Dr. Pamela Douglas Male • United States of America

Dr. Pamela Douglas's contributions to the field are recognized through grants and funding and her extensive publications in peer-reviewed journals. With a total of 52 publications and thousands of citations from her peers, her work holds significant value in the scientific community. Some notable journals in which her research has been published include Front Neurosci, Frontiers in Human Neuroscience, Journal of Neuroscience Methods, and Current Opinion in Neurobiology. As a computational neuroscientist, Dr. Douglas is interested in the brain's ability to generate 1/f spectral rhythms that mirror environmental patterns. She explores the brain's organizational processes and theorizes that this mirroring function optimizes learning while minimizing energy requirements for modeling the environment. Her research involves utilizing transcranial ultrasound, fMRI, and EEG to collect empirical data, which she combines to create cognitive computational models. Using pattern classification tools, she evaluates representational patterns in fMRI data according to a decoding framework's parameters.

In addition to her research and publications, Pamela Douglas actively engages in speaking engagements and lectures to share her knowledge and inform her peers about advancements in artificial intelligence, generative models, functional MRI, and other areas of neuroscience. Some of her notable speaking engagements include presentations on "Explainable AI in Neuro-Imaging: Challenges and Future Directions," "Beyond Linear Decoding: Introduction to Deep Learning Methods," "Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation," and "Classification of Decision-Making and Spatial Colocalization of EEG/fMRI Data." Her expertise has been featured in workshops released on YouTube in collaboration with renowned partners such as the Biomedical Science Research and Training Centre, Cosyne Talks, the Institute for Pure & Applied Mathematics, and the National Institutes of Health Center for Multimodal Neuroimaging.