Biology subjects

Puel, J.-L.

Publications and source records attributed to Puel, J.-L..

4 recordsLinked to original sources

bioRxiv2025

Feature-dependent decorrelation of sound representations across the auditory pathway

AbstractEarly studies on orientation selectivity in the visual cortex have suggested that sensory systems generate new feature representations at specific processing stages. Many observations challenge this view, but in the absence of systematic, multistage measurements, the logic of how feature tuning emerges remains elusive. Here, using a generic approach based on representational similarity analysis with a noise-corrected population metric, we demonstrate in the mouse auditory system that feature representations evolve gradually with, in some cases, major, feature-specific improvements at particular stages. We observe that single frequency tuning is already fully developed in the cochlear nucleus, the first stage of processing, while tuning to higher-order features improves up to the auditory cortex, with major steps in the inferior colliculus for amplitude modulation frequency or noise bandwidth tuning and in the cortex for frequency modulation direction and for complex sound identity or direction. Moreover, we observe that intensity tuning is established in a feature-dependent manner, earlier for pure frequencies than for more complex sounds. This indicates that auditory feature computations are a mix of stepwise and gradual processes which together contribute to decorrelate sound representations.

neuroscience↗

bioRxiv2022

Emergence of a time-independent population code in auditory cortex enables sound categorization and discrimination learning

The temporal structure of sensory inputs contains essential information for their interpretation by the brain1-9. Sensory systems represent these temporal cues through two codes: the temporal sequences of neuronal activity and the spatial patterns of neuronal firing rate3,7,10-20. However, it is still unknown which of these two coexisting codes causally drives sensory decisions3,10,20,21. To separate their contributions, we designed an optogenetic stimulation paradigm in the mouse auditory cortex to generate neuronal activity patterns differing exclusively along their temporal or spatial dimensions. Training mice to discriminate these patterns shows that they efficiently learn to discriminate spatial but not temporal patterns, indicating that spatial representations are necessary for sensory learning. In line with this result, we observed, based on large-scale neuronal recordings of the auditory system, that the auditory cortex is the first region in which spatial patterns efficiently represent temporal auditory cues varying over several hundred milliseconds. This feature is shared by the deep layers of neural networks trained to categorise time-varying sounds. Therefore, the emergence of a spatial code for temporal sensory cues is a necessary condition to associate temporally structured stimuli to decisions. We expect this constraint to be crucial for re-engineering perception by cortical stimulation.

neuroscience↗

bioRxiv2021

Probing adaptation and spontaneous firing in human auditory-nerve fibers with far-field peri-stimulus time responses

Information in sound stimuli is conveyed from sensory hair cells to the cochlear nuclei by the firing of auditory nerve fibers (ANFs). For obvious ethical reasons, single unit recordings from the cochlear nerve have never been performed in human, thus functional hallmarks of ANFs are unknown. By filtering and rectifying the electrical signal recorded at the round window of gerbil cochleae, we reconstructed a peri-stimulus time response (PSTR), with a waveform similar to the peri-stimulus time histograms (PSTHs) recorded from single ANFs. Pair-by-pair analysis of simultaneous PSTR and PSTH recordings in gerbil provided a model to predict the rapid adaptation and spontaneous discharge rates (SR) in a population of ANFs according to their location in the cochlea. We then probed the model in the mouse, in which the SR-based distribution of ANFs differs from the gerbil. We show that the PSTR-based predictions of the rapid adaptation time constant and mean SR across frequency again matched those obtained by recordings from single ANFs. Using PSTR recorded from the human cochlear nerve in 8 normal-hearing patients who underwent cerebellopontine angle surgeries for a functional cranial-nerve disorders (trigeminal neuralgia or hemifacial spasm), we predicted a rapid adaptation of about 3 milliseconds and a mean SR of 23 spikes/s in the 4 kHz frequency range in human ANFs. Together, our results support the use of PSTR as a promising diagnostic tool to map the auditory nerve in humans, thus opening new avenues to better understanding neuropathies, tinnitus, and hyperacusis.

neuroscience↗

bioRxiv2020

VGLUT3-p.A211V variant fuses stereocilia bundle and elongates synaptic ribbons in the human deafness DFNA25

DFNA25 is an autosomal-dominant and progressive form of human deafness caused by mutations in the SLC17A8 gene, which encodes the vesicular glutamate transporter type 3 (VGLUT3). To resolve the mechanisms underlying DFNA25, we studied the phenotype of the mouse harboring the p.A221V mutation in human (corresponding to p.A224V in mouse). Using auditory brainstem response and distortion products of otoacoustic emissions, we showed that VGLUT3A224V/A224V mouse replicates the DFNA25 progressive hearing loss with intact cochlear amplification. Scanning electron microscopy examinations demonstrated fused stereocilia bundle of the inner hair cells (IHCs) as the primary cause for DFNA25. In addition, the IHC ribbon synapses undergo structural and functional modifications at later stages. Using super-resolution microscopy, we observed oversized synaptic ribbons associated with an increase in the rate of the sustained releasable pool of exocytosis. These results indicate that the primary defect in DFNA25 stems from a failure in the mechano-transduction followed by a change in synaptic transfer. The VGLUT3A224V/A224V mouse model opens the way to a deeper understanding and to a potential treatment of DFNA25.

neuroscience↗