AIMC Topic: Auditory Perception

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Reconstructing music perception from brain activity using a prior guided diffusion model.

Scientific reports
Reconstructing music directly from brain activity provides insight into the neural representations underlying auditory processing and paves the way for future brain-computer interfaces. We introduce a fully data-driven pipeline that combines cross-su...

Timbre perception in violins: spectral and formant influences of string materials in a controlled study.

Scientific reports
String instrument timbre is influenced by a complex interplay of string material, instrument body characteristics, and playing technique. However, the perceptual effects of different string materials and their relationship with acoustic parameters re...

Dynamic reorganization of functional networks underlying audiovisual interactions.

Scientific reports
Crossmodal interactions involve crosstalk between different cortical areas and dynamic recruitment of regions, which is crucial for integrating sensory information into a coherent percept. Despite their significance, the dynamic cortical networks und...

Distinct Portions of Superior Temporal Sulcus Combine Auditory Representations with Different Visual Streams.

The Journal of neuroscience : the official journal of the Society for Neuroscience
In humans, the superior temporal sulcus (STS) combines auditory and visual information. However, the extent to which it relies on visual information from the ventral or dorsal stream remains uncertain. To address this, we analyzed open-source functio...

Sequential temporal anticipation characterized by neural power modulation and in recurrent neural networks.

eLife
Relevant prospective moments arise intermittently, while most of the time is filled with irrelevant events, or noise, that constantly bombard our sensory systems. Thus, anticipating a few key moments necessitates disregarding what lies between the pr...

Temporal recurrence as a general mechanism to explain neural responses in the auditory system.

Communications biology
Computational models of neural processing in the auditory cortex usually ignore that neurons have an internal memory: they characterize their responses from simple convolutions with a finite temporal window. To circumvent this limitation, we propose ...

TFDISNet: Temporal-frequency domain-invariant and domain-specific feature learning network for enhanced auditory attention decoding from EEG signals.

Biomedical physics & engineering express
Auditory Attention Decoding (AAD) from Electroencephalogram (EEG) signals presents a significant challenge in brain-computer interface (BCI) research due to the intricate nature of neural patterns. Existing approaches often fail to effectively integr...

How musicality enhances top-down and bottom-up selective attention: Insights from precise separation of simultaneous neural responses.

Science advances
Natural environments typically contain a blend of simultaneous sounds. A substantial challenge in neuroscience is identifying specific neural signals corresponding to each sound and analyzing them separately. Combining frequency tagging and machine l...

Contrastive representation learning with transformers for robust auditory EEG decoding.

Scientific reports
Decoding of continuous speech from electroencephalography (EEG) presents a promising avenue for understanding neural mechanisms of auditory processing and developing applications in hearing diagnostics. Recent advances in deep learning have improved ...

Parvalbumin neurons and cortical coding of dynamic stimuli: a network model.

Journal of neurophysiology
Cortical circuits feature both excitatory and inhibitory cells that underlie the encoding of dynamic sensory stimuli, e.g., speech, music, odors, and natural scenes. Although previous studies have shown that inhibition plays an important role in shap...