Answer: Hebbian learning
Explanation: This is a type of learning which involves strengthening connections between neurons which work together. The repeated exposure to a particular stimulus can strengthen connections within a distinctive subset of cortical neurons, and this subset can provide a reliable basis for identifying the stimulus that is activating them.
It has been proven that even when an individual encounters an incomplete version of a familiar stimulus with only some of the subset of neurons representing that familiar stimulus activated at first, the connections already established through repeated coactivity will produce results that complete the familiar pattern.
Gallium and arsenic can be used
to predict the properties of eka-silicon. This is because on the periodic
table, these two elements are the closest neighbors of eka-silicon, and as a
result, would have good number of similar properties with eka-silicon.
Explanation:
the answer is b the Civil Rights leader
Answer: It can pay off its debts.
Explanation: