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Nick Chater, "The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain" (Yale UP, 2019)
New Books in Psychology
One Task, One Brain: The Interference Dilemma
Neural networks, whether artificial or biological, face significant challenges when attempting to handle multiple tasks simultaneously. The central insight is that these networks are inherently designed to solve a singular problem at a time. When multiple tasks are attempted without using distinct, non-overlapping resources, interference occurs, leading to poor performance. Effective multitasking is possible only when tasks are separated so that different areas of the network are utilized for each task. However, due to the overlapping nature of neural activity, where many brain functions are interconnected, exploiting this separation becomes complex. Thus, the brain operates primarily in a serial manner, making it difficult to manage more than one task at a time without a risk of interference.
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