Selectivity for low-level features of objects in the human ventral stream. - Timothy J. Andrews; Alex Clarke 001; Philip Pell; Tom Hartley (NeuroImage, 2010)

The Evolution of Meaning: Spatio-temporal Dynamics of Visual Object Recognition. - Alex Clarke 001; Kirsten I. Taylor; Lorraine K. Tyler (J. Cogn. Neurosci., 2011)

Objects and Categories: Feature Statistics and Object Processing in the Ventral Stream. - Lorraine K. Tyler; Shannon Chiu; Jie Zhuang; Billi Randall; Barry Devereux; Paul Wright 001; Alex Clarke 001; Kirsten I. Taylor (J. Cogn. Neurosci., 2013)

Learning Warps Object Representations in the Ventral Temporal Cortex. - Alex Clarke 001; Philip Pell; Charan Ranganath; Lorraine K. Tyler (J. Cogn. Neurosci., 2016)

Oscillatory Dynamics of Perceptual to Conceptual Transformations in the Ventral Visual Pathway. - Alex Clarke 001; Barry J. Devereux; Lorraine K. Tyler (J. Cogn. Neurosci., 2018)

Neural oscillations during conditional associative learning. - Alex Clarke 001; Brooke M. Roberts; Charan Ranganath (NeuroImage, 2018)

On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMG. - Filip Urh; Damjan Strnad; Alex Clarke 001; Dario Farina; Ales Holobar (EMBC, 2020)

Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals. - Alexander Kenneth Clarke; Dario Farina (CoRR, 2021)

Deep Learning for Robust Decomposition of High-Density Surface EMG Signals. - Alexander Kenneth Clarke; Seyed Farokh Atashzar; Alessandro Del Vecchio; Deren Y. Barsakcioglu; Silvia Muceli; Paul Bentley; Filip Urh; Ales Holobar; Dario Farina (IEEE Trans. Biomed. Eng., 2021)

Human Biophysics as Network Weights: Conditional Generative Models for Ultra-fast Simulation. - Shihan Ma; Alexander Kenneth Clarke; Kostiantyn Maksymenko; Samuel Deslauriers-Gauthier; Xinjun Sheng; Xiangyang Zhu; Dario Farina (CoRR, 2022)

Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios. - Shihan Ma; Bo Hu; Tianyu Jia; Alexander Kenneth Clarke; Blanka Zicher; Arnault H. Caillet; Dario Farina; José C. Príncipe (NeurIPS, 2024)

HarmonICA: Neural non-stationarity correction and source separation for motor neuron interfaces. - Alexander Kenneth Clarke; Agnese Grison; Irene Mendez Guerra; Pranav Mamidanna; Shihan Ma; Silvia Muceli; Dario Farina (CoRR, 2024)

Unlocking the Full Potential of High-Density Surface EMG: Novel Non-Invasive High-Yield Motor Unit Decomposition. - Agnese Grison; Irene Mendez Guerra; Alexander Kenneth Clarke; Silvia Muceli; Jaime Ibáñez Pereda; Dario Farina (CoRR, 2024)

NeuroMotion: Open-source platform with neuromechanical and deep network modules to generate surface EMG signals during voluntary movement. - Shihan Ma; Irene Mendez Guerra; Arnault H. Caillet; Jiamin Zhao; Alexander Kenneth Clarke; Kostiantyn Maksymenko; Samuel Deslauriers-Gauthier; Xinjun Sheng; Xiangyang Zhu; Dario Farina (PLoS Comput. Biol., 2024)

Deep Metric Learning With Locality Sensitive Mining for Self-Correcting Source Separation of Neural Spiking Signals. - Alexander Kenneth Clarke; Dario Farina (IEEE Trans. Cybern., 2024)

A Particle Swarm Optimized Independence Estimator for Blind Source Separation of Neurophysiological Time Series. - Agnese Grison; Alexander Kenneth Clarke; Silvia Muceli; Jaime Ibáñez; Aritra Kundu; Dario Farina (IEEE Trans. Biomed. Eng., 2025)

Conditional Generative Models for Simulation of EMG During Naturalistic Movements. - Shihan Ma; Alexander Kenneth Clarke; Kostiantyn Maksymenko; Samuel Deslauriers-Gauthier; Xinjun Sheng; Xiangyang Zhu; Dario Farina (IEEE Trans. Neural Networks Learn. Syst., 2025)