معرفی
Monika P. Jadi is an Assistant Professor at Yale School of Medicine, affiliated with both the Department of Psychiatry and Department of Neuroscience. Her work bridges computational neuroscience and neuroengineering, focusing on cortical circuit dynamics and dendritic computations.
- Ph.D. in Neuroengineering, University of Southern California (2010)
- Postdoctoral Training, Salk Institute Computational Neurobiology Laboratory (2017)
Research spans computational principles of flexible brain information processing, utilizing applied physics and machine learning methodologies. Key interests include:
- Dendritic Synaptic Inhibition
- Cortical Oscillation Mechanisms
- Interneuron Class Modulation
- Population Coding Temporal Dynamics
- Neuromodulation in Columnar Circuits
Recent publications examine spatial context effects on visual cortex information flow, brain-state dependencies in cortical processing, and primate behavioral modeling. The lab employs both computational modeling and in vitro experiments to dissect neural circuit properties.
Awarded the NIH Pathway to Independence Award (K99/R00), her work receives institutional support from Yale's Molecular Psychiatry Division and Neuroscience Program. Collaborations span neurophysiology, computational modeling, and translational brain imaging initiatives.
