$250.00
Discover a truly unique treasure with this incredibly rare First Edition, Fifth Printing of "The Organization of Behavior: A Neuropsychological Theory" by D. O. Hebb, published in 1959 by John Wiley & Sons. This foundational work in psychology and neuroscience is in excellent condition, featuring an original dust jacket that shows faint wear over classic red and black cloth boards. Hebb's groundbreaking theories introduced concepts like the "Hebbian synapse" and "cell assembly," linking brain function to behavior, which continues to inspire fields like artificial intelligence and robotics.
As the esteemed "father of neuropsychology," D. O. Hebb's insights have provided a significant framework for understanding behavior at the neural level. With concepts such as the "phase sequence" describing complex chains of thought, this book illuminates how learning shapes neural networks. Its ideas remain influential across disciplines, including enriched environments and computer science. This exceptional collectible is perfect for psychologists, neuroscientists, students, or collectors interested in the intersections of mind and brain.
Fully Detailed Description:
Incredibly rare First Edition, Fifth Printing (1959 printing of 1949 first edition) with original dust jacket intact of this important groundbreaking work in the field of neuropsychology. Book is in excellent condition with a faintly worn paper dust jacket over red and black cloth boards. Published by John Wiley & Sons. "The Organization of Behavior - A Neuropsychological Theory" by D. O. Hebb of McGill University. The Organization of Behavior: A Neuropsychological Theory, published in 1949 by Donald O. Hebb, is a foundational book in psychology and neuroscience that proposed a theory linking brain function to behavior, introducing concepts like the "cell assembly" and the "Hebbian synapse" (neurons that fire together, wire together) to explain learning and memory. It bridged the gap between psychology and neurophysiology, suggesting that learning involves changes in neural networks, and remains highly influential in fields like artificial intelligence and robotics.
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