Niranjan A. Kambi

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

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 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.