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Dataset results
47 results for “Auditory Cortex”
Stable sound decoding despite modulated sound representation in the auditory cortex
<p>Two-photon calcium imaging data (df/f) from the mouse auditory cortex during a two-alternative choice auditory decision-making task. This is the data set of the paper titled:</p> <p>"Stable sound decoding despite modulated sound representation in the auditory cortex"</p> <p>Current Biology 33, 1–14, October 23, 2023</p> <p>DOI:<a href="https://doi.org/10.1016/j.cub.2023.09.031">https://doi.org/10.1016/j.cub.2023.09.031</a></p>
Chronic Electrical Stimulation of the Auditory Cortex for Intractable Tinnitus
ClinicalTrials.gov study NCT00486577. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Positron Emission Tomography Imaging of Brain Reorganisation of the Central Auditory Cortex in Asymetrical Profound Deaf Patient With a Cochlear Implantation.
ClinicalTrials.gov study NCT03117413. IPD Sharing: NO. Countries: 1. Publications: 3.
Auditory cortex shapes sounds responses in the inferior colliculus
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Data from: A low-threshold potassium current enhances sparseness and reliability in a model of avian auditory cortex
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Data from: The representation of prediction error in auditory cortex
To survive, organisms must extract information from the past that is relevant for their future. How this process is expressed at the neural level remains unclear. We address this problem by developing a novel approach from first principles. We show here how to generate low-complexity representations of the past that produce optimal predictions of future events. We then illustrate this framework by studying the coding of 'oddball' sequences in auditory cortex. We find that for many neurons in primary auditory cortex, trial-by-trial fluctuations of neuronal responses correlate with the theoretical prediction error calculated from the short-term past of the stimulation sequence, under constraints on the complexity of the representation of this past sequence. In some neurons, the effect of prediction error accounted for more than 50% of response variability. Reliable predictions often depended on a representation of the sequence of the last ten or more stimuli, although the representation kept only few details of that sequence.
Data from: Spectral and temporal acoustic features modulate response irregularities within primary auditory cortex columns
Assemblies of vertically connected neurons in the cerebral cortex form information processing units (columns) that participate in the distribution and segregation of sensory signals. Despite well-accepted models of columnar architecture, functional mechanisms of inter-laminar communication remain poorly understood. Hence, the purpose of the present investigation was to examine the effects of sensory information features on columnar response properties. Using acute recording techniques, extracellular response activity was collected from the right hemisphere of eight mature cats (felis catus). Recordings were conducted with multichannel electrodes that permitted the simultaneous acquisition of neuronal activity within primary auditory cortex columns. Neuronal responses to simple (pure tones), complex (noise burst and frequency modulated sweeps), and ecologically relevant (con-specific vocalizations) acoustic signals were measured. Collectively, the present investigation demonstrates that despite consistencies in neuronal tuning (characteristic frequency), irregularities in discharge activity between neurons of individual A1 columns increase as a function of spectral (signal complexity) and temporal (duration) acoustic variations.
Data & Code of "A new function of offset response in the primate auditory cortex: marker of temporal integration"
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Data from: Context-dependent signaling of coincident auditory and visual events in primary visual cortex
Detecting rapid, coincident changes across sensory modalities is essential for recognition of sudden threats or events. Using two-photon calcium imaging in identified cell types in awake, head-fixed mice, we show that, among the basic features of a sound envelope, loud sound onsets are a dominant feature coded by the auditory cortex neurons projecting to primary visual cortex (V1). In V1, a small number of layer 1 interneurons gates this cross-modal information flow in a context-dependent manner. In dark conditions, auditory cortex inputs lead to suppression of the V1 population. However, when sound input coincides with a visual stimulus, visual responses are boosted in V1, most strongly after loud sound onsets. Thus, a dynamic, asymmetric circuit connecting AC and V1 contributes to the encoding of visual events that are coincident with sounds.
Data from: Perceptually relevant speech tracking in auditory and motor cortex reflects distinct linguistic features
During online speech processing, our brain tracks the acoustic fluctuations in speech at different timescales. Previous research has focused on generic timescales (for example, delta or theta bands) that are assumed to map onto linguistic features such as prosody or syllables. However, given the high intersubject variability in speaking patterns, such a generic association between the timescales of brain activity and speech properties can be ambiguous. Here, we analyse speech tracking in source-localised magnetoencephalographic data by directly focusing on timescales extracted from statistical regularities in our speech material. This revealed widespread significant tracking at the timescales of phrases (0.6–1.3 Hz), words (1.8–3 Hz), syllables (2.8–4.8 Hz), and phonemes (8–12.4 Hz). Importantly, when examining its perceptual relevance, we found stronger tracking for correctly comprehended trials in the left premotor (PM) cortex at the phrasal scale as well as in left middle temporal cortex at the word scale. Control analyses using generic bands confirmed that these effects were specific to the speech regularities in our stimuli. Furthermore, we found that the phase at the phrasal timescale coupled to power at beta frequency (13–30 Hz) in motor areas. This cross-frequency coupling presumably reflects top-down temporal prediction in ongoing speech perception. Together, our results reveal specific functional and perceptually relevant roles of distinct tracking and cross-frequency processes along the auditory–motor pathway.
Data from: Perceptually relevant speech tracking in auditory and motor cortex reflects distinct linguistic features
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Data from: The representation of prediction error in auditory cortex
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Data from: Context-dependent signaling of coincident auditory and visual events in primary visual cortex
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Data from: Spectral and temporal acoustic features modulate response irregularities within primary auditory cortex columns
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Audiovisual task switching rapidly modulates sound encoding in mouse auditory cortex
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Transcriptome analysis of auditory cortex in 1-month-old and 1-year-old Ash1l heterozygous mice with their age-matched WT littermates
GEO Series GSE184375. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome map of human temporopolar and 2ary Auditory Anterior cortex
GEO Series GSE262948. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Data from: Dissociable neural response signatures for slow amplitude and frequency modulation in human auditory cortex
Natural auditory stimuli are characterized by slow fluctuations in amplitude and frequency. However, the degree to which the neural responses to slow amplitude modulation (AM) and frequency modulation (FM) are capable of conveying independent time-varying information, particularly with respect to speech communication, is unclear. In the current electroencephalography (EEG) study, participants listened to amplitude- and frequency-modulated narrow-band noises with a 3-Hz modulation rate, and the resulting neural responses were compared. Spectral analyses revealed similar spectral amplitude peaks for AM and FM at the stimulation frequency (3 Hz), but amplitude at the second harmonic frequency (6 Hz) was much higher for FM than for AM. Moreover, the phase delay of neural responses with respect to the full-band stimulus envelope was shorter for FM than for AM. Finally, the critical analysis involved classification of single trials as being in response to either AM or FM based on either phase or amplitude information. Time-varying phase, but not amplitude, was sufficient to accurately classify AM and FM stimuli based on single-trial neural responses. Taken together, the current results support the dissociable nature of cortical signatures of slow AM and FM. These cortical signatures potentially provide an efficient means to dissect simultaneously communicated slow temporal and spectral information in acoustic communication signals.
Data from: The visual speech head start improves perception and reduces superior temporal cortex responses to auditory speech
Visual information about speech content from the talker's mouth is often available before auditory information from the talker's voice. Previously we demonstrated that audiovisual speech selectively enhances activity in regions of the early visual cortex representing the mouth of the talker (Ozker et al., 2018b). Here we examined perceptual and neural responses to words with and without this visual head start. For both types of words, perception was enhanced by viewing the talker's face, but the enhancement was significantly greater for words with a head start. Neural responses were measured from electrodes implanted over auditory association cortex in the posterior superior temporal gyrus (pSTG) of epileptic patients. The presence of visual speech suppressed responses to auditory speech, more so for words with a visual head start. We suggest that the head start inhibits representations of incompatible auditory phonemes, increasing perceptual accuracy and decreasing total neural responses. Together with previous work showing visual cortex modulation (Ozker et al., 2018b) these results from pSTG demonstrate that multisensory interactions are a powerful modulator of activity throughout the speech perception network.
Effects of Nicotine and Attention on Frequency Tuning in Auditory Cortex
ClinicalTrials.gov study NCT05018117. IPD Sharing: NO. 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.