Biography
Oiwi leads the Neural Processing Lab (PNPL) at the University of Oxford. His aim is to build bridges between deep learning and the brain, for example by accelerating the development of Brain Computer Interfaces (BCIs), but also by developing deep learning methods for interpreting brain data and leveraging principles of systems neuroscience to inform machine learning. Oiwi completed a DPhil focused on Natural Language Processing (NLP) for low-resource languages. He further trained as a postdoc in Imaging Neuroscience at UCL and Oxford, and in Applied Artificial Intelligence at the ORI. He was previously a lecturer in Medicine at St Peter's College, Oxford, and is currently Hugh Price Fellow in Computer Science at Jesus College, Oxford.
Recent Publications
Interpretable many-class decoding for MEG
Csaky R, Van Es M, Parker Jones O & Woolrich M (2023), NeuroImage, 282
BibTeX
@article{interpretablema-2023/10,
title={Interpretable many-class decoding for MEG},
author={Csaky R, Van Es M, Parker Jones O & Woolrich M},
journal={NeuroImage},
volume={282},
number={120396},
publisher={Elsevier},
year = "2023"
}
Group-level brain decoding with deep learning
Csaky R, Van Es M, Parker Jones O & Woolrich M (2023), Human Brain Mapping, 44(17), 6105-6119
BibTeX
@article{grouplevelbrain-2023/9,
title={Group-level brain decoding with deep learning},
author={Csaky R, Van Es M, Parker Jones O & Woolrich M},
journal={Human Brain Mapping},
volume={44},
pages={6105-6119},
publisher={Wiley},
year = "2023"
}
VAE-Loco: versatile quadruped locomotion by learning a disentangled gait representation
Mitchell AL, Merkt WX, Geisert M, Gangapurwala S, Engelcke M et al. (2023), IEEE Transactions on Robotics, 39(5), 3805-3820
BibTeX
@article{vaelocoversatil-2023/7,
title={VAE-Loco: versatile quadruped locomotion by learning a disentangled gait representation},
author={Mitchell AL, Merkt WX, Geisert M, Gangapurwala S, Engelcke M et al.},
journal={IEEE Transactions on Robotics},
volume={39},
pages={3805-3820},
publisher={IEEE},
year = "2023"
}
Word-level prosodic and metrical influences on Hawaiian glottal stop realization
Davidson L & Parker Jones O (2023), Phonetica, 80(3–4), 225-258
BibTeX
@article{wordlevelprosod-2023/6,
title={Word-level prosodic and metrical influences on Hawaiian glottal stop realization},
author={Davidson L & Parker Jones O},
journal={Phonetica},
volume={80},
pages={225-258},
publisher={De Gruyter},
year = "2023"
}
Touching a NeRF: leveraging neural radiance fields for tactile sensory data generation
Zhong S, Albini A, Parker Jones O, Maiolino P & Posner H (2023), 205, 1618-1628
BibTeX
@inproceedings{touchinganerfle-2023/3,
title={Touching a NeRF: leveraging neural radiance fields for tactile sensory data generation},
author={Zhong S, Albini A, Parker Jones O, Maiolino P & Posner H},
booktitle={7th Annual Conference on Robot Learning (CoRL 2023)},
pages={1618-1628},
year = "2023"
}
From Primates to Robots: Emerging Oscillatory Latent-Space Dynamics for Sensorimotor Control
Mitchell A, Parker Jones O, Yamada J, Merkt W, Havoutis I et al. (2023)
BibTeX
@inproceedings{fromprimatestor-2023/1,
title={From Primates to Robots: Emerging Oscillatory Latent-Space Dynamics for Sensorimotor Control},
author={Mitchell A, Parker Jones O, Yamada J, Merkt W, Havoutis I et al.},
booktitle={2023 Conference on Cognitive Computational Neuroscience},
year = "2023"
}
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation
Hung C-M, Zhong S, Goodwin W, Jones OP, Engelcke M et al. (2022)
BibTeX
@misc{reachingthrough-2022/10,
title={Reaching Through Latent Space: From Joint Statistics to Path Planning in
Manipulation},
author={Hung C-M, Zhong S, Goodwin W, Jones OP, Engelcke M et al.},
year = "2022"
}
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation
Hung C-M, Zhong S, Goodwin W, Jones OP, Engelcke M et al. (2022)
BibTeX
@misc{reachingthrough-2022/10,
title={Reaching Through Latent Space: From Joint Statistics to Path Planning in
Manipulation},
author={Hung C-M, Zhong S, Goodwin W, Jones OP, Engelcke M et al.},
year = "2022"
}
Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text
Jones OP & Shillingford B (2022)
BibTeX
@misc{composingrnnsan-2022/7,
title={Composing RNNs and FSTs for Small Data: Recovering Missing Characters in
Old Hawaiian Text},
author={Jones OP & Shillingford B},
year = "2022"
}
Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text
Jones OP & Shillingford B (2022)
BibTeX
@misc{composingrnnsan-2022/7,
title={Composing RNNs and FSTs for Small Data: Recovering Missing Characters in
Old Hawaiian Text},
author={Jones OP & Shillingford B},
year = "2022"
}
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D
Wu Y, Jones OP & Posner I (2022)
BibTeX
@misc{obposeleveragin-2022/6,
title={ObPose: Leveraging Pose for Object-Centric Scene Inference and
Generation in 3D},
author={Wu Y, Jones OP & Posner I},
year = "2022"
}
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D
Wu Y, Jones OP & Posner I (2022)
BibTeX
@misc{obposeleveragin-2022/6,
title={ObPose: Leveraging Pose for Object-Centric Scene Inference and
Generation in 3D},
author={Wu Y, Jones OP & Posner I},
year = "2022"
}
Group-level Brain Decoding with Deep Learning
Csaky R, Es MV, Jones OP & Woolrich M (2022)
BibTeX
@misc{grouplevelbrain-2022/5,
title={Group-level Brain Decoding with Deep Learning},
author={Csaky R, Es MV, Jones OP & Woolrich M},
year = "2022"
}
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation
Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al. (2022)
BibTeX
@misc{vaelocoversatil-2022/5,
title={VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait
Representation},
author={Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al.},
year = "2022"
}
Group-level Brain Decoding with Deep Learning
Csaky R, Es MV, Jones OP & Woolrich M (2022)
BibTeX
@misc{grouplevelbrain-2022/5,
title={Group-level Brain Decoding with Deep Learning},
author={Csaky R, Es MV, Jones OP & Woolrich M},
year = "2022"
}
