sigmoid.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A social space for people researching, working with, or just interested in AI!

Server stats:

588
active users

#auditory

0 posts0 participants0 posts today

NEW: Former Gallaudet Employee Speaks Out Against “Deceitful, Fanciful Thinking” in University’s Response to DoEd Layoffs
Disability Rights Watch (2025)

The Deaf and Gallaudet communities need to band together to (1) push the Gallaudet Board of Trustees and administration to acknowledge these facts and lobby—and sue, if necessary—for this restoration and reinstatement, and (2) write to senators and representatives to advocate.

disability-rights-watch.com/20

#paperThread #auditory #neuroscience
Our latest paper just came out in the Journal of Neuroscience “Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing.” We follow the cortical processing of four different speech-like stimuli (dushk88.github.io/progression-) through the brain, using MEG, from early auditory cortex to areas processing semantic-level information. The results show that each language-sensitive processing stage shows both an early (bottom-up-like) cortical contribution and a late (top-down-like) cortical contribution consistent with predictive coding. jneurosci.org/content/45/11/e1
fediscience.org/@jzsimon/11186

progression-of-neural-featuresProgression of acoustic, phonemic, lexical, and sentential neural features emerge during speech listening

Hierarchical encoding of natural sounds mixtures in ferret auditory cortex biorxiv.org/content/10.1101/20 spectrotemporal filter-bank model, higher-order mechanisms, #auditory #neuroscience

bioRxiv · Hierarchical encoding of natural sounds mixtures in ferret auditory cortexExtracting relevant auditory signals from complex natural scenes is a fundamental challenge for the auditory system. Sounds from multiple sources overlap in time and frequency. In particular, dynamic "foreground" sounds are often masked by more stationary "background" sounds. Human auditory cortex exhibits a hierarchical organization where background-invariant representations are progressively enhanced along the processing stream, from primary to non-primary regions. However, we do not know whether this organizational principle is conserved across species and which neural mechanisms drive this invariance. To address these questions, we investigated background invariance in ferret auditory cortex using functional ultrasound imaging (fUSI), which enables large-scale, high-resolution recordings of hemodynamic responses. We measured responses across primary, secondary, and tertiary auditory cortical regions as ferrets passively listened to mixtures of natural sounds and their components in isolation. We found a hierarchical gradient of background invariance, mirroring findings in humans: responses in primary auditory cortex reflected contributions from both foreground and background sounds, while background invariance increased in higher-order auditory regions. Using a spectrotemporal filter-bank model, we found that in ferrets, this hierarchical structure could be largely explained by tuning to low-order acoustic features. However, this model failed to fully account for background invariance in human non-primary auditory cortex, suggesting that additional, higher-order mechanisms are crucial for background segregation in humans. ### Competing Interest Statement The authors have declared no competing interest.

Hierarchical encoding of natural sounds mixtures in ferret auditory cortex www.biorxiv.org/content/10.1... spectrotemporal filter-bank model, higher-order mechanisms, #auditory #neuroscience

Hierarchical encoding of natur...

bioRxiv · Hierarchical encoding of natural sounds mixtures in ferret auditory cortexExtracting relevant auditory signals from complex natural scenes is a fundamental challenge for the auditory system. Sounds from multiple sources overlap in time and frequency. In particular, dynamic "foreground" sounds are often masked by more stationary "background" sounds. Human auditory cortex exhibits a hierarchical organization where background-invariant representations are progressively enhanced along the processing stream, from primary to non-primary regions. However, we do not know whether this organizational principle is conserved across species and which neural mechanisms drive this invariance. To address these questions, we investigated background invariance in ferret auditory cortex using functional ultrasound imaging (fUSI), which enables large-scale, high-resolution recordings of hemodynamic responses. We measured responses across primary, secondary, and tertiary auditory cortical regions as ferrets passively listened to mixtures of natural sounds and their components in isolation. We found a hierarchical gradient of background invariance, mirroring findings in humans: responses in primary auditory cortex reflected contributions from both foreground and background sounds, while background invariance increased in higher-order auditory regions. Using a spectrotemporal filter-bank model, we found that in ferrets, this hierarchical structure could be largely explained by tuning to low-order acoustic features. However, this model failed to fully account for background invariance in human non-primary auditory cortex, suggesting that additional, higher-order mechanisms are crucial for background segregation in humans. ### Competing Interest Statement The authors have declared no competing interest.

Duration adaptation depends on the perceived rather than physical duration and can be observed across sensory modalities journals.sagepub.com/doi/10.11 "duration adaptation relies on perceived duration and can occur across sensory modalities"; #crossmodal #multisensory #temporal #perception

"adapting to a subjectively matched #visual stimulus produced a significant aftereffect when the test stimulus was #auditory, indicating the existence of the cross-modal adaptation."

Distinct cortical populations drive #multisensory modulation of segregated #auditory sources biorxiv.org/content/10.1101/20

bioRxiv · Distinct cortical populations drive multisensory modulation of segregated auditory sourcesAuditory perception can be modulated by other sensory stimuli. However, we do not fully understand the neural mechanisms that support multisensory behavior. Here, we recorded spiking activity from the primary auditory cortex (A1) in non-human primates, while they detected a target vocalization that was embedded in a background chorus of vocalizations. We found that a congruent video of a monkey eliciting a vocalization improved the monkeys' behavior, relative to their performance when we only presented a static image of the monkey. As a proxy for the functional organization of A1, we compared the contribution of neurons with significant spectrotemporal response fields (STRFs) with those that had non-significant STRFs (nSTRFs). Based on spike-waveform shape and functional connectivity, STRF and nSTRF neurons appeared to belong to distinct neural populations. Consistent with this, we found that although STRF neurons encoded stimulus information through synchronized activity, the population of nSTRF neurons encoded task-related information in the primate A1 more as a structured dynamic process. Together, these findings demonstrate a functional distinction between the behavioral contributions of nSTRF and STRF neurons. ### Competing Interest Statement The authors have declared no competing interest.