Jyoti Mishra

The paper shows that multi-frequency amplitude co-fluctuations, called spectral motifs, better explain glutamatergic activity than single-frequency power, revealing opponent dynamics in cortical oscillations.

The paper investigates how low- and high-frequency brain stimulation differentially affects glutamatergic and GABAergic neurons in the prefrontal cortex of rodents.

This paper shows that extended interval theta burst stimulation (eTBS) enhances antidepressant effects by reducing GABAergic inhibition and promoting glutamatergic plasticity.

This paper introduces a reinforcement learning-based deep neural network model to simulate multiple cognitive functions and demonstrates its potential as a testbench for cognitive impairment research.

The paper develops a reward decision-making task and analyzes behavioral, computational, and neural correlates of reward maximization and melioration using EEG in 186 healthy adults.

This paper introduces a mobile platform called BrainE for rapid, scalable EEG-based assessment of multiple cognitive tasks and demonstrates its reliability and sensitivity to neural plasticity and mental health symptoms.

This paper introduces a Bayesian framework that unifies EEG data cleaning, source separation, and imaging, showing improved performance over existing methods.