Hansem Sohn
Hansem Sohn
Postdoctoral Associate, McGovern Institute for Brain Research, MIT
Verified email at mit.edu
Cited by
Cited by
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
Bayesian computation through cortical latent dynamics
H Sohn, D Narain, N Meirhaeghe, M Jazayeri
Neuron, 2019
Delayed transition from ambiguous to risky decision making in alcohol dependence during Iowa Gambling Task
YT Kim, H Sohn, J Jeong
Psychiatry Research, 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
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
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
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
A two-stage model of concurrent interval timing in monkeys
MR Kleinman, H Sohn, D Lee
Journal of neurophysiology 116 (3), 1068-1081, 2016
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
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
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, ...
bioRxiv, 2021
A network perspective on sensorimotor learning
H Sohn, N Meirhaeghe, R Rajalingham, M Jazayeri
Trends in Neurosciences, 2020
Simple reinforcement learning models are not always appropriate
H Sohn, S Kim
Journal of Neuroscience 26 (45), 11511-11512, 2006
A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex
N Meirhaeghe, H Sohn, M Jazayeri
bioRxiv, 2021
Validating model-based Bayesian integration using prior–cost metamers
H Sohn, M Jazayeri
Proceedings of the National Academy of Sciences 118 (25), 2021
Metamers of Bayesian computation
H Sohn, M Jazayeri
bioRxiv, 2020
Perceptual suppression during stimulus rivalry diminishes contrast adaptation at eye-specific processing stages
J Brascamp, H Sohn, SH Lee, R Blake
Journal of Vision 13 (9), 543-543, 2013
Complementary spatial interactions between binocular rivalry and stimulus rivalry
H Sohn, SH Lee, R Blake
Journal of Vision 12 (9), 207-207, 2012
Learning a Bayesian prior in interval timing
H Sohn, SH Lee
Nature Precedings, 1-1, 2011
Nonlinear dynamics underlying slow oscillation in dopamine neurons of the ventral tegmental area
H Sohn, WX Shi, BS Peterson, J Jeong
Computational and Systems Neuroscience (COSYNE), 2007
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