| Bayesian filtering of surface EMG for accurate simultaneous and proportional prosthetic control D Hofmann, N Jiang, I Vujaklija, D Farina IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (12 …, 2015 | 49 | 2015 |
| Chance, long tails, and inference in a non-Gaussian, Bayesian theory of vocal learning in songbirds B Zhou, D Hofmann, I Pinkoviezky, SJ Sober, I Nemenman Proceedings of the National Academy of Sciences 115 (36), E8538-E8546, 2018 | 19 | 2018 |
| Estimating muscle activation from EMG using deep learning-based dynamical systems models LN Wimalasena, JF Braun, MR Keshtkaran, D Hofmann, JÁ Gallego, ... bioRxiv, 2021 | 17 | 2021 |
| Reverse-engineering biological networks from large data sets JL Natale, D Hofmann, DG Hernández, I Nemenman arXiv preprint arXiv:1705.06370, 2017 | 15 | 2017 |
| Ultrafast population coding and axo-somatic compartmentalization C Zhang, D Hofmann, A Neef, F Wolf PLOS Computational Biology 18 (1), e1009775, 2022 | 7 | 2022 |
| Myoelectric Signal processing for prosthesis control D Hofmann | 6 | 2015 |
| Upper-limit agricultural dietary exposure to streptomycin in the laboratory reduces learning and foraging in bumblebees L Avila, E Dunne, D Hofmann, BJ Brosi Proceedings of the Royal Society B 289 (1968), 20212514, 2022 | 5 | 2022 |
| Information theoretical analysis of high density electromyographic data for prostheses control D Hofmann, A Biess, J Hahne, B Graimann, JM Herrmann Front. Comput. Neurosci, 2010 | 1 | 2010 |
| Inferring phenomenological models of first passage processes C Rivera, D Hofmann, I Nemenman PLoS computational biology 17 (3), e1008740, 2021 | | 2021 |
| Collective bumblebee foraging in a controlled stochastic environment D Hofmann, A Roman, D McDermott, B Brosi, I Nemenman Bulletin of the American Physical Society 65, 2020 | | 2020 |
| Accurate quantification of bumblebee foraging D Hofmann, A Roman, D McDermott, B Brosi, I Nemenman APS March Meeting Abstracts 2019, A65. 012, 2019 | | 2019 |
| Non-Gaussian Bayesian theory of sensorimotor learning with multiple timescales B Zhou, D Hofmann, S Sober, I Nemenman APS March Meeting Abstracts 2019, H66. 003, 2019 | | 2019 |
| Estimation of the neural drive to the muscle from surface electromyograms D Hofmann APS March Meeting Abstracts 2017, V4. 012, 2017 | | 2017 |
| How do channel densities and various time constants affect the dynamic gain of a detailed model of a pyramidal neuron? D Hofmann, A Neef, I Fleidervish, M Gutnick, F Wolf BMC Neuroscience 14 (1), 1-1, 2013 | | 2013 |
| A Pattern Recognition System for Low-Latency Prosthesis Control D Hofmann, M Herrmann Frontiers in Computational Neuroscience, 2011 | | 2011 |
| Managed bumble bees alter their foraging behavior when fed agricultural antibiotics L Avila, D Hofmann, L Dunne, BJ Brosi 2020 ESA Annual Meeting (August 3-6), 0 | | |
Ilya NemenmanEmory University, Physics and BiologyVerified email at emory.edu
