Assessing the internal consistency of the event‐related potential: An example analysis NN Thigpen, ES Kappenman, A Keil Psychophysiology 54 (1), 123-138, 2017 | 127 | 2017 |
What does the dot‐probe task measure? A reverse correlation analysis of electrocortical activity NN Thigpen, LF Gruss, S Garcia, DR Herring, A Keil Psychophysiology 55 (6), e13058, 2018 | 46 | 2018 |
The malleability of emotional perception: Short-term plasticity in retinotopic neurons accompanies the formation of perceptual biases to threat. NN Thigpen, F Bartsch, A Keil Journal of Experimental Psychology: General 146 (4), 464, 2017 | 39 | 2017 |
Assessing the relationship between pupil diameter and visuocortical activity NN Thigpen, MM Bradley, A Keil Journal of Vision 18 (6), 7-7, 2018 | 24 | 2018 |
Fear conditioning prompts sparser representations of conditioned threat in primary visual cortex S Yin, K Bo, Y Liu, N Thigpen, A Keil, M Ding Social cognitive and affective neuroscience 15 (9), 950-964, 2020 | 20 | 2020 |
Selection of visual objects in perception and working memory one at a time N Thigpen, NM Petro, J Oschwald, K Oberauer, A Keil Psychological science 30 (9), 1259-1272, 2019 | 20 | 2019 |
Pre-target alpha power predicts the speed of cued target discrimination NM Petro, NN Thigpen, S Garcia, MR Boylan, A Keil NeuroImage 189, 878-885, 2019 | 12 | 2019 |
Predicting visual attention using gamma kernels R Burt, E Santana, JC Principe, N Thigpen, A Keil 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 12 | 2016 |
Responding to emotional scenes: effects of response outcome and picture repetition on reaction times and the late positive potential NN Thigpen, A Keil, AM Freund Cognition and emotion 32 (1), 24-36, 2018 | 11 | 2018 |
Attention to a threat‐related feature does not interfere with concurrent attentive feature selection MR Boylan, MN Kelly, NN Thigpen, A Keil Psychophysiology 56 (6), e13332, 2019 | 10 | 2019 |
Oscillatory brain activity links experience to expectancy during associative learning K Riels, R Ramos Campagnoli, N Thigpen, A Keil Psychophysiology 59 (5), e13946, 2022 | 8 | 2022 |
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG G Honke, I Higgins, N Thigpen, V Miskovic, K Link, S Duan, P Gupta, ... arXiv preprint arXiv:2010.15274, 2020 | 8 | 2020 |
Event-related potentials NN Thigpen, A Keil Elsevier, 2017 | 7 | 2017 |
Unsupervised foveal vision neural architecture with top-down attention R Burt, NN Thigpen, A Keil, JC Principe Neural Networks 141, 145-159, 2021 | 6 | 2021 |
Using convolutional variational autoencoders to predict post-trauma health outcomes from actigraphy data AS Cakmak, N Thigpen, G Honke, EP Alday, AB Rad, R Adaimi, ... arXiv preprint arXiv:2011.07406, 2020 | 4 | 2020 |
Unsupervised foveal vision neural networks with top-down attention R Burt, NN Thigpen, A Keil, JC Principe arXiv preprint arXiv:2010.09103, 2020 | 4 | 2020 |
Real-time analysis of input to machine learning models SA Laszlo, A Johnson, G Evangelopoulos, N Thigpen, Y Yip US Patent App. 16/284,561, 2020 | 4 | 2020 |
From neural oscillations to cognitive processes A Keil, N Thigpen The Oxford handbook of EEG frequency, 40, 2022 | 3 | 2022 |
Artifact identification in EEG measurements SA Laszlo, N Thigpen, V Miskovic, Y Yip US Patent 11,576,601, 2023 | 1 | 2023 |
Resampling eeg trial data KE Link, V Miskovic, N Thigpen, GR Honke, P Gupta US Patent App. 17/007,193, 2022 | 1 | 2022 |