Syllabus

Instructors:

Format:

  • Seminar course (S/U grading), with weekly lectures, reviews, and discussions.
  • Time: Mondays 4:30 – 5:30pm. Location: 0216 Siebel Center for Computer Science.
  • This semester we are offering two sections:
    • CS 591 BA1 (CRN 31655) – 1 credit hour, cross-listed with MCB 529 BA1 (CRN 78465). Includes attendance and participation in the seminars, selecting a paper of interest, and creating a recorded presentation.
    • CS 591 BA2 (CRN 78443) – 2 credit hours, cross-listed with MCB 529 BA2 (CRN 78493). In addition to the requirements of the 1-credit section, this option gives students the opportunity to gain research experience through a hands-on mini-project, translating an idea into code and a short report. (Please do not register for any of our other sections/CRNs if you choose this one.)

Lecture Schedule and Assignments for Spring 2026 (some minor changes possible):

  • ATTENDANCE Requirement: at least 10 out of 14 class sessions (participation surveys).
  • 1/26 – Course Overview.
  • 2/02 – Intro to Biological Intelligence, Artificial vs. biological neurons (Katya).
  • 2/09 – Intro to Biological Intelligence, Decision-making in biological systems (Katya).
  • 2/16 – Intro to Biological Intelligence, Evolution of memory (Katya).
  • 2/23 – Intro to AI and Large Language Models (Prof. Zhai).
  • 3/02 – Neuroethology & Evolution of Consciousness (Prof. Gillette).
  • 3/09 – Spiking Neural Dynamics (Prof. Engelken).
  • 3/16 – SPRING BREAK
  • 3/23 – AI Agent Learning and Applications (Ke).
  • 3/30 – AI Interpretability and Spiking Transformers (Xiaocong).
  • 4/06 – AI Interpretability and Spiking Transformers (Xiaocong).
  • 4/13 – The Knowledge Lifecycle of Large Language Models (Yuji).
    • ASSIGNMENT DUE: Upload recorded (~30 min) presentation for each Student Group by 4/13.
  • 4/20 – ASSIGNMENT: In-class Student Presentations, session 1.
  • 4/27 – ASSIGNMENT: In-class Student Presentations, session 2.
  • 5/04 – Final Discussion

All Seminar Recordings will be uploaded and made available.

For anyone interested in receiving updates on our weekly seminars, please subscribe to our mailing list: https://lists.illinois.edu/lists/info/bai (Subscribe button will be located on the left).

CS 591 BAI: Biologically Plausible AI
Email: gribkov2@illinois.edu