Rate My Professor Stephen Eglen

Eglen's research applies computational methods to study neural development, particularly in the retina and visual pathway. He investigates structural development, such as how retinal neurons acquire positional information and form mosaics and retinotopic maps, and functional development, including synaptic connectivity mechanisms. His work also involves analyzing large-scale neurophysiological datasets from multi-electrode arrays and calcium imaging. Key publications include 'Detecting pairwise correlations in spike trains: an objective comparison of methods and application to the study of retinal waves' (2001), 'A data repository and analysis framework for spontaneous neural activity recordings in developing retina' (2014), 'Canalization of genetic and pharmacological perturbations in developing primary neuronal activity patterns' (2016), 'Quantitative assessment of computational models for retinotopic map formation' (2015), and 'Homophilic wiring principles underpin neuronal network topology in vitro' (2025). Eglen co-founded Codecheck to promote computational reproducibility and advocates for open access, data sharing, and rights retention in research. He has been appointed a Turing Fellow by the Alan Turing Institute.