Computational Modelling of Tinnitus

Related publications

  • Gault, R; McGinnity, TM and Coleman, SA, “A Computational Model of Thalamocortical Dysrhythmia in People With Tinnitus,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 9, pp. 1845-1857, Sept. 2018. doi: 10.1109/TNSRE.2018.2863740. {CiteScore = 5.14, Impact Factor= 3.972, SNIP = 2.004, SJR = 1.152} view here.

  • Gault, R; McGinnity, TM and Coleman, SA, “Modelling the Generation of Tinnitus in a Silent Environment.” In: International Joint Conference on Neural Networks (IJCNN), Vancouver, IEEE, 2016.

  • Gault, R; McGinnity, TM and Coleman, SA, “Computational model of tinnitus from the cochlea to the dorsal cochlea nucleus”, Tinnitus Research Initiative (TRI), 2016.

  • Gault, R; McGinnity, TM and Coleman, SA, “Framework for a minimalist tinnitus graph built from MEG recordings. In: Annual MEG UK Conference (MEGUK15), 2015.

  • Gault, R; McGinnity, TM and Coleman, SA, “Using phenomenological models of tinnitus to bridge the gaps within neural imaging data. In: Annual Translational Medicine Conference (TMED7), 2015.

Modelling retinal encoding

Related publications

  • Gault, R; McGinnity, TM; Coleman, SA and Kerr, D, “Computational intelligence approaches to retinal ganglion cell type modelling” Nottingham Eye Symposium, January 2018.

Additional publications

  • Gault, R; McGinnity, TM and Coleman, SA “Application of Similarity Measures to Magnetoencephalography data.” In: Irish Machine Vision and Image Processing 2014.

  • Gault, R; McGinnity, TM and Coleman, SA, “Investigation into auditory processing of pitch and volume using Magnetoencephalography (MEG). In: Annual Translational Medicine Conference (TMED6), 2014.