An up to date list of publications may be available at my Google Scholar page at the whim of its indexing.
Including full-length journal and conference articles & non-archival extended abstracts (denoted by †).
Computational Cognitive Neuroscience
Composing the value signal for dopamine-mediated learning
Pranav Mahajan, Ben Seymour
Reinforcement Learning and Decision Making Conference (RLDM 2025†) [poster]
(submitted to Science)
Balancing safety and efficiency in human decision making
Pranav Mahajan, Shuangyi Tong, Sang Wan Lee, Ben Seymour
eLife (2025) (post-2023 reviewed preprint model: “important,” “convincing”) [doi] [eLife digest]
& Computational and Systems Neuroscience Conference (COSYNE 2022†) [poster]
Homeostasis after injury: How intertwined inference and control underpin post-injury pain and behaviour
Pranav Mahajan, Peter Dayan, Ben Seymour
PLOS Computational Biology (2025) [in press]
& Cognitive Computational Neuroscience conference (CCN 2025†) [poster]
Forward and reverse engineering the pain system: from computational neuroscience to neuro-engineering
Pranav Mahajan, Ben Seymour
PAIN (2025) [doi]
Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue
Flavia Mancini, Pranav Mahajan, Anna á V Guttesen, …, Ben Seymour
Brain (2024) [doi]
Discounting and drug seeking in biological hierarchical reinforcement learning
Vardhan Palod, Pranav Mahajan, Veeky Baths, Boris Gutkin
Cognitive Computational Neuroscience Conference (CCN 2025, full paper) [openreview][poster]
Doing what’s not wanted: Conflict in incentives and misallocation of behavioural control can lead to drug-seeking despite adverse outcomes
Pranav Mahajan, Veeky Baths, Boris Gutkin
Addiction Neuroscience (2023) [doi]
Quantifying synchronisation in a biologically inspired neural network
Pranav Mahajan, Advait Rane, Swapna Sasi, Basabdatta Sen Bhattacharya
IEEE-International Joint Conference on Neural Networks (IJCNN 2021, full paper) [doi][pdf]
& Bernstein Conference (2020, EA) [doi]
Brain-Inspired Machine Learning
Mind the Gap: Measuring and mitigating the stated-revealed preference gap in LLMs
Alexander Andonov, Pranav Mahajan, Ihor Kendiukhov, Hussain Syed, Lydia Nottingham
in preparation
Neural Associative Skill Memories for safer robotics and modelling human sensorimotor repertoires
Pranav Mahajan, Mufeng Tang, T. Ed Li, Ioannis Havoutis, Ben Seymour
Neural Computation (2025) [in press]
& International Workshop on Active Inference (IWAI 2024, Spotlight†) [poster]
AI applications for Digital Health
Quantitative Movement Testing (QMT): A computer vision pipeline for measuring movements from handheld monocular videos
Pranav Mahajan, Amanda Wall, Shuangyi Tong, Eoin Kelleher, Anushka Soni, Ben Seymour
Annual Podium Conference on Sports Medicine & Technology (2024†) [poster]
& in preparation
Acoustic and language based deep learning approaches for Alzheimer's dementia detection from spontaneous speech
Pranav Mahajan, Veeky Baths
Frontiers in Aging Neuroscience (2021) [doi]