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Jonathan A. Michaels
Jonathan A. Michaels
Banting Postdoctoral Fellow, Western Institute For Neuroscience
Verified email at uwo.ca - Homepage
Title
Cited by
Cited by
Year
Neural population dynamics during reaching are better explained by a dynamical system than representational tuning
JA Michaels, B Dann, H Scherberger
PLoS computational biology 12 (11), e1005175, 2016
1452016
A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping
JA Michaels, S Schaffelhofer, A Agudelo-Toro, H Scherberger
Proceedings of the national academy of sciences 117 (50), 32124-32135, 2020
91*2020
Uniting functional network topology and oscillations in the fronto-parietal single unit network of behaving primates
B Dann, JA Michaels, S Schaffelhofer, H Scherberger
Elife 5, e15719, 2016
752016
Predicting reaction time from the neural state space of the premotor and parietal grasping network
JA Michaels, B Dann, RW Intveld, H Scherberger
Journal of Neuroscience 35 (32), 11415-11432, 2015
752015
Rapid motor responses quickly integrate visuospatial task constraints
L Yang, JA Michaels, JA Pruszynski, SH Scott
Experimental Brain Research 211, 231-242, 2011
512011
Population coding of grasp and laterality-related information in the macaque fronto-parietal network
JA Michaels, H Scherberger
Scientific reports 8 (1), 1710, 2018
442018
Neural dynamics of variable Grasp-Movement preparation in the macaque frontoparietal network
JA Michaels, B Dann, RW Intveld, H Scherberger
Journal of Neuroscience 38 (25), 5759-5773, 2018
282018
Neural coding of intended and executed grasp force in macaque areas AIP, F5, and M1
RW Intveld, B Dann, JA Michaels, H Scherberger
Scientific Reports 8 (1), 17985, 2018
232018
Myomatrix arrays for high-definition muscle recording
B Chung, M Zia, KA Thomas, JA Michaels, A Jacob, A Pack, MJ Williams, ...
Elife 12, RP88551, 2023
72023
hebbRNN: A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks
JA Michaels, H Scherberger
The Journal of Open Source Software 2016, 2016
52016
MotorNet: a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks
O Codol, JA Michaels, M Kashefi, JA Pruszynski, PL Gribble
bioRxiv, 2023.02. 17.528969, 2023
22023
Accurate neuroprosthetic control through latent state transition training
A Agudelo-Toro, JA Michaels, WA Sheng, H Scherberger
bioRxiv, 2023.06. 02.543242, 2023
2023
Aiming for stable control
O Codol, G Ariani, JA Michaels
Nature Neuroscience 23 (3), 298-300, 2020
2020
Towards population coding principles in the primate premotor and parietal grasping network
JA Michaels
Niedersächsische Staats-und Universitätsbibliothek Göttingen, 2017
2017
Separable decoding of cue, intention, and movement information from the fronto-parietal grasping-network
B Dann, JA Michaels, H Scherberger
Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI …, 2016
2016
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