One of the primary goals of THBI is to uncover the biological basis of intelligence. To make progress on this challenging question, THBI investigators from various disciplines work collaboratively using multiple methods of inquiry. THBI's array of reseach centers (the Brain Imaging Center, Nonhuman Primate Research Center, Child Cognition Center and others) showcases their breadth of tools and methodology: from brain imaging to genetic engineering to comparative cognition-studies directly comparing humans, nonhuman primates, and other animals. Current research projects investigate neural mechanisms of language and music, cognitive and neural signatures of humans’ and nonhuman primates’ social interactions, and the neuroscience of emotion and decision-making. Eventually, THBI aims to fully chart the cognitive and biological nature of intelligence, understanding its universality and differences across species.
Researchers at THBI apply advanced engineering technology and computational models to address current issues in brain diseases and brain health. We are especially interested in developing brain feedback techniques based on computational models for the diagnosis and treatment of brain diseases. These studies will lead to a deeper understanding of the brain, allowing us to propose effective ways for improving brain health and overall well-being.
Brain-inspired Artificial Intelligence
Can we build an artificial intelligence system that’s like human? Research at THBI actively engages in this question. We believe that the advancement of artificial intelligence research relies critically in creating and discovering artificial intelligence systems that think like humans do: data-sparse, rather than data-rich learning and abstraction, ability to solve multiple problems at the same time, quick and accurate reading of intentions and emotions. Using multiple insights from human and animal learning, developmental science, computer science, and computational neuroscience, research at THBI aims to advance research in general intelligence systems by bridging the gap between brain sciences and artificial intelligence research.
We aim to develop the next generation intelligent technologies in brain-computer interface, human-computer interaction, and neuromodulation. These technologies will bring a series of new applications for understanding and regulating the brain, such as new brain-computer interfaces that can read human language and emotions and brain regulation techniques that improve people's emotions.