Nina Thigpen, PhD
Cited by
Cited by
Assessing the internal consistency of the event‐related potential: An example analysis
NN Thigpen, ES Kappenman, A Keil
Psychophysiology 54 (1), 123-138, 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
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
Assessing the relationship between pupil diameter and visuocortical activity
NN Thigpen, MM Bradley, A Keil
Journal of Vision 18 (6), 7-7, 2018
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
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
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
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
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
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
Oscillatory brain activity links experience to expectancy during associative learning
K Riels, R Ramos Campagnoli, N Thigpen, A Keil
Psychophysiology 59 (5), e13946, 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
Event-Related Potentials
NN Thigpen, A Keil
Elsevier, 2017
Unsupervised foveal vision neural architecture with top-down attention
R Burt, NN Thigpen, A Keil, JC Principe
Neural Networks 141, 145-159, 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
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
From neural oscillations to cognitive processes
A Keil, N Thigpen
The Oxford handbook of EEG frequency, 40, 2022
Unsupervised foveal vision neural networks with top-down attention
R Burt, NN Thigpen, A Keil, JC Principe
arXiv preprint arXiv:2010.09103, 2020
Resampling eeg trial data
KE Link, V Miskovic, N Thigpen, GR Honke, P Gupta
US Patent App. 17/007,193, 2022
N Thigpen, A Keil
Encyclopedia of Personality and Individual Differences, 1560-1564, 2020
The system can't perform the operation now. Try again later.
Articles 1–20