Introduction to Neural Networks: Biological Neural Network
Introduction to Neural Networks: Biological Neural Network
Chapter 1 introduces the functional organization of the biological brain. The first section opens with the description of neurons, fundamental units of the brain. These are structures capable of collecting signals, processing them and delivering them to subsequent units. At the same time, however, they are dynamic and can change according to the conditions of their environment. A second part of the chapter is devoted to the description of synapses: the dynamics of connections between neurons is in fact the basis of the processes of learning and memorization. Both are related to the concepts of signal intensity and iteration. A detailed description of how information is stored is thus proposed. The chapter closes with a descriptive overview of some properties of the nervous environment that make it a highly interconnected tissue.
Nonlinear optics, photorefractive soliton, solitonic waveguide, supervised learning, unsupervised learning, Machine Learning, biological neural network, Artificial Intelligence, optical psycho-memory, optical neural network, photonics
Nonlinear optics, photorefractive soliton, solitonic waveguide, supervised learning, unsupervised learning, Machine Learning, biological neural network, Artificial Intelligence, optical psycho-memory, optical neural network, photonics
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