use of different neural networks to simultaneously encode the sights,sounds,and smells of that game.This best illustrates

A) distributed practice.
B) implicit memory.
C) parallel processing.
D) chunking.