Journal of Comparative Physiology A · Nov 2025
Vinayak G. Kamath, Anwesha Mukhopadhyay, Rishi K. Alluri, … Mark A. Bee
Abstract
Species recognition is essential for reproductive isolation and plays a central role in the evolution of mating signals. In acoustically communicating species, temporal features of calls are critical for distinguishing conspecific from heterospecific signals. Anurans rely heavily on the precise timing of pulse trains for mate recognition. Females of Hyla chrysoscelis use the species-specific temporal structure of male advertisement (Adv) calls-specifically pulse rate (PR)-to select mates. For stimuli with the Adv call PR (40-60 pulses/s), females require at least ~ 6-7 pulses to approach a sound source, implicating interval-counting neurons (ICNs) in call recognition. To test this model and further investigate the neural basis of this temporal selectivity, we used behavioral and neurophysiological approaches. We lengthened interpulse intervals (IPIs) in pulse trains either at a single midpoint or in an alternating fashion while holding pulse number and, thus, stimulus energy constant. In phonotaxis assays, females showed sharply reduced responses when even one IPI was lengthened twofold or more, revealing high sensitivity to temporal irregularity. Single-unit in vivo extracellular recordings from the auditory midbrain revealed that ICNs exhibited a progressive decline in activity with increasing IPI length, closely mirroring behavioral trends. In contrast, long-interval neurons (LINs) responded more strongly to temporally irregular stimuli. These results support the hypothesis that ICNs mediate behavioral selectivity for conspecific Adv call temporal patterns, whereas LINs may contribute to processing other call types. Our study directly links a defined neuronal population to natural behavior, underscoring how midbrain temporal computations underlie species-specific recognition in Hyla chrysoscelis.
Journal of Neural Engineering · Nov 2025
Brandon S Coventry, Cuong P Luu, Edward L Bartlett
Abstract
Objective. Infrared neural stimulation (INS) has emerged as a potent neuromodulation technology, offering safe and focal stimulation with superior spatial recruitment profiles compared to conventional electrical methods. However, the neural dynamics induced by INS stimulation remain poorly understood. Elucidating these dynamics will help develop new INS stimulation paradigms and advance its clinical application. Approach. In this study, we assessed the local network dynamics of INS entrainment in the auditory thalamocortical circuit using the chronically implanted rat model. Our approach focused on measuring INS energy-based local field potential (LFP) recruitment induced by focal thalamocortical stimulation. We further characterized linear and nonlinear oscillatory LFP activity in response to single-pulse and periodic INS and performed spectral decomposition to uncover specific LFP band entrainment to INS. Finally, we examined spike-field transformations across the thalamocortical synapse using spike-LFP coherence coupling measures. Main results. We found that INS significantly increases LFP amplitude as a log-linear function of INS energy per pulse, primarily entraining to LFP β and γ bands with synchrony extending to 200 Hz in some cases. A subset of neurons demonstrated nonlinear, chaotic oscillations linked to information transfer across cortical circuits. Finally, we utilized spike-field coherences to correlate spike coupling to LFP frequency band activity and suggest an energy-dependent model of network activation resulting from INS stimulation. Significance. We show that INS reliably drives robust network activity and can potently modulate cortical field potentials across a wide range of frequencies in a stimulus parameter-dependent manner. Based on these results, we propose design principles for developing full coverage, all-optical thalamocortical auditory neuroprostheses.
eLife · Nov 2025
Xiao Li, Jingyu Feng, Xiaohan Hu, … Jufang He
Abstract
The thalamocortical pathways exhibit neuroplasticity not only during the critical period but also in adulthood. In this study, we investigated how cholecystokinin (CCK) modulates age-dependent thalamocortical plasticity. Our findings demonstrated that CCK is expressed in thalamocortical neurons and that high-frequency stimulation (HFS) of the thalamocortical pathway triggers the release of CCK in auditory cortex (ACx), as detected by a CCK sensor. HFS of the medial geniculate body (MGB) induced thalamocortical long-term potentiation (LTP) in wild-type young adult mice. However, knockdown of CCK expression in MGB neurons or blockade of the CCK-B receptor (CCKBR) in the ACx abolished HFS-induced LTP. Interestingly, this LTP could not be elicited in juvenile (3-week-old) or aged mice (over 18-month-old) due to distinct mechanisms: the absence of CCKBR in juveniles and the inability to release CCK in aged mice. Notably, exogenous administration of CCK into the ACx rescued LTP in aged mice and significantly improved frequency discrimination. These findings highlight the potential of CCK as a therapeutic intervention for ameliorating neuroplasticity deficits associated with thalamocortical connectivity.
Advanced Science · Nov 2025
Allan Muller, Anton Filipchuk, Sophie Bagur, Brice Bathellier
Abstract
During wake, sound‐evoked and spontaneous neural activity of the auditory cortex evolves in distinct subspaces, whereas anesthesia disrupts sound responses and merges these spaces. To evaluate if similar modifications of sound representation geometry explain sensory disconnection during sleep, large neural populations of the mouse auditory cortex are followed across slow‐wave sleep and wakefulness. It is observed that sleep dampens sound responses but preserves the geometry of sound representations such that they remain separate from spontaneous activity. Moreover, response dampening is strongly coordinated across neurons and varied throughout sleep, spanning from fully preserved response patterns to population response failures on a fraction of sound presentations. These failures rarely occurred in wakefulness and are more common during high spindle‐band activity. Therefore, in sleep, the auditory system preserves sound feature selectivity up to the cortex for detailed acoustic surveillance but concurrently implements an intermittent gating mechanism leading to local sensory disconnections.
Journal of Neurophysiology · Nov 2025
Brian J. Malone, Gregg H. Recanzone
Abstract
We recorded responses of single neurons in core and belt auditory cortical fields in alert macaque monkeys to frequency-modulated sounds, key feature of many natural sounds, including speech and vocalizations. We found that the timing of neural activity, rather than its magnitude, explained decoding accuracy in all cortical areas, and we did not observe compelling evidence of improved discriminability in core or belt fields beyond that seen in the primary auditory cortex.
Neuron · Nov 2025
Patrick J. Marino, Lindsay Bahureksa, Carmen Fernández Fisac, … Aaron P. Batista
Abstract
To generate movements, the brain must combine information about movement goal and body posture. The motor cortex (primary motor cortex [M1]) is a key node for the convergence of these information streams. How are posture and goal signals organized within M1's activity to permit the flexible generation of movement commands? To answer this question, we recorded M1 activity while monkeys performed a variety of tasks with the forearm in a range of postures. We found that posture- and goal-related components of neural population activity were separable and resided in nearly orthogonal subspaces. The posture subspace was stable across tasks. Within each task, neural trajectories for each goal had similar shapes across postures. Our results reveal a simpler organization of posture signals in M1 than previously recognized. The compartmentalization of posture and goal signals might allow the two to be flexibly combined in the service of our broad repertoire of actions.
Advanced Science · Oct 2025
Xueru Wang, Qinyu Li, Zijie Li, … Ling Qin
Abstract
Impulsivity is a core pathological feature of various psychiatric disorders including obsessive‐compulsive disorder, attention‐deficit/hyperactivity disorder, and schizophrenia, which is conceptualized as dysregulated motivational and inhibitory processes. However, the underlying neural mechanism is poorly known. Using an olfactory cued Go/No‐Go task, this work finds increased false alarm rate, shortened licking onset latency, elevated licking frequency and reduced inter‐trial consistency in mice treated by the NMDAR antagonist (MK‐801). Fiber optic recordings reveal MK‐801 enhanced cue‐evoked neuronal responses in the olfactory bulb (OB), orbitofrontal cortex (OFC), ventral tegmental area (VTA), and nucleus accumbens (NAc), while reducing reward‐predictive cue selectivity and increasing NAc dopamine release. Additionally, in vivo electrophysiological recordings demonstrate that theta oscillation power in the NAc and its coherence with OB, OFC, and VTA are also amplified. MK‐801 treatment enhances the correlation between firing rates of NAc neurons and cue, decreases the association with reward, strengthens the correlation with licking and increases the probability of firing peak preceding lick onset. Furthermore, this work confirms that the application of the trace amine‐associated receptor 1 agonist SEP‐363856 could correct the abnormal responses of NAc neurons and behavioral deficits. These findings elucidate the neural basis of impulsivity and support the potential therapeutic effect of SEP.
PLOS Biology · Oct 2025
Etienne Gosselin, Sophie Bagur, Sara Jamali, … Brice Bathellier
Abstract
Early 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.
Science Advances · Oct 2025
Ana Polterovich, Maciej M. Jankowski, Johannes Niediek, … Israel Nelken
Abstract
We describe here a mode of activity of neurons in auditory cortex of freely moving rats consisting of large, slow firing rate modulations, which were not driven by sounds, were larger than the sound evoked responses, and were locked to specific time points during the task, similar to responses of hippocampal time-sensitive neurons. This activity mode had important functional consequences to sound processing during task performance. We show that the slow firing rate modulations caused the ongoing activity just before sound presentations to be higher during task performance than during passive listening. Concurrently, during task performance, the responses to target stimuli were weaker but more informative about the task-relevant sounds. In a model, higher ongoing activity caused more synaptic depression of the cortico-cortical synapses, reducing the tendency of the network to produce population spikes and resulting in weaker but more informative responses to sounds.
Science Advances · Oct 2025
Han Chen, Constantin Cretu, Abigail Trebilcock, … Tobias Moser
Abstract
Hearing relies upon speedy synaptic transmission of sound information from inner hair cells (IHCs) to spiral ganglion neurons. To accomplish this, IHCs use a sophisticated presynaptic machinery including the multi-C 2 domain protein otoferlin that is affected by human deafness mutations. Otoferlin is essential for IHC exocytosis, but how it binds Ca 2+ and the target membrane to serve synaptic vesicle (SV) tethering, docking, and fusion remained unclear. Here, we obtained cryo–electron microscopy structures of otoferlin and employed molecular dynamics simulations of membrane binding. We show that membrane binding by otoferlin involves C 2 B-C 2 G domains and repositions C 2 F and C 2 G domains. Disruption of Ca 2+ -binding sites of the C 2 D domain in mice altered synaptic sound encoding and eliminated the Ca 2+ cooperativity of IHC exocytosis, indicating that it requires the binding of several Ca 2+ -ions by otoferlin. Together, our findings elucidate molecular mechanisms underlying otoferlin-mediated SV docking and support the role of otoferlin as Ca 2+ sensor of SV fusion in IHCs.
Frontiers in Computational Neuroscience · Oct 2025
Haoming Yang, Pramod KC, Panyu Chen, … Jeffrey A. Riffell
Abstract
Neuronal synchronization refers to the temporal coordination of activity across populations of neurons, a process that underlies coherent information processing, supports the encoding of diverse sensory stimuli, and facilitates adaptive behavior in dynamic environments. Previous studies of synchronization have predominantly emphasized rate coding and pairwise interactions between neurons, which have provided valuable insights into emergent network phenomena but remain insufficient for capturing the full complexity of temporal dynamics in spike trains, particularly the interspike interval. To address this limitation, we performed in vivo neural ensemble recording in the primary olfactory center—the antennal lobe (AL) of the hawk moth Manduca sexta —by stimulating with floral odor blends and systematically varying the concentration of an individual odorant within one of the mixtures. We then applied machine learning methods integrating modern attention mechanisms and generative normalizing flows, enabling the extraction of semi-interpretable attention weights that characterize dynamic neuronal interactions. These learned weights not only recapitulated the established principles of neuronal synchronization but also facilitated the functional classification of two major cell types in the antennal lobe (AL) [local interneurons (LNs) and projection neurons (PNs)]. Furthermore, by experimentally manipulating the excitation/inhibition balance within the circuit, our approach revealed the relationships between synchronization strength and odorant composition, providing new insight into the principles by which olfactory networks encode and integrate complex sensory inputs.
Proceedings of the National Academy of Sciences · Oct 2025
Biswaranjan Mohanty, Zheshan Guo, Luke A. Johnson, … Jerrold L. Vitek
Abstract
Parkinson’s disease (PD) has been associated with alterations in neuronal activity in the basal ganglia-thalamocortical (BGTC) network. Previous studies have suggested that cortical disinhibition is a feature of PD, but there has been little direct evidence of the changes in cortical neuronal spiking activity to support this hypothesis. To test the hypothesis that activity in the motor cortex is enhanced in PD, we investigated the effects of parkinsonism on movement-related neuronal activity in the primary motor cortex (M1). Microelectrode arrays were chronically implanted in M1 of two nonhuman primates and populations of cells were collected before and after the induction of parkinsonism using the neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine. In both animals, we found that during the reaching task in the parkinsonian state, the proportion of M1 neurons that were activated (excited) during movement were increased, while those that were suppressed (inhibited) decreased. These data support the concept that dopaminergic loss in parkinsonism promotes a loss of inhibition in the motor cortex, leading to overactivity in M1 and a disruption in spatial-temporal processing of information within the BGTC circuit that contributes to the motor dysfunction observed in PD.
eLife · Oct 2025
Benedikt Praegel, Feng Chen, Adria Dym, … Adi Mizrahi
Abstract
Adolescence is a developmental period characterized by heightened plasticity. Yet, how ongoing development affects sensory processing and cognitive function is unclear. We investigated how adolescent (postnatal day 20–42) and adult (postnatal day 60–82) mice differ in performance on a pure tone Go/No-Go auditory discrimination task of varying difficulty. Using dense electrophysiological recordings, we measured spiking activity at single neuron resolution in the auditory cortex while mice were engaged in the task. As compared to adults, adolescent mice showed lower auditory discrimination performance in a difficult task. This difference in performance was due to higher response variability and weaker cognitive control expressed as higher lick bias. Adolescent and adult neuronal responses differed only slightly in representations of pure tones when measured outside the context of learning and the task. However, cortical representations after learning within the context of the task were markedly different. We found differences in stimulus- and choice-related activity at the single neuron level representations, as well as lower population-level decoding of the difficult task in adolescents. Overall, cortical decoding in adolescents was lower and slower, especially for difficult sound discrimination, reflecting immature cortical representations of sounds and choices. Notably, we found age-related differences, which were more pronounced after learning, reflecting the combined impact of age and learning. Our findings highlight distinct neurophysiological and behavioral profiles in adolescence, underscoring the ongoing development of cognitive control mechanisms and cortical plasticity during this sensitive developmental period.
Advanced Materials · Oct 2025
Changhoon Sung, Kum Seok Nam, Yeji Kim, … Seongjun Park
Abstract
Hydrogels have emerged as promising materials for anti‐fibrotic neural interfaces due to their mechanical and chemical similarity to biological tissue. However, their use in multimodal platforms remains limited, owing to fabrication challenges in microstructuring multiple functional hydrogels into compact architectures. Here, a hydrogel thermal drawing process (HG‐TDP) is presented that enables the co‐fabrication of multiple thermoplastically deformable hydrogels into a single, compact, and multifunctional fiber. By optimizing key process parameters, all‐hydrogel neural interfaces are developed that minimize gliosis through tissue‐like mechanical compliance and enable post‐implantation anti‐inflammatory drug delivery via the hydrogel‐based matrix. These fibers feature the compact integration of diverse hydrogel components, including a step‐index optical waveguide, an electrically conductive hydrogel electrode, and a hydrogel‐based microfluidic channel within a unified fiber structure. This integration enables multimodal neural interfacing, as demonstrated by high‐quality neural signal recording, optogenetic stimulation, and localized chemical modulation of neural circuits. This work offers a scalable route toward compact, fully hydrogel‐based neural interfaces that combine multimodal functionality with tissue‐friendly, anti‐fibrotic properties.
Nature Communications · Oct 2025
Vincenzo Romano, Matthijs van Driessche, Nathalie van Wingerden, … Chris I. De Zeeuw
Abstract
Cerebral cortex and cerebellum are essential for sensorimotor control, but the dynamics of their interactions remain unclear. Here, we investigated which pathways prevail during preparation and execution of spontaneous whisker movements in mice. During preparation, neuronal activity of primary motor (M1) and somatosensory (S1) cortex precede that of cerebellar crus regions, with a lead that is consistent with relaying a copy of motor commands. After movement onset, the phase of the signal inverts, indicating a dominant vector signaling from cerebellum to cerebrum. At this stage, Purkinje cell activity correlates more with S1 than M1, generating a prediction of sensory consequences during motor actions. A computational cerebello-cortical model could replicate the changes in dynamics and directionality. Optogenetic manipulations of pons and thalamus confirm the modeled predictions on stage-dependent dynamics. Together our data point towards a swap in direction of information flow between cerebrum and cerebellum when motor preparation switches to execution.
bioRxiv · Oct 2025
Gil Vantomme, Gabrielle Devienne, Jacob M Hull, John R Huguenard
Abstract
Absence epilepsy is frequently associated with cognitive impairments, yet the direct or indirect involvement of cognitive circuits remains poorly understood, as spike-and-wave discharges are rarely reported in these regions. Here, we investigate the role of a thalamic–prefrontal pathway in a mouse model of absence epilepsy (Scn8a +/- ). We find that Scn8a +/- mice exhibit deficits in reversal learning, along with impaired recruitment of medial prefrontal cortex (mPFC) neurons by the Reuniens nucleus of the thalamus. This deficit is accompanied by an altered excitation–inhibition balance and reduced excitability of layer I interneurons in the mPFC, which constitutes the main recipient zone of reuniens inputs to the mPFC. Remarkably, stimulation of Reuniens at 20 Hz significantly reduces seizure incidence and improves performance in reversal learning. Our findings reveal previously unrecognized cognitive circuit dysfunctions in absence epilepsy and highlight the thalamo–prefrontal axis as a promising target for both cognitive and seizure-related interventions.
Neurotherapeutics · Oct 2025
Mingeun Cho, Minhye Choo, Matthew Koh, … Sung-Min Park
Abstract
Sympathetic hyperactivity is a common feature observed in both primary and secondary hypertension, and neuromodulation-based therapies targeting this overactivity are under active investigation. The intermediolateral nucleus (IML) in the spinal cord plays a central role in sympathetic regulation, and its direct stimulation induces a transient, frequency-dependent reduction in blood pressure. However, this effect gradually diminishes as the baroreflex restores blood pressure to baseline. Therefore, this study aims to develop a closed-loop (CL) stimulation system that adjusts parameters in real-time based on neural activity recorded from the IML and to enhance and prolong the transient antihypertensive effect. This strategy was evaluated in normotensive and angiotensin II-induced hypertensive rat models and compared to open-loop (OL) stimulation of equal intensity. In both models, CL stimulation produced a more sustained blood pressure reduction than that of OL stimulation. These findings suggest that CL spinal cord stimulation offers a more effective and durable therapeutic option for treating hypertension.
Cell Reports · Oct 2025
Timothy Olsen, Andrea Hasenstaub
Abstract
Cross-modal responses are common in primary sensory cortex, yet a recent study showed that signals in primary visual cortex (V1) once labeled multisensory were instead more closely related to face movements. To what extent can multisensory processing in other modalities also be explained by face movements? We measured face movements and neural activity in awake mouse primary auditory cortex (A1) and V1 in response to visual and auditory stimulation as well as during spontaneous activity. We find that visual stimuli rarely evoke face movements, A1 responses to visual input remain robust even in the absence of face movement, and optogenetic silencing of V1 reduces A1 visual responses. Taken together, these results confirm that cross-modal responses in the auditory system are primarily sensory, not state driven, in origin.
Nature Communications · Sep 2025
Longshun Li, Aniya Hartzler, Dhariyat M. Menendez-Lustri, … Andrew J. Shoffstall
Abstract
Long-term robust intracortical microelectrode (IME) neural recording quality is negatively affected by the neuroinflammatory response following microelectrode insertion. This adversely impacts brain-machine interface (BMI) performance for patients with neurological disorders or amputations. Recent studies suggest that the leakage of blood-brain barrier (BBB) and microhemorrhage caused by IME insertions contribute to increased neuroinflammation and reduced neural recording performance. Here, we evaluated dexamethasone sodium phosphate-loaded platelet-inspired nanoparticles (DEXSPPIN) to simultaneously augment local hemostasis and serve as an implant-site targeted drug-delivery vehicle. Weekly systemic treatment or control therapy was provided to rats for 8 weeks following IME implantation, while evaluating extracellular single-unit recording performance. End-point immunohistochemistry was performed to further assess the local tissue response to the IMEs. Treatment with DEXSPPIN significantly increased the recording capabilities of IMEs compared to controls over the 8-week observation period. Immunohistochemical analyses of neuron density, activated microglia/macrophage density, astrocyte density, and BBB permeability suggested that the improved neural recording performance may be attributed to reduced neuron degeneration and neuroinflammation. Overall, we found that DEXSPPIN treatment promoted an anti-inflammatory environment that improved neuronal density and enhanced IME recording performance.
Frontiers in Systems Neuroscience · Sep 2025
Jared B. Smith, Sean S. Hong, Damian J. Murphy, … Todd M. Mowery
Abstract
Introduction The posterior tail of the striatum receives dense inputs from sensory regions of cortex and thalamus, as well as midbrain dopaminergic innervation, providing a neural substrate for associative sensory learning. Previously, we have demonstrated that developmental hearing loss is associated with aberrant physiological states in striatal medium spiny neurons (MSNs). Methods Here we directly investigated auditory associative learning impairments in the striatum of adult Mongolian gerbils that underwent transient developmental hearing loss or sham hearing loss during the critical period of auditory development. We used electrophysiology to reveal significant changes to neuronal population responses in vivo and intrinsic and synaptic properties to medium spiny neurons in vitro as animals learned an appetitive “Go/No-Go” auditory discrimination task. For in vivo experiments a 64-channel electrode was implanted in the auditory region of the posterior tail of the striatum and neuronal recordings were carried out as animals learned the task. For in vitro experiments, corticostriatal slice preparations were made from animals on each day of training. Results In naïve animals from both groups there was limited to no phase locking to either auditory stimulus in vivo , and long term depression resulted from theta burst stimulation in vitro . Furthermore, intrinsic and synaptic properties in normal hearing animals were unaffected; however, the hearing loss group continued to show lowered synaptic inhibition, synaptic hyperexcitation, and suppressed intrinsic excitability in the hearing loss group. Starting around day 3–4 in both groups, the emergence of striatal medium spiny neuron phase locking to the auditory conditioning stimuli was observed in vivo . This occurred contemporaneous to an increased probability of theta burst induced LTP during MSN whole cell recording in vitro , and acquisition of the task as the correct rejection response significantly increased in the behaving animals. During the acquisition phase MSNs in the normal hearing group showed a significant decrease in synaptic inhibition and increase in synaptic excitation with no change to intrinsic excitability, while the MSNs in the hearing loss group showed a significant increase in synaptic inhibition, reduction of synaptic hyper excitability, and compensatory changes to intrinsic excitability that supported normal action potential generation. In both groups, synaptic properties were resolved to similar level of E/I balance that could be part of a conserved learning state. Discussion These changes to the intrinsic and synaptic properties likely support LTP induction in vivo and the strengthening of synapses between auditory inputs and MSNs that facilitate neuronal phase locking. These findings have significant implications for our understanding of striatal resilience to sensory impairments in early life, in addition to establishing a granular understanding of the striatal circuit changes that support reward driven stimulus–response learning.