Mixed-Selective Organization of Reach and Grasp in the Primate Fronto-Parietal Network

Progress in Neurobiology (2026)

A Fathian, SJ Lehmann, JA Michaels, H Scherberger

High performance sorting of motor unit action potentials with EMUsort

bioRxiv (2026)

S O'Connell, JA Michaels, R Wang, S Mamidipaka, M Venkatesh, N Aresh, et al.

Reward-driven emergence of auditory pattern encoding in the primate motor system

bioRxiv (2026)

S Neupane, M Kashefi, R Kersten, JA Pruszynski, JA Grahn, JA Michaels

Sensory expectations and prediction error during feedback control in the human brain

bioRxiv (2026)

M Emanuele, PL Gribble, JA Pruszynski, JA Michaels, J Diedrichsen

Sensory expectations shape neural population dynamics in motor circuits

Nature (2025)

JA Michaels, M Kashefi, J Zheng, O Codol, J Weiler, R Kersten, JC Lau, et al.

An application-based taxonomy for brain–computer interfaces

Nature Biomedical Engineering (2025)

JT Robinson, SL Norman, MR Angle, TG Constandinou, T Denison, et al.

Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activity

bioRxiv (2025)

C Versteeg, JD McCart, M Ostrow, DM Zoltowski, CB Washington, et al.

A paradigm to study the learning of muscle activity patterns outside of the natural repertoire

Journal of Neurophysiology (2025)

A Ghavampour, M Emanuele, SR Sayyid, JJ Orban de Xivry, JA Michaels, et al.

ATHENA: automatically tracking hands expertly with no annotations

Journal of Neurophysiology (2025)

DM Mulla, M Costantino, E Freud, JA Michaels

A Context-Free Model of Savings in Motor Learning

bioRxiv (2025)

M Shahbazi, O Codol, JA Michaels, PL Gribble

A mathematical language for linking fine-scale structure in spikes from hundreds to thousands of neurons with behaviour

arXiv (2025)

AN Busch, RC Budzinski, FW Pasini, J Mináč, JA Michaels, M Roussy, et al.

Compositional neural dynamics during reaching

bioRxiv (2025)

M Kashefi, JA Michaels, R Kersten, JC Lau, J Diedrichsen, JA Pruszynski

MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks

eLife (2024)

O Codol, JA Michaels, M Kashefi, JA Pruszynski, PL Gribble

Accurate neural control of a hand prosthesis by posture-related activity in the primate grasping circuit

Neuron (2024)

A Agudelo-Toro, JA Michaels, WA Sheng, H Scherberger

Myomatrix arrays for high-definition muscle recording

eLife (2023)

B Chung, M Zia, KA Thomas, JA Michaels, A Jacob, A Pack, MJ Williams, et al.

A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping

PNAS (2020)

JA Michaels, S Schaffelhofer, A Agudelo-Toro, H Scherberger

Aiming for stable control

Nature Neuroscience (2020)

O Codol, G Ariani, JA Michaels

Population coding of grasp and laterality-related information in the macaque fronto-parietal network

Scientific Reports (2018)

JA Michaels, H Scherberger

Neural coding of intended and executed grasp force in macaque areas AIP, F5, and M1

Scientific Reports (2018)

RW Intveld, B Dann, JA Michaels, H Scherberger

Neural dynamics of variable Grasp-Movement preparation in the macaque frontoparietal network

Journal of Neuroscience (2018)

JA Michaels, B Dann, RW Intveld, H Scherberger

Towards population coding principles in the primate premotor and parietal grasping network

Doctoral Dissertation, University of Göttingen (2017)

JA Michaels

Neural population dynamics during reaching are better explained by a dynamical system than representational tuning

PLoS Computational Biology (2016)

JA Michaels, B Dann, H Scherberger

Uniting functional network topology and oscillations in the fronto-parietal single unit network of behaving primates

eLife (2016)

B Dann, JA Michaels, S Schaffelhofer, H Scherberger

hebbRNN: A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks

Journal of Open Source Software (2016)

JA Michaels, H Scherberger

Separable decoding of cue, intention, and movement information from the fronto-parietal grasping-network

Sixth International BCI Meeting (2016)

B Dann, JA Michaels, H Scherberger

Predicting reaction time from the neural state space of the premotor and parietal grasping network

Journal of Neuroscience (2015)

JA Michaels, B Dann, RW Intveld, H Scherberger

Rapid motor responses quickly integrate visuospatial task constraints

Experimental Brain Research (2011)

L Yang, JA Michaels, JA Pruszynski, SH Scott