Wyniki wyszukiwania:

This book combines cutting-edge findings in neuroscience with examples from history and the headlines to introduce the new science of cultural biology, born of advances in brain imaging, computer modeling, and genetics. Doctors Quartz and Sejnowski show how both our noblest and darkest traits are rooted in brain systems so ancient that we share them with insects. They then demystify the dynamic engagement between brain and world that makes us something far beyond the sum of our parts.

The authors show how our humanity unfolds in precise stages as brain and world engage on...

Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together...

Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computationcollects, by topic, the most significant papers that have appeared in the journal over the past nine years.This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide...