|Simulation Neuroscience Connectomics
|James B Isbister is a Postdoctoral Researcher in the Connectomics team in the Simulation Neuroscience Division.
James’ research aims to explore how information is represented by spiking activity in the cortex, through analysis of in vivo and in silico neural dynamics. During his PhD at the University of Oxford and with the Blue Brain Project, James demonstrated that precise cortical spike time patterns are time-warped (stretched/compressed) on single trials in vivo.
Isbister, J. B., Reyes-Puerta, V., Sun, J. J., Horenko, I., & Luhmann, H. J. (2021). Clustering and control for adaptation uncovers time-warped spike time patterns in cortical networks in vivo. Scientific Reports, 11(1), 1-20 https://www.nature.com/articles/s41598-021-94002-0
Ahmad, N., Isbister, J. B., Smithe, T. S. C., & Stringer, S. M. (2018). Spike: A gpu optimised spiking neural network simulator. bioRxiv, 461160. https://www.biorxiv.org/content/10.1101/461160v1