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Hansem Sohn
Hansem Sohn
Postdoctoral Associate, McGovern Institute for Brain Research, MIT
Verified email at mit.edu
Title
Cited by
Cited by
Year
Bayesian computation through cortical latent dynamics
H Sohn, D Narain, N Meirhaeghe, M Jazayeri
Neuron, 2019
2042019
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
1092010
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 19 (12), 1572-1577, 2022
572022
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
572021
Delayed transition from ambiguous to risky decision making in alcohol dependence during Iowa Gambling Task
YT Kim, H Sohn, J Jeong
Psychiatry Research, 2011
552011
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
502013
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
402021
A network perspective on sensorimotor learning
H Sohn, N Meirhaeghe, R Rajalingham, M Jazayeri
Trends in Neurosciences 44 (3), 170-181, 2021
322021
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
302013
Parametric control of flexible timing through low-dimensional neural manifolds
M Beiran, N Meirhaeghe, H Sohn, M Jazayeri, S Ostojic
Neuron 111 (5), 739-753. e8, 2023
272023
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
242012
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
222013
Neural implementations of Bayesian inference
H Sohn, D Narain
Current Opinion in Neurobiology 70, 121-129, 2021
212021
A two-stage model of concurrent interval timing in monkeys
MR Kleinman, H Sohn, D Lee
Journal of neurophysiology 116 (3), 1068-1081, 2016
152016
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
122007
Validating model-based Bayesian integration using prior–cost metamers
H Sohn, M Jazayeri
Proceedings of the National Academy of Sciences 118 (25), e2021531118, 2021
112021
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
92012
Dynamic tracking of objects in the macaque dorsomedial frontal cortex
R Rajalingham, H Sohn, M Jazayeri
bioRxiv, 2022.06. 24.497529, 2022
32022
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
22023
Simple reinforcement learning models are not always appropriate
H Sohn, S Kim
Journal of Neuroscience 26 (45), 11511-11512, 2006
22006
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Articles 1–20