Computer Science 691NR - S-Neural Networks:Neurosci&Eng

This is a project based course, focusing on the science connecting the field of neural network with human brain mechanism, as well as advancements which are at the front of the field. We start by introducing a few neural network architectures with their learning paradigms, including deep feed-forward and recurrent networks, Hopfield's memory, and Kohonen's self organizing maps. We continue by building on the top of these: clique structures and brain-like updatable architectures, explainable AI, combining symbolic with subsymbolic into one strong AI, robust AI, deep fake applications, and up to lifelong learning.

Open to Graduate Computer Science students only. MEETS WITH COMPSCI 591NR. UNDERGRADUATE COURSE IN ALGORITHMS EQUIVALENT TO COMPSCI 311 IS ASSUMED. STUDENTS NEEDING INSTRUCTOR PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.