About me
PhD student (Nov 2020 - Jul 2024) at the University of Sheffield working on cognitive enhancement using non-invasive brain stimulation in a closed-loop and personalised fashion.
Current projects
Toward MRI-free electric field modelling of transcranial electrical stimulation.
Transcranial direct current stimulation of the right prefrontal cortex during a random-dot motion task for for vigilant attention enhancement.
Recent publication “Opportunities and Obstacles in Non-Invasive Brain Stimulation”, Frontiers in Human Neuroscience, 18, 1385427.
Education
PhD (ongoing) in Personalised Closed-Loop Non-Invasive Brain Stimulation for Cognitive Enhancement
2020 - Present
MSc Cognitive and Computational Neuroscience 2017-2018
BEng (Hons) Mechatronic and Robotic Engineering 2014-2017
Publications
Toth, J., Kurtin, D. L., Brosnan, M., & Arvaneh, M. Opportunities and Obstacles in Non-Invasive Brain Stimulation. Frontiers in Human Neuroscience, 18, 1385427.
Wirth, C., Toth, J., & Arvaneh, M. (2023). Bayesian learning from multi-way EEG feedback for robot navigation and target identification. Scientific Reports, 13(1), 16925.
Toth, J., Patel, R., & Arvaneh, M. (2022, July). Electrophysiological correlates of response time in a vigilant attention task. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 2340-2343). IEEE.
Wirth, C., Toth, J., & Arvaneh, M. (2020). “You Have Reached Your Destination”: A Single Trial EEG Classification Study. Frontiers in neuroscience, 14, 495613.
Azab, A. M., Toth, J., Mihaylova, L. S., & Arvaneh, M. (2018). A review on transfer learning approaches in brain–computer interface. Signal processing and machine learning for brain-machine interfaces, 81-98.)
Wirth, C., Toth, J., & Arvaneh, M. (2020, July). Four-way classification of EEG responses to virtual robot navigation. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 3050-3053). IEEE.
Toth, J., & Arvaneh, M. (2017, July). Facial expression classification using EEG and gyroscope signals. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1018-1021). IEEE.
Experience
Research Associate | University of Sheffield | Jul 2021 - Jul 2022
Clinical trial and commercialisation of remote brain-computer interface based stroke rehabilitation called TeleRegain.
Research Associate | University of Sheffield | Nov 2020 - Feb 2021
Inverse reinforcement learning for the Defence Science Technology Laboratory (DSTL)
Freelance Software Engineer | Feb 2020 - Nov 2020
Using Python and MATLAB to solve technical problems for a variety of clients.
Predominantly working in physiological signals processing, machine learning, and data visualization.
Software Engineer | VBC Instrument Engineering | Dec 2018 - Feb 2020
Python based welding robotics systems used in the aerospace, automotive and nuclear industries.
Research Assistant | University of Sheffield | March 2017 - Jan 2018
Assisting in all aspects of brain-computer interface research. Including writing machine learning code, experiment design, assisting in writing journal / conference papers and mentoring current students.
OnCampus Placement | University of Sheffield | Feb 2017 - June 2017
Real time signal acquisition and processing of physiological signals.
EPSRC funded study on brain-computer interfaces | University of Sheffield | June 2016 - Sep 2016
An Engineering and Physical Sciences Research Council funded study on EEG based brain-computer interfaces.
Video explainer of TeleRegain, a remote, brain-computer interface stroke rehabilitation project.
Undergraduate dissertation project, controlling a robotic arm with facial expressions and error-relation potentials using an EEG device in real-time.