Hemmings Wu
Biographic Data
| ID | 3862453 |
|---|---|
| NAME | Hemmings Wu |
| GIVEN NAMES | Hemmings |
| FAMILY NAME | Wu |
| SIGNATURE | WU H |
| AFFILIATIONS | Second Affiliated Hospital of Zhejiang University |
| ORCID | 0000-0001-9665-2617 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Specific endophenotypes in EEG microstates for methamphetamine use disorder
We accurately categorize the endophenotype of MUD into different sub-frequency bands, thereby providing reliable biomarkers
Human motor cortex encodes complex handwriting through a sequence of stable neural states
How the human motor cortex (MC) orchestrates sophisticated sequences of fine movements such as handwriting remains a puzzle. Here we investigate this question through Utah array recordings from human MC during attempted handwriting of Chinese characters (n = 306, each consisting of 6.3 ± 2.0 strokes). We find that MC activity evolves through a sequence of states corresponding to the writing of stroke fragments during complicated handwriting. The …
Human motor cortex encodes complex handwriting through a sequence of stable neural states
How the human motor cortex (MC) orchestrates sophisticated sequences of fine movements such as handwriting remains a puzzle. Here we investigate this question through Utah array recordings from human MC during attempted handwriting of Chinese characters (n = 306, each consisting of 6.3 ± 2.0 strokes). We find that MC activity evolves through a sequence of states corresponding to the writing of stroke fragments during complicated handwriting. The …
Specific endophenotypes in EEG microstates for methamphetamine use disorder
We accurately categorize the endophenotype of MUD into different sub-frequency bands, thereby providing reliable biomarkers
Human motor cortex encodes complex handwriting through a sequence of stable neural states
How the human motor cortex (MC) orchestrates sophisticated sequences of fine movements such as handwriting remains a puzzle. Here we investigate this question through Utah array recordings from human MC during attempted handwriting of Chinese characters (n = 306, each consisting of 6.3 ± 2.0 strokes). We find that MC activity evolves through a sequence of states corresponding to the writing of stroke fragments during complicated handwriting. The …
Artificial Intelligence (2 works) · Computer Science (2 works) · EEG and Brain-Computer Interfaces (2 works) · Neuroscience (2 works) · Psychology (2 works) · Action Observation and Synchronization (1 work) · Algorithm (1 work) · Artificial neural network (1 work) · Biology (1 work) · Cognition (1 work)