Test–retest reliability of spatial patterns from resting-state functional MRI using the restricted Boltzmann machine and hierarchically organized spatial patterns from the deep belief network

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Congratulations

Dr. Kim will depart a new journey from Sep/2019 as a Post-Doctoral Fellow at Harvard Medical School. Wish him a good luck and all the best!

Our paper, "Mediation analysis of triple networks revealed functional feature of mindfulness from real-time fMRI neurofeedback" has been accepted in NeuroImage!

Hyun-Chul passed his doctoral defense!

Congrats Dr. Kim!

Hyun-Chul Kim's paper ("Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging") was accepted to NeuroImage. Congrats!!

Dr. Park's paper ("Gamma EEG Correlates of Haptic Preferences for a Dial Interface") was accepted to IEEE Access. Congrats!!

Toolbox release

Deep neural networks (DNN)

Korean Chapter of OHBM (Organization for Human Brain Mapping) Summer School 2019: Using this material, you can learn how to train the fully-connected neural network model for input data and output data mapping with regularization of model weights.

Github page for more codes and applications of deep neural networks to fMRI data.

Deep neural networks (DNNs) with weight sparsity control scheme (Kim et al., NI, 2016). Please check the 'Software' tab

Naturalistic viewing

Eye-tracking based Naturalistic Viewing paradigm

Recruitment

Master's candidate / Ph.D candidate / Postdoctoral researcher

Please send your CV to PI if interested in !

BSPL 연구실에서는 연구에 관심이 있는 석사, 박사과정 학생 및 연구원을 모집하고 있습니다. 관심있는 분은 간단한 자기소개와 CV를 이메일로 보내주시기 바랍니다.