Mengxin Li is a New York based illustrator and motion graphic designer originally from China. She graduated from Savannah College of Art and Design in 2017 with a MFA degree in Illustration. Mengxin enjoys creating conceptual illustration with a sense of humor, she also agrees that motion graphic techniques could bring out a lot of potential for visual storytelling.
Mengxin Li
Animator, illustrator
From this contributor
How autism’s definition has changed over time
Don’t judge this book by its decidedly dull cover: Across its pages, some of the most dramatic changes in the history of autism have played out. This short animation chronicles how a diagnostic manual has defined and redefined autism over the years.
How autism’s definition has changed over time
Explore more from The Transmitter
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.