Sounak Mohanta

This study shows that mnemonic representations in primate retrosplenial cortex reorganize from superficial to deep layers as memories mature.

The paper investigates how primate thalamic nuclei select abstract rules and shape prefrontal dynamics through neural activity patterns and modeling.

The paper shows that traveling waves in the brain carry prediction signals and mismatch information, enabling trial-by-trial updates of predictive models.

The paper shows that predictive feedback and fast responses to stimuli depend on NMDA receptors, using EEG, Bayesian modeling, and machine learning in an audio-visual task.

This paper uses thalamic deep brain stimulation in macaques to manipulate consciousness, finding that it induces absence-like activity with decreased neural complexity and integration, similar to absence epilepsy.

The paper identifies distinct functional networks in the somatosensory area 3b of macaques and humans, showing different connectivity patterns for face and hand representations.

The paper investigates consciousness level by analyzing neural circuits in macaques, finding that parietal-striatal-thalamic circuits better predict consciousness than frontal circuits.

The paper shows that stimulating the central lateral thalamus counteracts anesthesia and restores wake-like cortical dynamics and consciousness in macaques.