Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats. - Kevin Lloyd; Nadine Becker; Matthew W. Jones; Rafal Bogacz (Frontiers Comput. Neurosci., 2012)

A hidden Markov model for decoding and the analysis of replay in spike trains. - Marc Box; Matt W. Jones; Nick Whiteley (J. Comput. Neurosci., 2016)

Locus Coeruleus tracking of prediction errors optimises cognitive flexibility: An Active Inference model. - Anna C. Sales; Karl J. Friston; Matthew W. Jones; Anthony E. Pickering; Rosalyn J. Moran (PLoS Comput. Biol., 2019)

Learning offline: memory replay in biological and artificial reinforcement learning. - Emma L. Roscow; Raymond Chua; Rui Ponte Costa; Matt W. Jones; Nathan F. Lepora (CoRR, 2021)

A Time Series Approach to Parkinson's Disease Classification from EEG. - Amarpal Sahota; Amber Roguski; Matthew W. Jones; Michal Rolinski; Alan L. Whone; Raúl Santos-Rodriguez; Zahraa S. Abdallah (CoRR, 2023)

BrainSLAM: SLAM on Neural Population Activity Data. - Kipp McAdam Freud; Nathan F. Lepora; Matt W. Jones; Cian O'Donnell (AAMAS, 2024)

Investigating Brain Connectivity and Regional Statistics from EEG for Early Stage Parkinson's Classification. - Amarpal Sahota; Amber Roguski; Matthew W. Jones; Zahraa S. Abdallah; Raúl Santos-Rodríguez (MLSP, 2024)

Reconstructing Global Daily CO2 Emissions via Machine Learning. - Tao Li; Lixing Wang; Zihan Qiu; Philippe Ciais; Taochun Sun; Matthew W. Jones; Robbie M. Andrew; Glen P. Peters; Piyu Ke; Xiaoting Huang; Robert B. Jackson; Zhu Liu (CoRR, 2024)

Human-inspired Perspectives: A Survey on AI Long-term Memory. - Zihong He; Weizhe Lin; Hao Zheng; Fan Zhang; Matt W. Jones; Laurence Aitchison; Xuhai Xu; Miao Liu; Per Ola Kristensson; Junxiao Shen (CoRR, 2024)