理論神經科學的現代研究可以分作三個項目：細胞生物物理學、網路動力學、和神經生物學資料的統計分析。這個科目是關於網路動力學，但不包含單一神經元的生物物理學，單一神經元的生物物理學將在9.29計算神經科學導論中教授。有提供
問題集範例與
相關資源。
» 請至Universia瀏覽西班牙語版與葡萄牙語版。
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.
扮演神經中樞計算與學習基礎的突觸連結組織，單一和多層感應機，週期性網路的動力理論：放大器、吸收器和混合計算，倒傳類神經網路模式和Hebb學習法，感知模型、運動神經控制模型、記憶模型和神經發展模型。
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.
