portada Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence (en Inglés)

Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence (en Inglés)

Formato

Libro Físico

Autor

Günther Palm

Editorial

Springer

Idioma

Inglés

N° páginas

259

Encuadernación

Tapa Dura

Dimensiones

23.4x15.6x1.8 cm

Peso

0.58 kg.

ISBN13

9783031003103

N° edición

0002

Categorías

Neurología y neurofisiología clínicas
Neurociencias
Inteligencia artificial

Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence (en Inglés)

Günther Palm (Autor) · Springer · Tapa Dura

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Reseña del libro "Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence (en Inglés)"

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.