Anxiety Reduction through Detachment: Subjective, Physiological, and Neural Effects. - Raffael Kalisch; Katja Wiech; Hugo D. Critchley; Ben Seymour; John P. O'Doherty; David A. Oakley; Philip Allen; Raymond J. Dolan (J. Cogn. Neurosci., 2005)

Modulation of pain processing in hyperalgesia by cognitive demand. - Katja Wiech; Ben Seymour; Raffael Kalisch; Klaas Enno Stephan; Martin Koltzenburg; Jon Driver; Raymond J. Dolan (NeuroImage, 2005)

Contingency awareness in human aversive conditioning involves the middle frontal gyrus. - Ronald McKell Carter; John P. O'Doherty; Ben Seymour; Christof Koch; Raymond J. Dolan (NeuroImage, 2006)

The misbehavior of value and the discipline of the will. - Peter Dayan; Yael Niv; Ben Seymour; Nathaniel D. Daw (Neural Networks, 2006)

Dread and the Disvalue of Future Pain. - Giles W. Story; Ivaylo Vlaev; Ben Seymour; Joel S. Winston; Ara Darzi; Raymond J. Dolan (PLoS Comput. Biol., 2013)

Anticipation and Choice Heuristics in the Dynamic Consumption of Pain Relief. - Giles W. Story; Ivo Vlaev; Peter Dayan; Ben Seymour; Ara Darzi; Raymond J. Dolan (PLoS Comput. Biol., 2015)

Parallel reward and punishment control in humans and robots: Safe reinforcement learning using the MaxPain algorithm. - Stefan Elfwing; Ben Seymour (ICDL-EPIROB, 2017)

Pain and self-preservation in autonomous robots: From neurobiological models to psychiatric disease. - Luca Piccolo; Fabio Dalla Libera; Andrea Bonarini; Ben Seymour; Hiroshi Ishiguro (ICDL-EPIROB, 2017)

Decoding acute pain with combined EEG and physiological data. - Jenessa Lancaster; Hiroaki Mano; Daniel E. Callan; Mitsuo Kawato; Ben Seymour (NER, 2017)

Response heterogeneity: Challenges for personalised medicine and big data approaches in psychiatry and chronic pain. - Agnes Norbury; Ben Seymour (F1000Research, 2018)

Toward high-performance, memory-efficient, and fast reinforcement learning - Lessons from decision neuroscience. - Ben Seymour; Joel Z. Leibo; Su Jin An; Sang Wan Lee (Sci. Robotics, 2019)

Using a BCI Prosthetic Hand to Control Phantom Limb Pain. - Takufumi Yanagisawa; Ryohei Fukuma; Ben Seymour; Koichi Hosomi; Haruhiko Kishima; Takeshi Shimizu; Hiroshi Yokoi; Masayuki Hirata; Toshiki Yoshimine; Yukiyasu Kamitani; Youichi Saitoh (Brain-Computer Interface Research (7), 2019)

Hierarchical models of pain: Inference, information-seeking, and adaptive control. - Ben Seymour; Flavia Mancini (NeuroImage, 2020)

Automated Assessment of Pain (AAP) and Multimodal Sensing Grand Challenge for Next-Gen Pain Assessment (AI4Pain). - Zakia Hammal; Steffen Walter 001; Nadia Berthouze; Raul Fernandez Rojas; Ben Seymour; Roland Goecke (ACII (Workshops and Demos), 2024)

The AI4Pain Grand Challenge 2024: Advancing Pain Assessment with Multimodal fNIRS and Facial Video Analysis. - Raul Fernandez Rojas; Calvin Joseph; Niraj Hirachan; Ben Seymour; Roland Goecke (ACII (Workshops and Demos), 2024)

Neural Associative Skill Memories for safer robotics and modelling human sensorimotor repertoires. - Pranav Mahajan; Mufeng Tang; T. Ed Li; Ioannis Havoutis; Ben Seymour (CoRR, 2025)