The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition. - A. M. Ardi Handojoseno; James M. Shine; Tuan Nghia Nguyen 001; Yvonne Tran; Simon J. G. Lewis; Hung T. Nguyen 001 (EMBC, 2012)

Using EEG spatial correlation, cross frequency energy, and wavelet coefficients for the prediction of Freezing of Gait in Parkinson's Disease patients. - A. M. Ardi Handojoseno; James M. Shine; Tuan Nghia Nguyen 001; Yvonne Tran; Simon J. G. Lewis; Hung T. Nguyen 001 (EMBC, 2013)

Fronto-striatal gray matter contributions to discrimination learning in Parkinson's disease. - Claire O'Callaghan; Ahmed A. Moustafa; Sanne de Wit; James M. Shine; Trevor W. Robbins; Simon J. G. Lewis; Michael Hornberger (Frontiers Comput. Neurosci., 2013)

Prediction of freezing of gait using analysis of brain effective connectivity. - A. M. Ardi Handojoseno; James M. Shine; Moran Gilat; Tuan Nghia Nguyen 001; Yvonne Tran; Simon J. G. Lewis; Hung T. Nguyen 001 (EMBC, 2014)

An EEG study of turning freeze in Parkinson's disease patients: The alteration of brain dynamic on the motor and visual cortex. - A. M. Ardi Handojoseno; Moran Gilat; Quynh Tran Ly; Hayat Chamtie; James M. Shine; Tuan Nghia Nguyen 001; Yvonne Tran; Simon J. G. Lewis; Hung T. Nguyen 001 (EMBC, 2015)

Estimating Large-Scale Network Convergence in the Human Functional Connectome. - Peter T. Bell; James M. Shine (Brain Connect., 2015)

Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives. - James M. Shine; Oluwasanmi Koyejo; Peter T. Bell; Krzysztof J. Gorgolewski; Moran Gilat; Russell A. Poldrack (NeuroImage, 2015)

Dopamine depletion impairs gait automaticity by altering cortico-striatal and cerebellar processing in Parkinson's disease. - Moran Gilat; Peter T. Bell; Kaylena A. Ehgoetz Martens; Matthew Georgiades; Julie M. Hall; Courtney C. Walton; Simon J. G. Lewis; James M. Shine (NeuroImage, 2017)

Principles of dynamic network reconfiguration across diverse brain states. - James M. Shine; Russell A. Poldrack (NeuroImage, 2018)

Transitions in information processing dynamics at the whole-brain network level are driven by alterations in neural gain. - Mike Li; Yinuo Han; Matthew J. Aburn; Michael Breakspear; Russell A. Poldrack; James M. Shine; Joseph T. Lizier (PLoS Comput. Biol., 2019)

Neuromorphic Information Processing with Nanowire Networks. - Zdenka Kuncic; Omid Kavehei; Ruomin Zhu; Alon Loeffler; Kaiwei Fu; Joel Hochstetter; Mike Li; James M. Shine; Adrian Diaz-Alvarez; Adam Z. Stieg; James K. Gimzewski; Tomonobu Nakayama (ISCAS, 2020)

Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series. - Oliver M. Cliff; Leonardo Novelli; Ben D. Fulcher; James M. Shine; Joseph T. Lizier (CoRR, 2020)

Core and matrix thalamic sub-populations relate to spatio-temporal cortical connectivity gradients. - Eli J. Müller; Brandon R. Munn; Luke J. Hearne; Jared B. Smith; Ben D. Fulcher; Aurina Arnatkeviciute; Daniel J. Lurie; Luca Cocchi; James M. Shine (NeuroImage, 2020)

Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task. - James M. Shine; Mike Li; Oluwasanmi Koyejo; Ben D. Fulcher; Joseph T. Lizier (Brain Informatics, 2021)

Brain state kinematics and the trajectory of task performance improvement. - Eli J. Müller; Brandon R. Munn; Holger Mohr; Hannes Ruge; James M. Shine (NeuroImage, 2021)

Modularity and multitasking in neuro-memristive reservoir networks. - Alon Loeffler; Ruomin Zhu; Joel Hochstetter; Adrian Diaz-Alvarez; Tomonobu Nakayama; James M. Shine; Zdenka Kuncic (Neuromorph. Comput. Eng., 2021)

Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks. - Natasha L. Taylor; Adora M. DSouza; Brandon R. Munn; Jinglei Lv; Laszlo Zaborszky; Eli J. Müller; G. Wainstein; Fernando Calamante; James M. Shine (NeuroImage, 2022)

The feasibility of artificial consciousness through the lens of neuroscience. - Jaan Aru; Matthew E. Larkum; James M. Shine (CoRR, 2023)

On the information-theoretic formulation of network participation. - Pavle Cajic; Dominic Agius; Oliver M. Cliff; James M. Shine; Joseph T. Lizier; Ben D. Fulcher (CoRR, 2023)

Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. - Andrea I. Luppi; Joana Cabral; Rodrigo Cofré; Pedro A. M. Mediano; Fernando E. Rosas; Abid Y. Qureshi; Amy Kuceyeski; Enzo Tagliazucchi; Federico Raimondo; Gustavo Deco; James M. Shine; Morten L. Kringelbach; et al. (NeuroImage, 2023)

Cardiometabolic state links neurovascular burden with brain structure and function: Evidence from EEG and MRI. - Daniel Franco-O'byrne; Ana Maria Castro-Laguardia; Carolina Delgado; James M. Shine; David Huepe; Raul González-Gomez; Enzo Tagliazucchi; Cecilia Gonzalez Campo; Agustín Ibáñez; Vicente Medel (NeuroImage, 2025)

A burst-dependent thalamocortical substrate for perceptual awareness. - Christopher J. Whyte; Eli J. Müller; Jaan Aru; Matthew E. Larkum; Yohan John; Brandon R. Munn; James M. Shine (PLoS Comput. Biol., 2025)

Unifying concepts in information-theoretic time-series analysis. - Annie G. Bryant; Oliver M. Cliff; James M. Shine; Ben D. Fulcher; Joseph T. Lizier (CoRR, 2025)

The role of gain neuromodulation in layer-5 pyramidal neurons. - Alejandro Rodriguez-Garcia; Christopher J. Whyte; Brandon R. Munn; Jie Mei; James M. Shine; Srikanth Ramaswamy (CoRR, 2025)

Cross Mutual Information. - Chetan Gohil; Oliver M. Cliff; James M. Shine; Ben D. Fulcher; Joseph T. Lizier (CoRR, 2025)