@vaibhavtripathi
Neuroscientist | Asst. Prof. at IIT Gandhinagar Working on precision brain networks, thalamus, working memory, attention, and meditation Prev: Postdoctoral Fellow@Buckner Lab, Harvard; PhD@Boston University; II(I)T Delhi; IISc
He highlighted the key aspects of studying aging, the limitations of developing brain age prediction tools, as it is aging that we are keen on studying and not only the age of an individual (which can always be asked). It was a brilliant talk and lovely interaction.
Max talked about his recent paper in Nature Aging on DunedinPACNI: a method to understand brain age and aging, and how they used the Dunedin dataset to create this useful tool to understand how people age.
We had the privilege of hosting @maxwellelliott.bsky.social for the Cognitive and Brain Sciences Seminar yesterday. Max is currently an Assistant Professor at the University of Minnesota, and we worked together as Postdocs at Harvard.
www.youtube.com/watch?v=3_D7...
It was fun going through talks across such broad areas at intersection of biology and AI. Excited about the development of the field in the country.
Another NeuroAI Conclave was organized at IIT Gandhinagar by Sharad and Ashutosh. I presented my work on use of AI models to make predictive models of fMRI based FC to predict function in healthy individuals, tumor patients and predicting tau/amyloid in AD.
I talked about the recent advancements in NeuroAI that we are starting to work on from developing better learning rules for ANNs, finding representation similarities between human and animal vision models to developing hybrid SNNs and CNN models for optimized object detection.
So glad to see the activity around NeuroAI happening in Ahmedabad-Gandhinagar area. First, I had a lovely discussion at Ahmedabad University's NeuroAI symposium. Thanks Rupesh Chillale for inviting me. It was lovely meeting Shihab Shamma after about 10 years.
Met with amazing scientists Neeraj Kumar and Rahul Kumar as well, and discussed potential areas of collaboration.
IIT Hyderabad: Also had a great time playing for the IIT Gandhinagar TT team at the Inter IIT sports meet. Even though we didn't go further in the tournament, the women's TT & men's badminton team did such a great job, was glad to support them.
I had a great time sharing the stage with Profs. Rahul Garg and Vignesh Muralidharan discussing the psychometric, neuroimaging, and genomic-level understanding of meditative processes in the brain and body.
INCOFYRA 2026: Organized by SVYASA in Bengaluru, a beautiful campus dedicated to research and teaching the art and science of Yogic practices. I discussed some of our findings related to the neuroscience of meditation and yogic processes.
It was a diverse conference with talks ranging from psychological perspectives on Buddhist and Yogic thought processes to neuroscientific discoveries. It was lovely talking about my work on the Yogic insights into Consciousness and mind sciences backed by the neuroscience of yoga
Had a great experience at some of the lovely conferences in the last couple of months
Tibet House conference: I gave a talk at the Conference on Neuroscience and Psychology, organized by Tibet House in Delhi in November.
Had so much learning myself in teaching this class. Looking forward to the next iteration of the course and what all new ideas the students think about.
#NeuroAI
#NeuroTech
#BrainInspiredModels
#AI #ML #CNN #ANN
Kajal and Amisha analyzed how connectivity from humans and chimpanzees could be utilized for object recognition in a modified CNN architecture. JAY RANA looked into SNNs for object detection. And Aman Oberoi analyzed curiosity as a parameter in exploration games.
Rajat and Nikhilesh looked into alternative learning rule called NoProp and implemented it themselves, pushing the envelope on model accuracies. Satvik and Sambhav did an amazing job of combining SNNs and CNNs for reduction in the energy demands behind inference which has mind blowing potentials.
Arya also looked into alternative learning rules like forward-forward and investigated 20 different alternative goodness functions, which he covered in the paper here: arxiv.org/abs/2511.18567. Will share more about these papers in a separate post.
It was a challenging course, but I had so much fun learning and teaching. The students have developed many amazing projects - Arya looked into human and cat vision and analyzed how different ANNs would look at the world from human and cat perspectives. The paper is here: arxiv.org/abs/2511.02404
investigated relationships between visual, auditory, and language networks in both humans and machines and how we can find convergences. We explored neurosymbolic AI models, including Spiking Neural Networks and Adaptive Resonance Theory, Explainable AI and how AI can aid in neural data analysis.
We covered the basics of neuronal firing, perceptron models, brain inspired connectivity models (based on the recent high resolution mapping of Fly, Mouse and Human brains), learning rules other than backpropagation,
As the current semester comes to a close, I had the pleasure of teaching the NeuroAI: Neuroscience & Artificial Intelligence course at the IIT Gandhinagar, possibly one of the first time it was offered in India. The course aims to create an understanding of how the brain can inspire newer AI models
Second-year M.Sc. Cognitive and Brain Sciences students showcased their summer internship research through posters in mid-September, featuring diverse projects from top institutions in India and abroad. Proud of their dedication and curiosity! 🧠✨
#CognitiveScience #IITGandhinagar
#HappyDiwali to everyone who celebrates 🪔🎆🪔
Great piece by @jonathanjarry.bsky.social on the descent of Sabine Hossenfelder, from science communicator to contrarian outrage-monger www.mcgill.ca/oss/article/...
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)
Amazing work led by Jingnan! Pooling in task and rest data can give us a lot of discovery potential like discovering hard to find networks in the thalamus (bulk of my postdoc work with Randy). Task data can be used to define networks and activations from left out runs can be investigated. Cool work!
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
A week full of gratitude and cheer at the Integrative Neusocience & Technology (INT) Lab, IIT Gandhinagar — celebrating Rhilee’s birthday 🎂 and Teacher’s Day 🙏💫