作者: Michael A. Arbib , Amanda Alexander , Alfredo Weitzenfeld
DOI:
关键词: Associative search 、 Modular design 、 Artificial neural network 、 Artificial intelligence 、 Schema (psychology) 、 Facial recognition system 、 Conditional learning 、 Simulation language 、 Computer science
摘要: From the Publisher: The Neural Simulation Language (NSL), developed by Alfredo Weitzenfeld, Michael Arbib, and Amanda Alexander, provides a simulation environment for modular brain modeling. NSL is an object-oriented language offering protocols applicable to all levels of neural simulation. One NSL's main strengths that it allows realistic modeling anatomy macroscopic structures. The book divided into two parts. The first part presents overview network schema modeling, brief history NSL, detailed discussion new version, 3.0. It includes tutorials on several basic models. second models built in researchers from around world, including those conditional learning, face recognition, associative search networks, visuomotor coordination. Each chapter explanation model, 3.0 code, representative set results.