What does the outcome of neural redundancy imply about tolerance to neuron loss?

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Multiple Choice

What does the outcome of neural redundancy imply about tolerance to neuron loss?

Explanation:
Neural redundancy provides tolerance to neuron loss because many neurons or circuits share overlapping functions and can compensate for lost inputs. When a portion of neurons die or are damaged, the remaining neurons can take over or strengthen their connections, preserving function. This spare capacity means you can lose a substantial number of neurons before any noticeable deficits appear, and deficits often emerge only after the loss exceeds what the remaining networks can accommodate or after time for plastic changes has passed. So the outcome reflects that significant neuronal loss can be tolerated before observable deficits show up. Immediate deficits after any neuron loss, inability of the brain to compensate, or deficits only after complete neuron loss don’t fit the observed capacity for redundancy and plasticity to maintain function.

Neural redundancy provides tolerance to neuron loss because many neurons or circuits share overlapping functions and can compensate for lost inputs. When a portion of neurons die or are damaged, the remaining neurons can take over or strengthen their connections, preserving function. This spare capacity means you can lose a substantial number of neurons before any noticeable deficits appear, and deficits often emerge only after the loss exceeds what the remaining networks can accommodate or after time for plastic changes has passed.

So the outcome reflects that significant neuronal loss can be tolerated before observable deficits show up. Immediate deficits after any neuron loss, inability of the brain to compensate, or deficits only after complete neuron loss don’t fit the observed capacity for redundancy and plasticity to maintain function.

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