Publications

2025

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

  • Compositional neural dynamics during reaching. bioRxiv [Link]

  • ATHENA: Automatically Tracking Hands Expertly with No Annotations. bioRxiv [Link]

  • A paradigm to study the learning of muscle activity patterns outside of the natural repertoire. Journal of Neurophysiology [Link]

  • A Context-Free Model of Savings in Motor Learning. eLife [Link]

  • Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activity. bioRxiv [Link]

2024

  • 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 (news & views) [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]