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Articles 1 - 7 of 7
Full-Text Articles in Cognitive Neuroscience
Examining Physiological Responses To Misophonic Triggers, Christian O'Reilly, Xuan Yang, Sewon Oh, Doug Wedell, Svetlana Shinkareva
Examining Physiological Responses To Misophonic Triggers, Christian O'Reilly, Xuan Yang, Sewon Oh, Doug Wedell, Svetlana Shinkareva
Faculty Publications
We collected and analyzed an array of biosignals (face electromyogram, skin electrodermal activity, peripheral temperature, and electrocardiogram) in 60 participants with and without misophonia, a condition characterized by decreased tolerance to innocuous sounds. Our goal was to objectively characterize the physiological response to misophonia triggering sounds. We found that misophonic responses can be objectively identified in some cases through atypical physiological reactions to triggering stimuli, though not all participants exhibited this response. Our analyses suggest a large interindividual variability in response to misophonic triggers and highlights the need for methodological adjustments in future experiments to increase the detectability of misophonic …
Deep Long Short-Term Memory Structures Model Temporal Dependencies Improving Cognitive Workload Estimation, Ryan G. Hefron, Brett J. Borghetti, James C. Christensen, Christine M. Schubert Kabban
Deep Long Short-Term Memory Structures Model Temporal Dependencies Improving Cognitive Workload Estimation, Ryan G. Hefron, Brett J. Borghetti, James C. Christensen, Christine M. Schubert Kabban
Faculty Publications
Using deeply recurrent neural networks to account for temporal dependence in electroencephalograph (EEG)-based workload estimation is shown to considerably improve day-to-day feature stationarity resulting in significantly higher accuracy (p < .0001) than classifiers which do not consider the temporal dependence encoded within the EEG time-series signal. This improvement is demonstrated by training several deep Recurrent Neural Network (RNN) models including Long Short-Term Memory (LSTM) architectures, a feedforward Artificial Neural Network (ANN), and Support Vector Machine (SVM) models on data from six participants who each perform several Multi-Attribute Task Battery (MATB) sessions on five separate days spread out over a month-long period. Each participant-specific classifier is trained on the first four days of data and tested using the fifth’s. Average classification accuracy of 93.0% is achieved using a deep LSTM architecture. These results represent a 59% decrease in error compared to the best previously published results for this dataset. This study additionally evaluates the significance of new features: all combinations of mean, variance, skewness, and kurtosis of EEG frequency-domain power distributions. Mean and variance are statistically significant features, while skewness and kurtosis are not. The overall performance of this approach is high enough to warrant evaluation for inclusion in operational systems.
Familiarity Differentially Affects Right Hemisphere Contributions To Processing Metaphors And Literals, V. T. Lai, Wessel Van Dam, L. L. Conant, J. R. Binder, Rutvik Desai
Familiarity Differentially Affects Right Hemisphere Contributions To Processing Metaphors And Literals, V. T. Lai, Wessel Van Dam, L. L. Conant, J. R. Binder, Rutvik Desai
Faculty Publications
The role of the two hemispheres in processing metaphoric language is controversial. While some studies have reported a special role of the right hemisphere (RH) in processing metaphors, others indicate no difference in laterality relative to literal language. Some studies have found a role of the RH for novel/unfamiliar metaphors, but not conventional/familiar metaphors. It is not clear, however, whether the role of the RH is specific to metaphor novelty, or whether it reflects processing, reinterpretation or reanalysis of novel/unfamiliar language in general. Here we used functional magnetic resonance imaging (fMRI) to examine the effects of familiarity in both metaphoric …
The Neural Substrates Of Natural Reading: A Comparison Of Normal And Nonword Text Using Eyetracking And Fmri, W. Choi, Rutvik Desai, J. M. Henderson
The Neural Substrates Of Natural Reading: A Comparison Of Normal And Nonword Text Using Eyetracking And Fmri, W. Choi, Rutvik Desai, J. M. Henderson
Faculty Publications
Most previous studies investigating the neural correlates of reading have presented text using serial visual presentation (SVP), which may not fully reflect the underlying processes of natural reading. In the present study, eye movements and BOLD data were collected while subjects either read normal paragraphs naturally or moved their eyes through “paragraphs” of pseudo-text (pronounceable pseudowords or consonant letter strings) in two pseudo-reading conditions. Eye movement data established that subjects were reading and scanning the stimuli normally. A conjunction fMRI analysis across natural- and pseudo-reading showed that a common eye-movement network including frontal eye fields (FEF), supplementary eye fields (SEF), …
Decades-Long Social Memory In Bottlenose Dolphins, Jason N. Bruck
Decades-Long Social Memory In Bottlenose Dolphins, Jason N. Bruck
Faculty Publications
Long-term social memory is important, because it is an ecologically relevant test of cognitive capacity, it helps us understand which social relationships are remembered and it relates two seemingly disparate disciplines: cognition and sociality. For dolphins, long-term memory for conspecifics could help assess social threats as well as potential social or hunting alliances in a very fluid and complex fission-fusion social system, yet we have no idea how long dolphins can remember each other. Through a playback study conducted within a multi-institution dolphin breeding consortium (where animals are moved between different facilities), recognition of unfamiliar versus familiar signature whistles of …
You, Your Neurons, And Free Will: Concerns About Reductionism And The Popularization Of Cognitive Science, Karl G. D. Bailey
You, Your Neurons, And Free Will: Concerns About Reductionism And The Popularization Of Cognitive Science, Karl G. D. Bailey
Faculty Publications
No abstract provided.
On The Origin Of Stories: Evolution, Cognition, And Fiction, Hope Hollocher, Agustín Fuentes, Charles H. Pence, Grant Ramsey, Daniel John Sportiello, Michelle M. Wirth
On The Origin Of Stories: Evolution, Cognition, And Fiction, Hope Hollocher, Agustín Fuentes, Charles H. Pence, Grant Ramsey, Daniel John Sportiello, Michelle M. Wirth
Faculty Publications
No abstract provided.