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1 - 3 of 3 results for: PSYCH249

PSYCH 249: Large-Scale Neural Network Modeling for Neuroscience (CS 375)

Introduction to designing, building, and training large-scale neural networks for modeling brain and behavioral data, including: deep convolutional neural network models of sensory systems (vision, audition, somatosensation); variational and generative methods for neural interpretation; recurrent neural networks for dynamics, memory and attention; interactive agent-based deep reinforcement learning for cognitive modeling; and methods and metrics for comparing such models to real-world neural data. Attention will be given both to established methods as well as cutting-edge techniques. Students will learn conceptual bases for deep neural network models and will also implement learn to implement and train large-scale models in Tensorflow using GPUs. Requirements: Fluency in Unix shell and Python programming; familiarity with differential equations, linear algebra, and probability theory; priori experience with modern machine learning concepts (e.g. CS229) and basic neural network training tools (eg. CS230 and/or CS231n). Prior knowledge of basic cognitive science or neuroscience not required but helpful.
Terms: Spr | 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.
Terms: Spr | Units: 2-4
Instructors: Fung, L. (PI)

PSYCH 249L: Workshop on Incremental Language Processing (LINGUIST 249L)

Language is processed incrementally over time. This has consequences for language comprehension, production, acquisition, and change, all of which occur at different timescales. What is the role of time in language? The class will be based around visiting lectures by major researchers in this area, along with meetings to prepare for their visits by discussing key readings. May be repeated for credit.
Last offered: Spring 2018 | Repeatable 3 times (up to 3 units total)
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