DeWitt Sumners

Learn More
Conventional model-based or statistical analysis methods for functional MRI (fMRI) are easy to implement, and are effective in analyzing data with simple paradigms. However, they are not applicable in situations in which patterns of neural response are complicated and when fMRI response is unknown. In this paper the "neural gas" network is adapted and(More)
Conventional model—based or statistical analysis methods for functional MItT (fMRI) are easy to implement, and are effective in analyzing data with simple paradigms. However, they are not applicable in situations in which patterns of neural response are complicated and when fMRI response is unknown. In this paper the "neural gas" network is adapted and(More)
Following a road-traffic accident, an 18-year-old man developed episodic dyscontrol which brought him into conflict with the law. Two years after the accident, treatment with carbamazepine was initiated and further aggressive outbursts subsided. The efficacy and mode of action of carbamazepine is discussed and the literature reviewed.
T he most exciting science in the 21st century is likely to evolve among, not within, traditional disciplines. Physical scientists, mathematicians, and engineers, concerned with understanding and designing complex systems, can offer invaluable viewpoints and approaches to biologists. Conversely, biological systems provide new challenges for mathematics and(More)
This paper presents new model—free fMRI methods based on independent component analysis. Commonly used methods in analyzing fMRI data, such as the Student's t-test and cross correlation analysis, are model-based approaches. Although these methods are easy to implement and are effective in analyzing data with simple paradigms, they are not applicable in(More)
  • 1