Back close

Modeling fMRI BOLD Correlates of Neural Circuit Activity

Start Date: Tuesday, Jan 01,2019

End Date: Saturday, Jan 01,2022

Funded by:Department of Science and Technology, Government of India
Modeling fMRI BOLD Correlates of Neural Circuit Activity

Blood Oxygen Level Dependent (BOLD) signals are the responses of functional magnetic resonance imaging techniques used to understand brain state and function in neurology. As an early role in translational neuroscience, Amrita mind brain center works on reconstructing fMRI BOLD and neurovascular coupling models based on large-scale neural microcircuit models, allowing clinical neuroscientists to connect back to physiological experiments and existing data-driven neuron and network models. This project was also part of EU Human Brain Project voucher call, BOLDSim.

References

  • Chaitanya Nutakki, Sreedev Radhakrishnan, Bipin G. Nair, and Shyam Diwakar, “Modeling fMRI BOLD signals and temporal mismatches in the cerebellar cortex”, CSI Transactions on ICT, 2019. 

Related Projects

Technoeconomic Environmental Assessment of Greener Technologies for Road Transport and Power Generation to reduce Atmospheric Pollution and its Impact on Human Health In Delhi
Technoeconomic Environmental Assessment of Greener Technologies for Road Transport and Power Generation to reduce Atmospheric Pollution and its Impact on Human Health In Delhi
Bio Enhancing Property of Cow’s Urine In Combination with Antibiotics and Natural Plant Extracts
Bio Enhancing Property of Cow’s Urine In Combination with Antibiotics and Natural Plant Extracts
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Automated Traffic Sign Recognition System For Indian Roads
Automated Traffic Sign Recognition System For Indian Roads
An Affordable System for Early Detection of Breast Cancer using Novel Infrared Imaging and Real Time Diagnosis
An Affordable System for Early Detection of Breast Cancer using Novel Infrared Imaging and Real Time Diagnosis
Admissions Apply Now