Basic Sets - Intro to Neural Computation 16：基本集 - 神经计算介绍 【第18集】18: Recurrent Networks - Intro to Neural Computation 18：经常性网络 - 神经计算介绍 译 MIT 9.40 Introduction to Neural Computation, Spring ...

Artificial neural networks are inspired by the early models of sensory processing by the brain. An artificial neural network can be created by simulating a network of model neurons in a computer.

Topics include strong (knowledge-based) and weak (search-based) methods for problem solving and inference, and alternative models of knowledge and learning, including symbolic, statistical and neural ...

How can we characterize the dynamics of neural networks with recurrent connections? How do the time-varying activities of populations of neurons represent things? How are synapse strengths ...

The book gradually leads the reader from a macroscopic view of cortical anatomy and a description of standard electrophysiological properties of single neurons to neural network models and synchronous ...

This paper discusses the general decay synchronization problem for a class of fuzzy competitive neural networks with time-varying delays and discontinuous activation fun ...