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Neural Plasticity
The ability of the brain's neural networks to change through growth and reorganization, in response to learning or experience.
Back Propagation
An algorithm commonly used in training artificial neural networks, where error is propagated backwards to update the weights.
Temporal Summation
The process by which multiple sub-threshold signals can combine over time at a synapse to produce a significant effect, often leading to action potential if the threshold is reached.
Nobel Prize
Prestigious international awards given annually in several categories including physics, chemistry, medicine, literature, peace, and economic sciences, to those who confer the greatest benefit to humanity.
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