Thomas Delaney, Ph.D.

Project Researcher, International Research Center for Neurointelligence, The University of Tokyo
Email: thomasjdelaney [AT] ircn.jp

My research interests lie in the use of deep learning to model perception in humans, especially visual perception. Specifically, I am interested in using these models to investigate potential underlying causes for ASD symptoms. I am currently using deep convolutional neural networks to asses the effect of imbalances in excitation and inhibition on visual perception. I also plan to use this Hallucination Machine to manifest the effects of these imbalances in a virtual reality environment.
During my PhD, my research was based around modelling the responses of large populations of neurons. I implemented the ‘Spectral Rejection’ method to detect functional communities in correlation based networks of neurons. I also invented a novel method for modelling the number of active neurons in a population that also captures the association between the neurons in that population. Finally, I created a biophysical model for the fluorescence trace produced by the soma of a neuron containing a fluorescent calcium indicator.

Career

Career Experience

September 2020 – present Project Researcher, International Research Center for Neurointelligence, The University of Tokyo
2018 Reseach Intern, CheckRisk Plc.
2015 – 2016 Data Engineer, Edinburgh Airport Plc.
2011 – 2014 Consultant Software Engineer, First Derivatives Plc.

Education

2020 Ph.D. in Computer Science, University of Bristol
2015 MSc in Informatics, University of Edinburgh
2011 BA in Mathematics, Trinity College Dublin

Awards

  • University of Edinburgh Informatics UK/EU Master’s Scholarship (2014/2015)
  • University of Bristol studentship, funded by EPSRC
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