Computational Neuroscience

Our ongoing research is developing widely disseminable: 1) functional interactomes across brain scales and, 2) in silico co-cultures of diverse cell types (e.g., neurons, astrocytes and microglia) which will permit studying the complex crosstalk between neural excitability, neuroinflammation and neuroendocrine subsystems in health and disease. The models which we construct and study feature a great degree of biological realism and offer molecular level insights into the dynamics of whole brain function. This project involves solid multidisciplinary training in Life and Physical Sciences as well as Bioengineering.

Some of our recent reports include (For a full list of our published work, click here):

A Multicellular Network to Study Intrinsic Rhythms and Neural Control of Gastric Peristalsis (2021) PMID: 34871315





A New Role for Voltage-Gated Sodium Channels in Noise Modulation (2019) PMID: 31226124



A book chapter on computational models of astrocyte Ca2+ signals in the Encyclopedia of Computational Neuroscience (2019) Link