Artificial Intelligence Programming Practice Exam

Hebbian Theory, often summarized by the phrase "cells that fire together, wire together," provides a framework for understanding how synaptic connections between neurons strengthen based on their activity. It emphasizes the relationship between the activity of neurons and learning. When two neurons are activated simultaneously, their connection becomes stronger, facilitating the adaptation of those neurons in response to learning experiences.

This theory plays a crucial role in explaining synaptic plasticity, which is the process by which synapses (the connections between neurons) increase or decrease in strength. It underlines the concept that learning is not a static process but rather involves dynamic changes in the neural connections based on experience and repeated activity. This adaptability supports various cognitive functions and is foundational to understanding learning mechanisms in both biological systems and artificial neural networks.

In contrast, the other options address different aspects of neuroscience that do not directly correlate with the principles of Hebbian Theory. For instance, the creation of new neurons pertains to neurogenesis, which is a distinct phenomenon. The physical structure of the brain involves anatomy rather than functional adaptability, and genetic factors affecting intelligence delve into the nature vs. nurture debate, lacking a direct connection to the synaptic adaptations that Hebbian Theory focuses on.