| Bayesian computation through cortical latent dynamics H Sohn, D Narain, N Meirhaeghe, M Jazayeri Neuron, 2019 | 150 | 2019 |
| Linear and non-linear EEG analysis of adolescents with attention-deficit/hyperactivity disorder during a cognitive task H Sohn, I Kim, W Lee, BS Peterson, H Hong, JH Chae, S Hong, J Jeong Clinical Neurophysiology 121 (11), 1863-1870, 2010 | 103 | 2010 |
| Delayed transition from ambiguous to risky decision making in alcohol dependence during Iowa Gambling Task YT Kim, H Sohn, J Jeong Psychiatry Research, 2011 | 56 | 2011 |
| A monocular contribution to stimulus rivalry J Brascamp, H Sohn, SH Lee, R Blake Proceedings of the National Academy of Sciences 110 (21), 8337-8344, 2013 | 51 | 2013 |
| A large-scale neural network training framework for generalized estimation of single-trial population dynamics MR Keshtkaran, AR Sedler, RH Chowdhury, R Tandon, D Basrai, ... Nature Methods, 1-6, 2022 | 28 | 2022 |
| Increased frontomotor oscillations during tic suppression in children with Tourette syndrome HJ Hong, H Sohn, M Cha, S Kim, J Oh, MK Chu, K Namkoong, J Jeong Journal of child neurology 28 (5), 615-624, 2013 | 27 | 2013 |
| A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex N Meirhaeghe, H Sohn, M Jazayeri Neuron 109 (18), P2995-3011, 2021 | 26 | 2021 |
| Neural Latents Benchmark'21: evaluating latent variable models of neural population activity F Pei, J Ye, D Zoltowski, A Wu, RH Chowdhury, H Sohn, JE O'Doherty, ... arXiv preprint arXiv:2109.04463, 2021 | 25 | 2021 |
| A network perspective on sensorimotor learning H Sohn, N Meirhaeghe, R Rajalingham, M Jazayeri Trends in Neurosciences 44 (3), 170-181, 2021 | 23 | 2021 |
| Disturbances of motivational balance in chronic schizophrenia during decision‐making tasks YT Kim, H Sohn, S Kim, J Oh, BS Peterson, J Jeong Psychiatry and clinical neurosciences 66 (7), 573-581, 2012 | 23 | 2012 |
| Dichotomy in perceptual learning of interval timing: calibration of mean accuracy and precision differ in specificity and time course H Sohn, SH Lee Journal of neurophysiology 109 (2), 344-362, 2013 | 20 | 2013 |
| A two-stage model of concurrent interval timing in monkeys MR Kleinman, H Sohn, D Lee Journal of Neurophysiology 116 (3), 1068-1081, 2016 | 14 | 2016 |
| Neural implementations of Bayesian inference H Sohn, D Narain Current Opinion in Neurobiology 70, 121-129, 2021 | 12 | 2021 |
| Approximate entropy (ApEn) analysis of the EEG in attention-deficit/hyperactivity disorder (AD/HD) during cognitive tasks H Sohn, W Lee, I Kim, J Jeong World Congress on Medical Physics and Biomedical Engineering 2006, 1083-1086, 2007 | 11 | 2007 |
| Parametric control of flexible timing through low-dimensional neural manifolds M Beiran, N Meirhaeghe, H Sohn, M Jazayeri, S Ostojic Neuron, 2023 | 10 | 2023 |
| Validating model-based Bayesian integration using prior–cost metamers H Sohn, M Jazayeri Proceedings of the National Academy of Sciences 118 (25), e2021531118, 2021 | 6 | 2021 |
| Dynamical nonstationarity of resting EEGs in patients with attention-deficit/hyperactivity disorder (AD/HD) CFV Latchoumane, IH Kim, H Sohn, J Jeong IEEE transactions on biomedical engineering 60 (1), 159-163, 2012 | 6 | 2012 |
| Simple reinforcement learning models are not always appropriate H Sohn, S Kim Journal of Neuroscience 26 (45), 11511-11512, 2006 | 2 | 2006 |
| Dynamic tracking of objects in the macaque dorsomedial frontal cortex R Rajalingham, H Sohn, M Jazayeri bioRxiv, 2022.06. 24.497529, 2022 | 1 | 2022 |
| Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task J Li, N Watters, H Sohn, M Jazayeri Annual Conference on Neural Information Processing Systems, 98-112, 2023 | | 2023 |
Mehrdad JazayeriCognitive and Brain Sciences, MITVerified email at mit.edu
