理论神经科学的现代研究可以分作三个项目：细胞生物物理学、网络动力学、和神经生物学资料的统计分析。这个科目是关于网络动力学，但不包含单一神经元的生物物理学，单一神经元的生物物理学将在9.29计算神经科学导论中教授。有提供
问题集范例与
相关资源。
» 请至Universia浏览西班牙语版与葡萄牙语版。
Modern research in theoretical neuroscience can be divided into three categories: cellular biophysics, network dynamics, and statistical analysis of neurobiological data. This subject is about the dynamics of networks, but excludes the biophysics of single neurons, which will be taught in 9.29 Introduction to Computational Neuroscience. Sample
problem sets are provided, as well as
related resources.
» View this course en Español or em Portugues courtesy of Universia.
扮演神经中枢计算与学习基础的突触连结组织，单一和多层感应机，周期性网络的动力理论：放大器、吸收器和混合计算，倒传类神经网络模式和Hebb学习法，感知模型、运动神经控制模型、记忆模型和神经发展模型。
Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation and Hebbian learning. Models of perception, motor control, memory, and neural development.
