Dr. Pamela Douglas

Dr. Pamela Douglas's achievements, distinctions, and memberships testify to her influential role in the field of neuroscience and brain development. Through her innovative research, successful grant acquisitions, and extensive publications, she continues to advance our understanding of the human brain and inspire future researchers. Pamela Douglas's research interests as a computational neuroscientist centre around the brain's remarkable ability to organize itself and generate 1/f spectral rhythms that mimic environmental patterns. She proposes that this mirroring function of the brain serves two purposes: to minimize energy requirements for modelling the environment and to provide an optimal learning environment. Douglas has employed various empirical data collection techniques throughout her career, including transcranial ultrasound, functional magnetic resonance imaging (fMRI), and electroencephalography (EEG). Combining these datasets, she develops cognitive computational models that shed light on the brain's intricate processes. She utilises pattern classification tools to evaluate representational patterns in fMRI data based on a decoding framework. In addition to her research endeavours, Pamela Douglas has actively shared her knowledge and insights with her peers through speaking engagements and lectures. Some notable topics she has addressed include the challenges and future directions of explainable artificial intelligence (AI) in neuroimaging and an introduction to deep learning methods beyond linear decoding. She has also explored innovative methods for simultaneous fMRI/EEG data collection during focused attention suggestion for differential thermal sensation and the classification of decision-making and spatial colocalization of EEG/fMRI data.