Matt W. Jones

According to our database, Matt W. Jones authored at least 8 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

BrainSLAM: SLAM on Neural Population Activity Data.

Kipp McAdam Freud, Nathan F. Lepora, Matt W. Jones, Cian O'Donnell

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

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

2021

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

2019

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

2016

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

2012

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