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The first text to integrate behavioral and cognitive approaches to
learning and memory, this engaging textbook emphasizes human
research, reflecting the field's evolution. Learning and Memory
also recognizes the vital contribution of animal research, covering
all historically important studies. Written in a lively and
conversational style, this second edition encourages students to
think critically. One example is its exploration of the
Rescorla-Wagner model, the most important theory of conditioning,
now further streamlined to improve student comprehension. Another
is the addition of critical-thinking questions, which encourage
students to evaluate their reactions to the material they've read,
and relate findings to their own lives. Research includes an
emphasis on practical applications such as treatments for phobias,
addictions, and autism; the arguments for and against corporal
punishment; whether recovered memories and eyewitness testimony
should be believed; and effective techniques for studying. The text
concludes with an overview of neural networks and deep learning.
The first text to integrate behavioral and cognitive approaches to
learning and memory, this engaging textbook emphasizes human
research, reflecting the field's evolution. Learning and Memory
also recognizes the vital contribution of animal research, covering
all historically important studies. Written in a lively and
conversational style, this second edition encourages students to
think critically. One example is its exploration of the
Rescorla-Wagner model, the most important theory of conditioning,
now further streamlined to improve student comprehension. Another
is the addition of critical-thinking questions, which encourage
students to evaluate their reactions to the material they've read,
and relate findings to their own lives. Research includes an
emphasis on practical applications such as treatments for phobias,
addictions, and autism; the arguments for and against corporal
punishment; whether recovered memories and eyewitness testimony
should be believed; and effective techniques for studying. The text
concludes with an overview of neural networks and deep learning.
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