Of the Evolution of the Brain
by Allessandro Treves, Yasser Roudi
Publisher: SISSA 2010
Number of pages: 50
We review the common themes, the network models and the mathematical formalism underlying our recent studies about different stages in the evolution of the human brain. These studies all discuss the evolution of cortical networks in terms of their computations, quantified by simulating simplified formal models.
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by Milan Hajek - University of KwaZulu-Natal
Contents: Introduction; Learning process; Perceptron; Back-propagation networks; The Hopfield network; Self-organizing feature maps; Temporal processing with neural networks; Radial-basis function networks; Adaline (Adaptive Linear System).
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The book is an introduction to Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques are also introduced.
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Systematic introduction to neural networks, biological foundations; important network classes and learning algorithms; supervised models (perceptrons, adalines, multi-layer perceptrons), support-vector machines, echo-state networks, etc.
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