The Chinese University of Hong Kong
Although people often conceive of memory as something static and unchanging, like an old photograph, our memories constantly change because of subsequent experience and learning. Some of these effects result in interference and a reduced ability to retrieve memories, but some can improve memory retrieval, such as studying information again before a test. The research in our lab employs behavioral studies, neuroimaging (EEG and fMRI), machine learning, and computational modeling to explore how memory is dynamically strengthened, altered, and integrated, as well as the brain structures that support these processes.
Examples of projects in our lab:
1. Building and testing neural network models to account for the various effects of memory retrieval on long-term memory retention.
2. Examining how wakeful rest and sleep influence memory using behavioral and neuroimaging experiments.
3. Developing learning techniques that can improve memory deficits in people with psychiatric and neurocognitive disorders.