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30 results for “auditory system”
Raw EEG-EOG data used in the publication "Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State"
<p>The dataset includes raw EEG and EOG recordings during BCI experiments for three patients: p11, p13, p15, and p16. The structure of the dataset is the following: patient/visit/day.</p> <p>The experiment is described in detail in the publication "Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State". The correspondence between raw file and BCI session is reported in the attached pdf file "Supplementary Table S5 Session to Raw File Recordings Correspondence".</p> <p>The datasets include EEG and EOG channels. The data are raw (i.e. non filtered and non processed). Data have been acquired with a sampling rate of 500Hz using active electrodes and the amplifier V-Amp DC (Brain Products, Germany). EOG channels are labeled EOGU, EOGD, EOGR, EOGL namely for EOG up, down, right, left; the location in the 10-20 system are respectively SO1, IO1, LO1, LO2.</p> <p>The data are marked with triggers: for each session two markers indicate start and end of the session; for each trial markers indicate start of baseline, start of presentation of question, start of response time, start of feedback. Each trial was marked in a different way if it was a yes trial belonging to a training or feedback session, a no trial belonging to a training or feedback session, or a trial belonging to a speller session. The markers that have been used are the following:<br> <strong>start</strong> 9<br> <em> yes no speller</em><br> <strong>baseline</strong> 10 11 12<br> <strong>presentation</strong> 5 6 7<br> <strong>response</strong> 4 8 13<br> <strong>feedback</strong> 1 2 3</p> <p><strong>end</strong><strong> </strong> 15</p>
On the use of envelope following responses to estimate peripheral level compression in the auditory system
<p>Dataset containing the envelope following responses (EFR) recordings related to the manuscript "Can envelope following responses be used to estimate level compression in the auditory system?".</p> <p>Files content and structure:</p> <p><strong>EFR:</strong></p> <ul> <li><em>1_data__efr_nh.csv</em>: EFR recordings from the normal-hearing (NH) listeners</li> <li><em>2_data__efr_hi.csv</em>: EFR recordings from the hearing-impaired (HI) listeners</li> <li><em>3_data__efr_nh_repeat.csv</em>: Repeated EFR recordings from the NH listeners</li> </ul> <p>The files regarding the EFR recordings contain:</p> <ul> <li><em>subject</em>: Listener id</li> <li><em>lvl_vect</em>: Stimulation level</li> <li><em>efr_magn_xxxx_hz: </em>EFR magnitude (dB re to 1 µV) for each of the simultaneously recorded frequencies (0.5, 1, 2 and 4 kHz).</li> <li><em>efr_bkg_xxxx_hz: </em>Magnitude (dB re to 1 µV) of an estimate of the background noise floor of the recording for each frequency. </li> <li><em>ftest_xxxx_hz: </em>Ftest (0 or 1) value for each frequency.</li> </ul> <p> </p> <p>Distortion-product otoacoustic emissions (DPOAE) were also recorded in the same listeners although the data was not included in the final manuscript. Details of the methodology used can be given on request.</p> <p><strong>DPOAE:</strong></p> <ul> <li><em>4_data__dpoae_nh.csv</em>: DPOAE recordings from the NH listeners.</li> </ul> <p>The files regarding the DPOAE recordings contain:</p> <ul> <li><em>subject</em>: Listener id</li> <li><em>lvl_vect</em>: Stimulation level</li> <li><em>dpoae_magn_xxxx_hz: </em>DPOAE magnitude (dB SPL) for each of the simultaneously recorded frequencies (0.5, 1, 2 and 4 kHz).</li> <li><em>dpoae_bkg_xxxx_hz: </em>Magnitude (dB SPL) of an estimate of the background noise floor of the recording for each frequency. </li> <li><em>signif_xxxx_hz: </em>Satisfaction of the significance criterion (0 or 1) for each frequency.</li> </ul> <p> </p>
Changes in neuronal representations of phonemes in the ascending auditory system and their role speech recognition
<p>This dataset comprises neural responses to a set of speech sounds from several brain regions. Auditory nerve data was simulated using a computational model of the auditory nerve. Also included are multi-unit extracellular recordings or responses to the same stimuli in the inferior colliculus and auditory cortex of anaethetised guinea pigs.</p>
Automatic and feature-specific prediction related neural activity in the human auditory system
<p>Downsampled (to 100Hz) data of the paper "Automatic and feature specific prediction related neural activity in the human auditory system"</p>
Sequential maturation of stimulus-specific adaptation in the mouse lemniscal auditory system
<p>Stimulus-specific adaptation (SSA), the reduction of neural activity to a common stimulus that does not generalize to other, rare stimuli, is an essential property of our brain. Although well characterized in adults, it is still unknown how it develops during adolescence and what neuronal circuits are involved. Using in vivo electrophysiology and optogenetics in the lemniscal pathway of the mouse auditory system, we observed SSA to be stable from postnatal day 20 (P20) in the inferior colliculus, to develop until P30 in the auditory thalamus (MGV) and even later in the primary auditory cortex (A1). We found this maturation process to be experience-dependent in A1 but not in MGV, and to be related to alterations in deep but not input layers of A1. We also identified corticothalamic projections to be implicated in MGV SSA development. Together, our results reveal different circuits underlying the sequential SSA maturation and provide a unique perspective to understand predictive coding and surprise across sensory systems.</p>
Role of the Auditory Efferent System in Auditory Perceptual Learning
ClinicalTrials.gov study NCT02574247. IPD Sharing: NO. Countries: 1. Publications: 8.
Functional connectivity in human auditory networks and the origins of variation in the transmission of musical systems
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Sequential maturation of stimulus-specific adaptation in the mouse lemniscal auditory system
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Fig. A1 in Auditory system biophysics in a new species of false-leaf katydid (Tettigoniidae: Pseudophyllinae) supports a hypothesis of broadband ultrasound reception
Fig. A1. Calling song of Eubliastes aethiops male. A, calling song, Top, waveform; middle, spectrogram; bottom, frequency power spectrum. PF = peak frequency; LF = low frequency (20 dB below PF); HF = high frequency (20 dB below PF); BW = bandwidth (HF-LF). B, male specimen in the field (photograph by Fernando Vargas- Salinas). Spectrogram parameters: FFT size = 512; Hamming window = 50% overlap; frequency resolution = 500 Hz
Fig. 2 in Auditory system biophysics in a new species of false-leaf katydid (Tettigoniidae: Pseudophyllinae) supports a hypothesis of broadband ultrasound reception
Fig. 2. Eubliastes viridicorpus sp. nov. acoustics. A, dorsal view of male stridulatory apparatus with tegmina closed; B, dorsal view of male stridulatory apparatus with tegmina open; C, male stridulatory file; D, male calling song waveform and spectrogram; E, waveform and spectrogram of single pulse, with high resolution inset of the dual tone waveform; F, male calling song frequency spectrum. Spectrogram parameters: FFT size = 512; Hamming window = 50% overlap; frequency resolution = 500 Hz.
Fig. 1 in Auditory system biophysics in a new species of false-leaf katydid (Tettigoniidae: Pseudophyllinae) supports a hypothesis of broadband ultrasound reception
Fig. 1. Eubliastes viridicorpus sp. nov. A. male face; B. female face; C, male alive; D. illustrated male habitus; E, illustrated male terminalia in ventral (i), dorsal (ii), and lateral (iii) views with lateral view of left cercus (iv); F, female terminalia in ventral (i), dorsal (ii), and lateral (iii) views with lateral close up of ovipositor tip (iv). Note, colours of the face in A and B are an artifact of alcohol preservation, but markings remain accurate. Illustrations by CW.
Functional Magnetic Resonance Imaging Study of the Central Auditory System After Single Sided Deafness
ClinicalTrials.gov study NCT02534298. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Functional Near Infra-Red Spectroscopic Study of Central Auditory System Cortical Functional Reorganization
ClinicalTrials.gov study NCT04043910. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Long-term use benefits of personal frequency-modulated systems for speech in noise perception in patients with stroke with auditory processing deficits: a non-randomised controlled trial study
Objectives: Approximately one in five stroke survivors suffer from difficulties with speech reception in noise, despite normal audiometry. These deficits are treatable with personal Frequency Modulated systems (FMs). This study aimed to evaluate long term benefits in speech reception in noise, after daily 10 week use of personal FMs, in non-aphasic stroke patients with auditory processing deficits. Design: This was a prospective non randomised controlled trial study. Patients were allocated to an intervention care group or standard care subjects group according to their willingness to use the intervention or not. Setting: Tertiary care setting. Participants: Nine non-aphasic subjects with ischemic stroke, normal/near normal audiometry, and auditory processing deficits and with reported difficulties understanding speech in background noise were recruited in the subacute stroke stage (3-12 months after stroke). Interventions: Four patients (intervention care subjects) used the FMs in their daily life over 10 weeks. Five patients (standard care subjects) received standard care. Primary outcome measures: All subjects were tested at baseline (visit 1) and 10 weeks later (visit 2) on a sentences in noise test with the FMs (aided) and without the FMs (unaided). Results: Speech reception thresholds showed clinically and statistically significant improvements in intervention but not in standard care subjects at 10 weeks in both aided and unaided conditions. Conclusions: 10 week use of FM systems by adult stroke patients may lead to benefits in unaided speech in noise perception. Our findings may indicate auditory plasticity type changes and require further investigation.
Dataset for The development of allocentric spatial frame in the auditory system
<p>Dataset for The development of allocentric spatial frame in the auditory system</p>
Data from: Long-term use benefits of personal frequency-modulated systems for speech in noise perception in patients with stroke with auditory processing deficits: a non-randomised controlled trial study
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Data from: How spatial release from masking may fail to function in a highly directional auditory system
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Diversity and complexity of auditory representation in the hearing systems of Aedes aegypti mosquitoes
GEO Series GSE291714. Aedes aegypti. 20 samples. Type: Expression profiling by high throughput sequencing.
Auditory Nerve Test System During Vestibular Schwannoma Resection
ClinicalTrials.gov study NCT04241679. IPD Sharing: NO. Countries: 1. Publications: 0.
Neural Changes in the Aging Auditory System
ClinicalTrials.gov study NCT00264407. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.