Stephen Eglen is currently Reader in Computational Neuroscience at the University of Cambridge, in the Department of Applied Mathematics and Theoretical Physics. His undergraduate degree was in cognitive science, psychology and computer science (Nottingham), followed by doctorate in computer science and artificial intellegence (Sussex). His research interests focus on understanding the development of the nervous system: How do neurons form connections with each other into structured networks? He works primarily on analysing and modelling of neuronal activity and development in the visual system. Recent work has applied these techniques to understanding networks dervived from human stem cells and for neurotoxicity testing.
1. Application of deep learning to understanding development of visual receptive fields.
2. Enabling open research practices in computational neuroscience and more broadly.
3. Promoting neuroscience as a data scienc