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
Dissociating Cerebellar Regions Involved in Formulating and Articulating Words and Sentences.
Parker Jones O, Geva S, Prejawa S, Hope TMH, Oberhuber M et al. (2024), Neurobiology of language (Cambridge, Mass.), 5(3), 795-817
BibTeX
@article{dissociatingcer-2024/8,
title={Dissociating Cerebellar Regions Involved in Formulating and Articulating Words and Sentences.},
author={Parker Jones O, Geva S, Prejawa S, Hope TMH, Oberhuber M et al.},
journal={Neurobiology of language (Cambridge, Mass.)},
volume={5},
pages={795-817},
publisher={MIT Press},
year = "2024"
}
Dynamic Network Analysis of Electrophysiological Task Data
Gohil C, Kohl O, Huang R, van Es MWJ, Jones OP et al. (2024), Imaging Neuroscience
Oscillating latent dynamics in robot systems during walking and reaching
Parker Jones O, Mitchell A, Yamada J, Merkt W, Geisert M et al. (2024), Scientific Reports, 14(1)
Mai Ho'om??una i ka 'Ai: Language Models Improve Automatic Speech Recognition in Hawaiian
Chaparala K, Zarrella G, Fischer BT, Kimura L & Jones OP (2024)
BibTeX
@misc{maihoomunaikaai-2024/4,
title={Mai Ho'om??una i ka 'Ai: Language Models Improve Automatic Speech
Recognition in Hawaiian},
author={Chaparala K, Zarrella G, Fischer BT, Kimura L & Jones OP},
year = "2024"
}
DreamUp3D: object-centric generative models for single-view 3D scene understanding and real-to-sim transfer
Wu Y, S??ez de Oc??riz Borde H, Collins J, Jones OP & Posner I (2024), IEEE Robotics and Automation Letters, 9(4), 3291-3298
BibTeX
@article{dreamupdobjectc-2024/2,
title={DreamUp3D: object-centric generative models for single-view 3D scene understanding and real-to-sim transfer},
author={Wu Y, S??ez de Oc??riz Borde H, Collins J, Jones OP & Posner I},
journal={IEEE Robotics and Automation Letters},
volume={9},
pages={3291-3298},
publisher={IEEE},
year = "2024"
}
Interpretable many-class decoding for MEG
Csaky R, Van Es M, Parker Jones O & Woolrich M (2023), NeuroImage, 282
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
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
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)
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"
}