Manfred Spitzer’s The Mind within the Net is one of the best non-technical narratives on how minds work using the neural network model. Some of these explanations are startling, while others reinforce positions of strong advocates of individual freedom and the power of informal learning, such as Stephen Downes, George Siemens, and Jay Cross.
Like neural networks, the brain is based on vector algebra, rather than numerical computations. Vectors have strength and direction, and many vectors, representing multiple inputs, unite to form a result. The result in the brain is strengthening or weakening of a set of neural connections, a relatively slow process. While a single event can have an impact, it usually takes many events to have a relatively permanent change in the brain (aka “learning”) and to extract general features and generate rules from experience.
So there you go.