Guillaume Corlouer, gc349@sussex.ac.uk

I am a 3rd year PhD student at the Sackler center for consciousness science. I am interested in how modeling information flow in multivariate neural time series can help us to explore and test theories to consciousness science. My current academic research focuses mostly on conducting functional connectivity and Granger causality analysis between groups and pairs of neural time series measured by intracranial electrodes on humans in different behavioral conditions such as viewing pictures, resting state or sleeping.

Work in Progress:

Top-down and bottom-up information flow in visually responsive neural populations: a Granger causality analysis on high-frequency broadband amplitude from intracranial electrodes.

Validating state space model based Granger causality methods on The Virtual Brain simulated neural time series.

Modeling and comparing information flow between neural populations in the human cortex in distincts sleep stages.

Side projects:

Emergent computations in artificial deep neural network from transfer entropy maximisation

Persistence in time series