printer friendly pagePSYCH 249: Large-Scale Neural Network Modeling for Neuroscience (CS 375)
The last ten years has seen a watershed in the development of large-scale neural networks in artificial intelligence. At the same time, computational neuroscientists have discovered a surprisingly robust mapping between the internal components of these networks and real neural structures in the human brain. In this class we will discuss a panoply of examples of such "convergent man-machine evolution", including: feedforward models of sensory systems (vision, audition, somatosensation); recurrent neural networks for dynamics and motor control; integrated models of attention, memory, and navigation; transformer models of language areas; self-supervised models of learning; and deep RL models of decision and planning. We will also delve into the methods and metrics for comparing such models to real-world neural data, and address how unsolved open problems in AI (that you can work on!) will drive forward novel neural models. Some meaningful background in modern neural networks is highly advised (e.g.
CS229,
CS230,
CS231n,
CS234,
CS236,
CS 330), but formal preparation in cognitive science or neuroscience is not needed (we will provide this).
Terms: Win
| Units: 3
Instructors:
Yamins, D. (PI)
PSYCH 249B: Topics in Neurodiversity: Design Thinking Approaches (PSYC 223B)
The course provides essential background about neurodiversity, the design thinking process and the Universal Design for Learning (UDL) framework to guide students in developing projects that maximize the potential of neurodiversity. Through case studies, field trips, guest speakers, and community engagement, students will explore approaches to maximizing inclusivity in realms such as education, employment, community and beyond. Students will use their knowledge to design and develop (or revising and enhance) processes, systems, experiences and/or products to maximize inclusivity and the potential of neurodiverse individuals. Based on student's interests and areas of focus, projects may include digital tool development such as app concept and design, redesign of standard processes such as job interviews/ candidate evaluations, design and development of physical products or spaces such as sensory-sensitive dorm rooms, "stim tools" and more. Students have the option to attend Monday classes or Wednesday classes for 2 units or attend both Monday and Wednesday classes for 4 units. This course is open to undergraduate and graduate students in all schools. Cardinal Course certified by the Haas Center.
Terms: Spr
| Units: 2-4
Instructors:
Fung, L. (PI)
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