During behavior, neural activity of thalamo-cortical systems often reflects dynamic combinations of sensory and task-dependent variables, and these “mixed representations” are suggested to be important for perception, learning, and plasticity. However, the extent to which such integrative computations might occur also in lower-order brain regions is less clear. We conducted cellular-resolution 2-photon Ca2+ imaging in the inferior colliculus (IC), as head-fixed mice performed a reward-based psychometric auditory task. We find that the activity of individual shell IC neurons jointly reflects auditory cues, mice’s actions, and behavioral trial outcomes, such that neural population activity indicates mice’s behavioral choice. Consequently, simple classifier models trained on IC neuron activity can predict trial-by-trial outcomes. Thus, in behaving mice, auditory midbrain neurons transmit a population code that reflects a joint representation of sound, actions, and task-dependent variables, adding the IC as an important puzzle piece for perceptual learning circuits and auditory-guided behavior.
Infants rapidly develop from being naïve listeners, who experience language as a sea of sounds, to understanding their native language(s). How does this remarkable learning process unfold? One potentially useful source of information lies in the statistical patterns that characterize natural languages, which signal structures ranging from phonemes to words to grammatical structures. Over the past two decades, researchers have demonstrated that infants are sensitive to myriad statistical regularities in language input. Beyond merely tracking these patterns, how might infants use statistical regularities to support language development? In my presentation, I will explore the hypothesis that infants exploit statistical regularities in the service of efficiently processing information in their linguistic environments, generating predictions and detecting areas of uncertainty that merit additional learning. By learning to efficiently encode language input, infants become increasingly able to process their native language(s).
Didulani Dantanarayana, M.Sc. Audiology
62 Goodnight Hall @ 12:00 pm - 1:00 pm Learn more about Prosem
Children show significant variability in outcome measures including speech understanding in quiet and in noise. Children with hearing loss show even greater variability; numerous factors can contribute to such variability, including auditory experience prior to the onset of deafness and implantation and the downstream effects of deafness, including neurocognitive abilities neural health and the integrity of the auditory system.
Tim K. Murphy, PhD Postdoctoral Research Associate Department of Communication Sciences & Disorders University of Wisconsin-Madison Statistical Learning in Speech Perception Affects Speech Production The idea that neurocognitive processes subserving speech perception and production are …
The discussion group meeting will be dedicated to the facilitation of focused discussion on Diversity, Equity, and Inclusion, Accessibility, and Belonging (DEIAB). This meeting will center on organizing groups for students to foster open dialogues …