Jordy Tasserie

The paper uses multivariate information theory to analyze brain states and finds that higher-order interactions distinguish wakefulness, anaesthesia, and recovery.

This paper introduces a multi-modal, multi-species, and multi-task latent-space model to decode consciousness levels from neural recordings, achieving cross-species and zero-shot transfer.

The paper uses a whole-brain model of an anesthetized macaque to simulate and restore consciousness through thalamic stimulation, showing how brain states transition during loss and recovery of consciousness.

This study profiles neural dynamics across species during anaesthesia, finding conserved dynamical changes and linking them to molecular mechanisms.

This study uses fMRI to compare neural responses to reversible symbolic associations in humans and monkeys, finding humans show surprise in both directions while monkeys only in the learned direction.

This study identifies network temporal dynamics as a reliable signature of consciousness levels during anesthesia using fMRI data from macaques.

This study shows that prefrontal cortex transcranial direct current stimulation alters brain dynamics in both awake and anesthetized non-human primates, affecting functional connectivity patterns and structure-function relationships.

The paper investigates how consciousness states affect brain structure-function organisation using anaesthesia and deep brain stimulation in non-human primates.

The paper introduces PRIME-RE, a collaborative platform for sharing NHP neuroimaging resources, tools, and data.

The paper uses a graph-convolutional neural network to predict brain states from rsfMRI data in nonhuman primates, showing it can detect cortical signatures of consciousness.