Introduction to Systems and Computational Neuroscience: Evolution of Neural Computation


Alessandro Treves

Amount of frontal teaching: 

~20 hours



The course delineates the evolution of the vertebrate nervous systems, with a particular focus on mammals and among them on the human lineage, contrasting the network organization emerging in different structures, such as the cerebellum, the basal ganglia, the cortex and the hippocampus. Reference is made to abstract styles of neural computation such as reinforcement learning, error-correction and backpropagation of errors, associative memory and self-organizing maps. In the document below you can find the dates and content of the courses. The slides as well as other material can be downloaded here.