EDUCATION

PhD in Neuroscience | 2018–2024

National Brain Research Centre, Gurgaon, India

MSc (Zoology) | 2014–2016

University of Calcutta, India

BSc (Zoology) | 2011–2014

University of Calcutta, India

WORK EXPERIENCE

Eye and Brain Lab, LVPEI | Mar 2024–Sep 2024

Hyderabad, India

• Clinical neuroimaging protocols — Established and optimized clinical fMRI and eye-tracking pipelines, including the piloting of visual-perception paradigms.

National Brain Research Centre (NBRC) | 2018–2024

Graduate School, Gurgaon, India

• Computational modelling of emotion dynamics — Bayesian hierarchical modelling of large-scale behavioral and fMRI data across healthy and healthy-aging cohorts.
• Advanced neuroimaging analysis — Activity, connectivity, and multivoxel pattern analyses applied to naturalistic experimental paradigms.
• fMRI experimental design & acquisition — Built naturalistic-design setups on a 3T MAGNETOM system (12- and 64-channel coils).

Project Assistant | 2016–2018

University of Calcutta, India

PUBLICATIONS

Peer-reviewed

1. Majumdar, G., Yazin, F., Banerjee, A., Roy, D.. Aging increases orbitofrontal neural volatility during affective inference. Cerebral Cortex, 36(4), April 2026, bhag053. https://doi.org/10.1093/cercor/bhag053
2. Yazin, F., Majumdar, G., Bramley, N., et al.. Fragmentation and multithreading of experience in the default-mode network. Nature Communications, 16, 8401 (2025). https://doi.org/10.1038/s41467-025-63522-y
3. Majumdar, G., Yazin, F., Banerjee, A., Roy, D.. Emotion dynamics as hierarchical Bayesian inference in time. Cerebral Cortex, 33(7), 3750–3772 (2023). https://doi.org/10.1093/cercor/bhac305

Preprints

1. Yazin, F., Majumdar, G., Lucas, C. G., Bramley, N. R., Hoffman, P.. Specialized computations for generalized world modelling in medial prefrontal cortex. bioRxiv, 2026.04.15.718798. (under review)

COLLABORATIVE NETWORK

University of Edinburgh | 2022–Present

School of Philosophy, Psychology and Language Sciences, UK

• Developed a probabilistic encoding model of a virtual-world learning task across three domains, examining the neural basis of learning and inference using multivoxel pattern analysis and model-based fMRI.
• Conducted intersubject and shared multivoxel pattern analyses during naturalistic stimuli spanning multiple sensory modalities.
• Collaborators — Dr Fahd Yazin, Dr Paul Hoffman, Dr Neil Bramley.

TEACHING

Teaching Assistant - MSc and PhD Neuroscience | 2019–2023

National Brain Research Centre (NBRC), India

• fMRI: MR physics, fMRI acquisition, and basic/advanced analysis.
• Designing fMRI experiments and statistical analysis (I & II).

Mentorship - Summer Internship | 2022

• Supervised undergraduate statistics student from ISI Kolkata and IIT Jodhpur.

Peer-reviewed

1. Majumdar, G., Yazin, F., Banerjee, A., Roy, D.. Aging increases orbitofrontal neural volatility during affective inference. Cerebral Cortex, 36(4), April 2026, bhag053. https://doi.org/10.1093/cercor/bhag053
2. Yazin, F., Majumdar, G., Bramley, N., et al.. Fragmentation and multithreading of experience in the default-mode network. Nature Communications, 16, 8401 (2025). https://doi.org/10.1038/s41467-025-63522-y
3. Majumdar, G., Yazin, F., Banerjee, A., Roy, D.. Emotion dynamics as hierarchical Bayesian inference in time. Cerebral Cortex, 33(7), 3750–3772 (2023). https://doi.org/10.1093/cercor/bhac305

Preprints

1. Yazin, F., Majumdar, G., Lucas, C. G., Bramley, N. R., Hoffman, P.. Specialized computations for generalized world modelling in medial prefrontal cortex. bioRxiv, 2026.04.15.718798. (under review)