This finding suggests a novel and efficient strategy of using only task-based data to estimate networks within an individual’s own anatomy as well as estimate the task response within those networks. (9/13)

By pooling extensive resting-state and task data, we were able to triple the amount of data available for analysis within each individual, enabling precise mapping of five higher-order association networks within the thalamus. (6/13)

We also kicked off our very first data collection for the Precision Imaging study — exploring brain dynamics through EEG 🧠⚡

Excited and grateful to see this amazing group of researchers and trainees working to understand the complexities of the human brain

Hoping that one day meditation science would be as advanced as the science on exercise and this work is some efforts towards that.

So, how does this help? It furthers the science towards objective measures of the degree and depth of meditation. And once we can measure it, we can improve it. It might be helpful for those interested in taking their meditation experiences to a deeper level.

The dynamics would represent a slowing down of brain processes but unlike sleep which is shown by even slower oscillations. It can be understood as a stage between fully awake and sleep, something which ancient texts on Yoga have pointed out as Turiya.

Compared to control participants who are listening to relaxing music where nothing drastic is happening.

Also, the aperiodic signals (1/f slope) have a sharp change in exponent during the relaxation phase - the spectrogram flattens out.

Something interesting is happening in the brain during SKY. The breathing period triggers theta oscillations in the brain, which leads to an increase in low theta and delta oscillations during the meditation period coupled with a sharp decrease in alpha oscillations.

Fascinated and inspired by the book. Also, because I have an Erdos number of 5, so have some connection to the genius mathematician.

Another thing I liked about his approach to problem solving was that he said that truly wonderful problems tend to fight back. This is true for most sciences; the things worthy of knowing will take their time, so you have to be patient and determined.

developed that fascination in those who came in contact with him. One thing that caught my attention was his claim that mathematics is infinite; even when physics, biology, and possibly neuroscience are solved, there would still be mathematics to work on.

He was truly focused on mathematics, worked 19 hours a day, would reach to some mathematician's place unannounced and say "My brain is open" as a means to start collaboration. He had his eccentricities, but he loved his field more than anything and

We are hosting an outreach program in Chicago and Bay area, interested people can check it out here: iitgn.ac.in/assets/pdfs/...
Deadline extended to few more days.

iitgn.ac.in/careers/facu...