Publications List

An up to date list of publications may be available at my Google Scholar page at the whim of its indexing.

Publications List

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] 

bioRxiv [doi] [PDF]

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] [PDF]

& 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) [doi][PDF]

& 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] [PDF]

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] [PDF]

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: How Elicitation Protocols Shape the Stated-Revealed Preference Gap in Language Models

Pranav Mahajan, Ihor Kenduikhov, Syed Hussain, Lydia Nottingham

arXiv [doi] [PDF]

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) [doi] [PDF]

& International Workshop on Active Inference (IWAI 2024, Spotlight†) [poster]

AI applications for Digital Health

Quantitative Movement Testing (QMT): Measuring patient movements from a single smartphone video

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] [PDF]