Linda Douw is a clinical neuropsychologist with a strong interest in network neuroscience. She investigates the brain network on multiple scales and with several imaging modalities, such as magnetoencephalography, functional MRI and diffusion MRI. She is particularly invested in advancing our understanding or cognitive decline in patients with brain tumors, epilepsy and multiple sclerosis, and applies computational methodologies to do so.

Jérôme Lecoq joined the Allen Institute in 2015 to lead efforts in mapping cortical computation using in vivo two-photon microscopy in behaving animals. He brings 10 years of experience in in vivo microscopy working with rodents. Prior to joining the Allen Institute, Lecoq was a postdoctoral scholar in Mark Schnitzer’s group at Stanford University, where he developed novel imaging methodologies to monitor large neuronal populations in the visual cortex of behaving mice.  Lecoq received a Ph.D.

Ben Fulcher is a Senior Lecturer in Neurophysics at The University of Sydney. His research uses physical brain modeling, dynamical systems, genetics, and statistical machine learning approaches to understand principles of brain organization and function in terms of underlying physical mechanisms. Read more

Anton Arkhipov joined the Allen Institute in 2013 as an assistant investigator in the Modeling, Analysis, and Theory group. He is leading efforts to carry out biophysically detailed simulations of individual neurons as well as large-scale neuronal circuits from the mouse visual system. The main focus of his research is on integration of experimental anatomical and physiological data to build sophisticated, highly realistic computational models of cortical circuitry, with the aim of elucidating mechanisms underlying processing of visual information in the cortex.