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The activity of neurons in the brain is noisy in that their firing times are random when they are firing at a given mean rate. This introduces a random or stochastic property into brain processing which this book shows to be fundamental to understanding many aspects of brain function, including probabilistic decision making, perception, memory recall, short-term memory, attention, and even creativity. This book shows that in many of these processes, the noise caused by the random neuronal firing times is useful. However, the stochastic dynamics of this can be unstable or overstable, and the book shows that the stability of attractor networks in the brain in the face of noise may help to understand some important dysfunctions that occur in schizophrenia, normal aging, and obsessive-compulsive disorder. The book provides a unifying computational approach to brain function that links synaptic and biophysical properties …