Search Results - "Monaghan, Jessica"

Development of social vocalizations in mice by Grimsley, Jasmine M S, Monaghan, Jessica J M, Wenstrup, Jeffrey J

“…Adult mice are highly vocal animals, with both males and females vocalizing in same sex and cross sex social encounters. Mouse pups are also highly vocal,…”
Get full text

A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers by Zhang, Xiang, Yao, Lina, Wang, Xianzhi, Monaghan, Jessica, McAlpine, David, Zhang, Yu

“…Brain signals refer to the biometric information collected from the human brain. The research on brain signals aims to discover the underlying neurological or…”
Get more information

Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users by Goehring, Tobias, Bolner, Federico, Monaghan, Jessica J.M., van Dijk, Bas, Zarowski, Andrzej, Bleeck, Stefan

“…Speech understanding in noisy environments is still one of the major challenges for cochlear implant (CI) users in everyday life. We evaluated a speech…”
Get full text

Hidden Hearing Loss Impacts the Neural Representation of Speech in Background Noise by Monaghan, Jessica J.M., Garcia-Lazaro, Jose A., McAlpine, David, Schaette, Roland

“…Many individuals with seemingly normal hearing abilities struggle to understand speech in noisy backgrounds. To understand why this might be the case, we…”
Get full text

Deep reinforcement learning guided graph neural networks for brain network analysis by Zhao, Xusheng, Wu, Jia, Peng, Hao, Beheshti, Amin, Monaghan, Jessica J.M., McAlpine, David, Hernandez-Perez, Heivet, Dras, Mark, Dai, Qiong, Li, Yangyang, Yu, Philip S., He, Lifang

Get full text

Semi-Supervised EEG Clustering With Multiple Constraints by Dai, Chenglong, Wu, Jia, Monaghan, Jessica J. M., Li, Guanghui, Peng, Hao, Becker, Stefanie I., McAlpine, David

“…Electroencephalogram (EEG)-based applications in Brain-Computer Interfaces (BCIs, or Human-Machine Interfaces, HMIs), diagnosis of neurological disease,…”
Get full text

The neural representation of an auditory spatial cue in the primate cortex by Undurraga, Jaime A, Luke, Robert, Van Yper, Lindsey, Monaghan, Jessica J M, McAlpine, David

“…Humans make use of small differences in the timing of sounds at the two ears-interaural time differences (ITDs)-to locate their sources. Despite extensive…”
Get more information

Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data by Tang, Yunbo, Chen, Dan, Wu, Jia, Tu, Weiping, Monaghan, Jessica J.M., Sowman, Paul, Mcalpine, David

“…Measurement of brain functional connectivity has become a dominant approach to explore the interaction dynamics between brain regions of subjects under…”
Get full text

Modulation Depth Discrimination by Cochlear Implant Users by Monaghan, Jessica J. M., Carlyon, Robert P., Deeks, John M.

“…Cochlear implants (CIs) convey the amplitude envelope of speech by modulating high-rate pulse trains. However, not all of the envelope may be necessary to…”
Get full text

Side-Aware Meta-Learning for Cross-Dataset Listener Diagnosis With Subjective Tinnitus by Liu, Zhe, Li, Yun, Yao, Lina, Lucas, Molly, Monaghan, Jessica J. M., Zhang, Yu

“…With the development of digital technology, machine learning has paved the way for the next generation of tinnitus diagnoses. Although machine learning has…”
Get full text

Cross-modal functional connectivity supports speech understanding in cochlear implant users by Fullerton, Amanda M, Vickers, Deborah A, Luke, Robert, Billing, Addison N, McAlpine, David, Hernandez-Perez, Heivet, Peelle, Jonathan E, Monaghan, Jessica J M, McMahon, Catherine M

“…Abstract Sensory deprivation can lead to cross-modal cortical changes, whereby sensory brain regions deprived of input may be recruited to perform atypical…”
Get full text

Understanding degraded speech leads to perceptual gating of a brainstem reflex in human listeners by Hernández-Pérez, Heivet, Mikiel-Hunter, Jason, McAlpine, David, Dhar, Sumitrajit, Boothalingam, Sriram, Monaghan, Jessica J M, McMahon, Catherine M

“…The ability to navigate "cocktail party" situations by focusing on sounds of interest over irrelevant, background sounds is often considered in terms of…”
Get full text

Generalizable Sample-Efficient Siamese Autoencoder for Tinnitus Diagnosis in Listeners With Subjective Tinnitus by Liu, Zhe, Yao, Lina, Wang, Xianzhi, Monaghan, Jessica J. M., Schaette, Roland, He, Zihuai, McAlpine, David

“…Electroencephalogram (EEG)-based neurofeedback has been widely studied for tinnitus therapy in recent years. Most existing research relies on experts'…”
Get full text

Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis by Li, Yun, Liu, Zhe, Yao, Lina, J.M.Monaghan, Jessica, McAlpine, David

“…EEG-based tinnitus classification is a valuable tool for tinnitus diagnosis, research, and treatments. Most current works are limited to a single dataset where…”
Get full text

Influence of envelope waveform on ITD sensitivity of neurons in the auditory midbrain by Greenberg, David, Monaghan, Jessica J M, Dietz, Mathias, Marquardt, Torsten, McAlpine, David

“…Interaural time differences (ITDs) conveyed by the modulated envelopes of high-frequency sounds can serve as a cue for localizing a sound source. Klein-Hennig…”
Get full text

Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285] by Tang, Yunbo, Chen, Dan, Wu, Jia, Tu, Weiping, Monaghan, Jessica J.M., Sowman, Paul, Mcalpine, David

Get full text

A method to enhance the use of interaural time differences for cochlear implants in reverberant environments by Monaghan, Jessica J. M., Seeber, Bernhard U.

“…The ability of normal-hearing (NH) listeners to exploit interaural time difference (ITD) cues conveyed in the modulated envelopes of high-frequency sounds is…”
Get full text

Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners by Monaghan, Jessica J M, Goehring, Tobias, Yang, Xin, Bolner, Federico, Wang, Shangqiguo, Wright, Matthew C M, Bleeck, Stefan

“…Machine-learning based approaches to speech enhancement have recently shown great promise for improving speech intelligibility for hearing-impaired listeners…”
Get full text

Tolerable delay for speech production and perception: effects of hearing ability and experience with hearing aids by Goehring, Tobias, Chapman, Josie L., Bleeck, Stefan, Monaghan, Jessica J. M.

“…Objective: Processing delay is one of the important factors that limit the development of novel algorithms for hearing devices. In this study, both…”
Get full text

A statistical, formant-pattern model for segregating vowel type and vocal-tract length in developmental formant data by Turner, Richard E., Walters, Thomas C., Monaghan, Jessica J. M., Patterson, Roy D.

“…This paper investigates the theoretical basis for estimating vocal-tract length (VTL) from the formant frequencies of vowel sounds. A statistical inference…”
Get full text