Our Vision is to significantly advance the science of learning

by establishing a pipeline from basic science to scalable tools for enhanced learning, which will have measurable, substantial,
and lasting impact on the next generation of education, machine learning, artificial intelligence and health.

The Temporal Dynamics of Learning Center or "TDLC" is a National Science Foundation-funded Science of Learning Center that has enjoyed over a decade of success. TDLC aims to achieve an integrated understanding of the role of time and timing in learning, across multiple scales, brain systems, and social systems. The scientific goal of the center has been to understand how the element of time and timing is critical for learning, and to apply this understanding to improve educational practice.

Latest News:

  • Stem Cell–Derived Neurons from People with Autism Grow Differently
    Changes in gene expression also hint at how the brains of people with ASD develop differently from those of other people. (The Scientist, 1/11/19)
    TDLC investigator Rusty Gage is coauthor of the study. More

    Dr. Sejnowski
  • A pioneering scientist explains ‘deep learning’
    Dr. Terry Sejnowski discusses his new book, The Deep Learning Revolution, as well as the field of deep learning in general. He argues that "the hype about killer AI or robots making us obsolete ignores exciting possibilities happening in the fields of computer science and neuroscience, and what can happen when artificial intelligence meets human intelligence." Read what he has to say in this fascinating interview! (The Verge, 10/16/18)

    internship
  • Tapping Untapped Talent: Internship program taps into the talents of autistic youth (UC San Diego, 10/11/18)
    A new internship program at UC San Diego taps into the talents of autistic youth to develop therapeutic video games based on TDLC research. Dr. Leanne Chukoskie, a former TDLC scientist at UC San Diego, designed a paid summer internship program for people with Autism Spectrum Disorder (ASD). With support from the San Diego Foundation and the Legler Benbough Foundation, she established the program through the Power of Neurogaming Center (PoNG) at UC San Diego’s Qualcomm Institute. The eight-week program is mutually beneficial - Dr. Chukoskie gains the students’ coding talent, and interns improve their social skills by working in creative groups and making professional connections. More(Photos by Erik Jepsen/UC San Diego Publications)

  • The Deep Learning Revolution by Dr. Terrence J. Sejnowski
    In his recently released book, The Deep Learning Revolution (Oct 2018), TDLC Co-Director Dr. Terrence Sejnowski describes the way deep learning is changing our lives and transforming our economy. Dr. Sejnowski devotes one chapter to his research through the Temporal Dynamics of Learning Center (TDLC). TDLC emphasizes machine learning and brain learning, two areas that are converging. Examples of research by TDLC include the automatic recognition of facial expressions, social robots for classrooms, and learning how to learn. These advances are being supercharged with deep learning and could soon lead to personalized tutors. 

  • Exploring Human-Robot Interaction (UC San Diego)
    RUBI (Robot Using Bayesian Inference), "the brain child" of former TDLC investigator Javier Movellan, has joined the lab of Andrea Chiba! RUBI continues to visit UC RUBISan Diego’s Early Childhood Education Center with TDLC's Deborah Forster to help to teach the preschoolers letters, numbers and fun songs. RUBI also helps the Chiba lab learn more about human-robot interaction and how robots can be useful. Read more
    (Photo: Andy Thai works with RUBI. Credit: Terri Rippee).

  • Learning Is a Complex and Active Process That Occurs Throughout the Life Span, New Report Says
    (The National Academies of Sciences, Engineering, and Medicine News, 10/4/18)
    A new report from the National Academies of Sciences, Engineering, and Medicine highlights the dynamic process of learning throughout the life span. The report, entitled How People Learn II, also identifies areas in which more research is needed to have an even deeper understanding of human learning. TDLC investigator Dr. Zewelanji Serpell participated on the report committee. Read more


More news