Neural Assemblies
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Neural Assemblies
Author: G. Palm
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
You can't tell how deep a puddle is until you step in it. When I am asked about my profession, I have two ways of answering. If I want a short discussion, I say that I am a mathematician; if I want a long discussion, I say that I try to understand how the human brain works. A long discussion often leads to further questions: What does it mean to understand "how the brain works"? Does it help to be trained in mathematics when you try to understand the brain, and what kind of mathematics can help? What makes a mathematician turn into a neuroscientist? This may lead into a metascientific discussion which I do not like par ticularly because it is usually too far off the ground. In this book I take quite a different approach. I just start explaining how I think the brain works. In the course of this explanation my answers to the above questions will become clear to the reader, and he will perhaps learn some facts about the brain and get some insight into the construc tions of artificial intelligence.
Neural Assemblies
In the new edition of Neural Assemblies, the author places his original ideas and motivations within the framework of modern and cognitive neuroscience and gives a short and focused overview of the development of computational neuroscience and artificial neural networks over the last 40 years. In this book the author develops a theory of how the human brain might function. Starting with a motivational introduction to the brain as an organ of information processing, he presents a computational perspective on the basic concepts and ideas of neuroscience research on the underlying principles of brain function. In addition, the reader is introduced to the most important methods from computer science and mathematical modeling that are required for a computational understanding of information processing in the brain. Written by an expert in the field of neural information processing, this book offers a personal historical view of the development of artificial intelligence, artificial neural networks, and computational cognitive neuroscience over the last 40 years, with a focus on the realization of higher cognitive functions rather than more peripheral sensory or motor organization. The book is therefore aimed at students and researchers who want to understand how the basic neuroscientific and computational concepts in the study of brain function have changed over the last decades.
Rethinking Neural Networks
First Published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.