Dr. Pamela Douglas's contributions to the field are not limited to funding awards; she has also made significant contributions through her published works. Her studies and articles have been published in prestigious peer-reviewed journals, including Front Neurosci, Frontiers in Human Neuroscience, Journal of Neuroscience Methods, and Current Opinion in Neurobiology. With an impressive total of 52 publications, Dr. Douglas has garnered thousands of citations from her peers, highlighting the impact and importance of her research.
As a computational neuroscientist, Pamela is particularly fascinated by the brain's ability to organize and generate 1/f spectral rhythms that mimic the environment. She proposes that this mirroring function optimizes the brain's learning capabilities while reducing the energy consumption required for modeling the environment. Her research involves employing various data collection methods, such as transcranial ultrasound, fMRI, and EEG, and integrating these datasets to create cognitive computational models. She uses pattern classification tools to evaluate representational patterns in fMRI data based on parameters of a decoding framework.
Pamela Douglas is dedicated to advancing her research and actively shares her knowledge and insights through speaking engagements and lectures. She has delivered talks on topics such as Explainable AI in Neuro-Imaging, Deep Learning Methods beyond Linear Decoding, and the simultaneous collection of fMRI/EEG data during a focused attention suggestion for differential thermal sensation. Her expertise has been sought after by renowned institutions and organizations, including 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. Several of her workshops and presentations have been made available on YouTube, allowing a wider audience to benefit from her expertise.