2024

• Sensory expectations shape neural population dynamics in motor circuits. bioRxiv. [Link]

• An application-based taxonomy for brain–computer interfaces. Nature Biomedical Engineering. [Link]

• A mathematical language for linking fine-scale structure in spikes from hundreds to thousands of neurons with behaviour. arXiv. [Link]

• Accurate neural control of a hand prosthesis by posture-related activity in the primate grasping circuit. Neuron. [Link]

• MotorNet: a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks. eLife. [Link]

2023

• Myomatrix arrays for high-definition muscle recording. eLife. [Link]

2020

• A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping. Proceedings of the National Academy of Sciences of the United States of America. [Link]

• Aiming for stable control. Nature Neuroscience. [Link]

2018

• Neural coding of intended and executed grasp force in macaque areas AIP, F5, and M1. Scientific Reports. [Link]

• Neural dynamics of variable grasp movement preparation in the macaque fronto-parietal network. Journal of Neuroscience. [Link]

• Population coding of grasp and laterality-related information in the macaque fronto-parietal network. Scientific Reports. [Link]

2016

• Neural population dynamics during reaching are better explained by a dynamical system than representational tuning. PLOS Computational Biology. [Link]

• hebbRNN: A reward-modulated Hebbian learning rule for recurrent neural networks. The Journal of Open Source Software. [Link]

• Uniting functional network topology and oscillations in the fronto-parietal single unit network of behaving primates. eLife. [Link]

2015

• Predicting reaction time from the neural state space of the premotor and parietal grasping network. Journal of Neuroscience. [Link]

2011

• Rapid motor responses quickly integrate visuospatial task constraints. Experimental Brain Research. [Link]