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Название: Fundamentals of Computational Neuroscience, 3rd EditionАвтор: Thomas Trappenberg
Издательство: Oxford University Press
Год: 2023
Страниц: 411
Язык: английский
Формат: pdf (true)
Размер: 35.9 MB
Computational neuroscience is still a young and dynamically developing discipline, and some choice of topics and presentation style had to be made. This text introduces some fundamental concepts, with an emphasis on basic neuronal models and network properties. In contrast to the common research literature, this book is trying to paint the larger picture and tries to emphasize some of the concepts and assumptions for simplifications used in the scientific technique of modelling. Computational neuroscience and Artificial Intelligence (AI) are close cousins. Computational models of neural systems such as models of neurons are much older, but connecting learning and cognitive systems created excitement over the possibility to better understand mind. The invention of learning machines has revolutionized many applications as recently seen in the dramatic progress of machine vision and natural language processing (NLP) through Deep Learning. While there has been much recent progress in Machine Learning, researchers in this area often wonder how the brain works. It sometimes seems that scientific progress oscillates between computational neuroscience and Machine Learning.
