The generation and learning of movements involves interactions among specific neuronal populations within and across brain regions. Important among these regions, for movement among other functions, are the basal ganglia, a set of evolutionarily conserved interconnected deep-brain nuclei. This is strikingly illustrated by how their pathological dysfunction in Parkinson's disease deeply impacts the ability to move. The basal ganglia control the production of different movements through dedicated circuits. These span multiple brain nuclei with complex but highly organized entry and exit routes, from the striatum, the classical input nucleus, to the substantia nigra pars reticulata (SNr), one main output nucleus. Decades of research have focused on understanding the signals that are processed through basal ganglia circuitry and how they contribute to the control of movement. In this primer, we focus on direct interactions between basal ganglia and the brainstem, through which specific populations of basal ganglia output neurons communicate with select brainstem motor centers to influence descending circuits for action. Breakthroughs in understanding brainstem circuits for action execution have made it possible to map the organization and function of the interface between basal ganglia and brainstem. This combined work has led to deep insights into how basal ganglia regulate movement with great granularity.

Many prosocial and antisocial behaviors simultaneously impact both ourselves and others, requiring us to learn from their joint outcomes to guide future choices. However, the neurocomputational processes supporting such social learning remain unclear. Across three pre-registered studies, participants learned how choices affected both themselves and others. Computational modeling tested whether people simulate how other people value their choices or integrate self- and other-relevant information to guide choices. An integrated value framework, rather than simulation, characterizes multi-outcome social learning. People update the expected value of choices using different types of prediction errors related to the target (e.g., self, other) and valence (e.g., positive, negative). This asymmetric value update is represented in brain regions that include ventral striatum, subgenual and pregenual anterior cingulate, insula, and amygdala. These results demonstrate that distinct encoding of self- and other-relevant information guides future social behaviors across mutually beneficial, mutually costly, altruistic, and instrumentally harmful scenarios.

Many genetically encoded voltage indicators (GEVIs) rely on fluorescent protein (FP) domains to report changes in membrane potential. Rapid and reversible disruption of steady-state fluorescence during voltage sensor activation revealed transient conformational changes near the chromophore in the FP domain, implicating chromophore flexibility as a potential mechanism of signal modulation. Substitution of a bulky phenylalanine near the chromophore with threonine (F165T) introduced a distinct secondary component in the fluorescence response, consistent with increased chromophore mobility. This effect was tunable: an external, directionally polarized offset (164/166F) reoriented the internal threonine side chain, restoring steric hindrance and eliminating the secondary signal. Thus, threonine can function as a context-sensitive molecular switch shaped by β-can surface chemistry. A second internal threonine (T203) also acted as a molecular switch under modified external conditions, generating a secondary signal that is susceptible to membrane curvature during depolarization suggesting that plasma membrane geometry can modulate GEVI activity under permissive conformational states. Crystal structures of Super Ecliptic pHluorin (SE), SE A227D, and a new FP variant revealed that external residues can influence internal side chain orientation. In the new variant, pH-dependent rearrangement of the seventh β-strand dramatically repositions D147 from the interior interacting with the chromophore to the external surface, while H148 shifts from the exterior to interact with the chromophore in alkaline conditions. These insights led to the development of a new GEVI, Ulla, which inverts the polarity of the optical signal─becoming brighter upon depolarization─displays reduced pH sensitivity in the physiological range, and performs reliably under low-light, high-speed imaging conditions in vitro and in vivo using widefield and 2-photon microscopy. Together, these findings present a new approach to modulating chromophore behavior offering broad potential for FP-based biosensor development.

Neurons exhibit varying electrophysiological properties due to dynamic changes in spatiotemporal molecular networks. In situ cryo-electron tomography (cryo-ET) provides advantages for high-resolution visualization of macromolecular complexes within their cellular context. Although correlation with fluorescent labeling allows cryo-ET to target specific cellular regions, it does not adequately reflect the electrophysiological properties of heterogeneous neurons. To bridge high-resolution molecular imaging with electrophysiological properties of individual neurons, we develop a Correlative Voltage Imaging and cryo-ET (CoVET) technique. The nondestructive nature of voltage imaging is compatible with cryo-ET, enabling a direct correlation between neuronal electrophysiology and molecular structures. Neurons are clustered based on their electrophysiological properties, allowing for single-cell-guided structural analysis using cryo-ET. We analyze the translational landscapes of individual neurons and find distinct structural characteristics and spatial networks among ribosomes from different electrophysiological clusters. Our results highlight the importance of the correlation between the electrophysiological properties and molecular structures.

The striatal direct and indirect pathways constitute the core for basal ganglia function in action control. Although both striatal D1- and D2-spiny projection neurons (SPNs) receive excitatory inputs from the cerebral cortex, whether or not they share inputs from the same cortical neurons, and how pathway-specific corticostriatal projections control behavior remain largely unknown. Here using a G-deleted rabies system in mice, we found that more than two-thirds of excitatory inputs to D2-SPNs also target D1-SPNs, while only one-third do so vice versa. Optogenetic stimulation of striatal D1- vs. D2-SPN-projecting cortical neurons differently regulate locomotion, reinforcement learning, and sequence behavior, implying the functional dichotomy of pathway-specific corticostriatal subcircuits. These results reveal the partially segregated yet asymmetrically overlapping cortical projections on striatal D1- vs. D2-SPNs, and that the pathway-specific corticostriatal subcircuits distinctly control behavior. It has important implications in a wide range of neurological and psychiatric diseases affecting cortico-basal ganglia circuitry.

The granular retrosplenial cortex (RSG) supports memory, orientation, and fear processing. The mouse RSG contains several cell types that are remarkably distinct from those found in other cortical regions, including low rheobase neurons that dominate layer 2/3 (L2/3 LR) and similarly exclusive pyramidal cells in layer 5a (L5a RSG). While the functions of the RSG are extensively studied in both mice and rats, it remains unknown if the transcriptomically unique cell types of the mouse RSG are evolutionarily conserved in rats. Here, we show that mouse and rat RSG contain the same unique cell types, with L2/3 LR and L5a RSG cell types together representing more than 50% of all RSG neurons in each species. This preservation of cell types in male and female rats happens despite dramatic changes in key cell-type-specific marker genes, with the expression that selectively tags mouse L5a RSG neurons completely absent in rats. Important for Cre-driver line development, we identify alternative, cross-species genes that can be used to selectively target the cell types of the RSG in both mice and rats. Our results show that the unique cell types of the RSG are conserved across millions of years of evolution and emphasize stark species-specific differences in marker genes that need to be considered when making cell-type-specific knock-in lines across species. The retrosplenial cortex is important for memory, spatial orientation, fear processing, and imagining oneself in the future. Lesions to this brain region in humans lead to an inability to find one's way home. The mouse granular retrosplenial cortex (RSG) contains neuron types that are particularly distinct from those found in neighboring regions. Whether these distinct neurons are preserved across species remains unknown. Here, we show that all cell types of the mouse RSG are also found in rats, and the unique RSG cell types dominate the region in each species. These results suggest that the unique RSG neurons support evolutionarily important functions that facilitate the preservation of these neurons across millions of years of evolution.

Acetylcholine (ACh) plays important roles in memory encoding and attention in the hippocampus. However, changes in ACh signaling patterns during different neural and behavioral states remain poorly understood. Here, we used a genetically encoded ACh sensor and multi-plane, dual-color two-photon microscopy to establish the ACh signaling patterns in hippocampal CA1 of mice performing spatial behaviors. We observed spatially homogeneous signaling across volumes spanning hundreds of microns, which was positively correlated with locomotion speed. In novel environments, there was an increase in release persisting for dozens of laps while maintaining a positive speed correlation. When mice voluntarily disengaged, the magnitude of the speed-correlated release decreased, and this was accompanied by reduced place cell numbers and less precise place maps. Administration of scopolamine mimicked the effects of voluntary disengagement in terms of behavior and place cell metrics. These findings establish behaviorally correlated ACh signaling patterns in the hippocampus.

Models of visual salience detection rely on center-surround interactions, yet it remains unclear how these computations are distributed across retinal, cortical, and subcortical circuits due to their overlapping contributions. Here, we reveal a de novo collicular mechanism for surround suppression by combining patterned optogenetics with whole-cell recordings from individual neurons in the mouse superficial superior colliculus (SCs). Center zones were defined by monosynaptic input from channelrhodopsin-expressing retinal ganglion cells in collicular midbrain slices. Surround network optoactivation suppressed center responses compared to center-only input. This suppression is excitatory in origin, arising from the withdrawal of center excitation via surround-driven inhibition of local recurrent excitatory circuits, as demonstrated by cell-type-specific trans-synaptic tracing and computational modeling. These findings identify a local circuit mechanism for saliency computation in the SCs, independent of cortical input.

To navigate dynamic environments, animals must rapidly integrate sensory information and respond appropriately to gather rewards and avoid threats. It is well established that dopamine (DA) neurons in the ventral tegmental area (VTA) and substantia nigra (SNc) are key for creating associations between environmental stimuli (i.e., cues) and the outcomes they predict. Critically, it remains unclear how sensory information is integrated into dopamine pathways. The superior colliculus (SC) receives direct visual input and is positioned as a relay for dopamine neuron augmentation. We characterized the anatomy and functional impact of SC projections to the VTA/SNc in male and female rats. First, we show that neurons in the deep layers of SC synapse densely throughout the ventral midbrain, interfacing with projections to the striatum and ventral pallidum, and these SC projections excite dopamine and GABA neurons in the VTA/SNc in vivo. Despite this, cues predicting SC→VTA/SNc neuron activation did not reliably evoke behavior in an optogenetic Pavlovian conditioning paradigm, and activation of SC→VTA/SNc neurons did not support primary reinforcement or produce place preference/avoidance. Instead, we find that stimulation of SC→VTA/SNc neurons evokes head turning. Focusing optogenetic activation solely onto dopamine neurons that receive input from the SC was sufficient to invigorate turning, but not reinforcement. Turning intensity increased with repeated stimulations, suggesting that this circuit may underlie sensorimotor learning for exploration and attentional switching. Together, our results show that collicular neurons contribute to cue-guided behaviors by controlling pose adjustments through interaction with dopamine neurons that preferentially engage movement instead of reward. In dynamic environments, animals must rapidly integrate sensory information and respond appropriately to survive. Dopamine (DA) neurons are key for creating associations between environmental cues through learning, but it remains unclear how relevant sensory information is integrated into DA pathways to guide this process. The superior colliculus (SC) is positioned for rapid sensory augmentation of dopamine neurons. Using a combination of approaches, we find that SC neurons projecting to the ventral midbrain activate dopamine neurons and drive postural changes without creating conditioned behavior or valence. Our results highlight a brain circuit that is important for guiding movement to redirect attention, via interaction with classic learning systems, and suggest distinct subpopulations of dopamine neurons preferentially engage movement instead of reward.

Synchronous neuronal ensembles play a pivotal role in the consolidation of long-term memory in the hippocampus. However, their organization during the acquisition of spatial memory remains less clear. In this study, we used neuronal population voltage imaging to investigate the synchronization patterns of mice CA1 pyramidal neuronal ensembles during the exploration of a new environment, a critical phase for spatial memory acquisition. We found synchronous ensembles comprising approximately 40% of CA1 pyramidal neurons, firing simultaneously in brief windows (~25ms) during immobility and locomotion in novel exploration. Notably, these synchronous ensembles were not associated with contralateral ripple oscillations but were instead phase-locked to theta waves recorded in the contralateral CA1 region. Moreover, the subthreshold membrane potentials of neurons exhibited coherent intracellular theta oscillations with a depolarizing peak at the moment of synchrony. Among newly formed place cells, pairs with more robust synchronization during locomotion displayed more distinct place-specific activities. These findings underscore the role of synchronous ensembles in coordinating place cells of different place fields.

Foraging and food consumption are fundamental for the survival of animals. In natural environments, wild rodents feed on insects, including moth larvae, and odor-guided evaluation of potential food resources is a critical step in initiating feeding behavior. However, the mechanisms by which rodents seek and feed on insect prey remain poorly understood. Herein, we employed a laboratory-based predator-prey interaction system using mice and cotton bollworm larvae to investigate the neural mechanisms underlying food-seeking and feeding behaviors at both cellular and neural circuit levels. We demonstrate that mice exhibit a strong preference for consuming fed larvae, and this preference is dependent on the main olfactory system. Gas chromatography-mass spectrometry analysis revealed significant differences in the chemical profiles of fed and unfed larvae, with fed larvae containing a higher level of linoleic acid (LA) and a lower level of (Z)-9-tricosene [(Z)-9-TE]. Behavioral assays showed that mice, as well as Brand's voles and brown rats, are attracted to LA but avoid (Z)-9-TE in a two-choice odor preference test. Furthermore, we identified that the dopaminergic pathway from the ventral tegmental area (VTA) to the medial olfactory tubercle (mOT) plays a central role in mediating this preference. Chemogenetic inhibition of this pathway abolished the preference for LA over (Z)-9-TE, while chemogenetic activation reversed this effect. Additionally, fiber photometry recordings and pharmacology revealed that mOT D1 and D2 spiny projection neurons preferentially mediate attraction to LA and avoidance of (Z)-9-TE, respectively. These findings uncover a neurobiological system in rodents that supports insect predation based upon chemosignals.

Social learning enables a subject to make decisions by observing the actions of another. How neural circuits acquire relevant information during observation to guide subsequent behavior is unknown. Utilizing an observational spatial working memory task, we show that neurons in the rat anterior cingulate cortex (ACC) associated with spatial trajectories during self-running in a maze are reactivated when observing another rat running the same maze. The observation-induced ACC activities are reduced in error trials and are correlated with activities of hippocampal place cells representing the same trajectories. The ACC activities during observation also predict subsequent hippocampal place cell activities during sharp-wave ripples and spatial contents of hippocampal replay prior to self-running. The results support that ACC neurons involved in decisions during self-running are reactivated during observation and interact with hippocampal replay to guide subsequent spatial navigation.

This review examines the cholinergic (Ch) basal forebrain and its role in neurodegeneration. Terminology used to describe Ch cells and the complex region of the basal forebrain are reviewed. Practical autopsy sampling and labeling strategies for Ch cells are discussed and illustrated with the goal of facilitating diagnostic work and autopsy-based studies of this region. The anatomic connectivity of the system is reviewed with an emphasis placed on the dense cholinergic input to the amygdala, the major target of the Ch basal forebrain, as well as the hippocampus. Ch and basal forebrain neuropathology in various neurodegenerative diseases is then briefly discussed, including more recent studies of TDP-43 proteinopathies. Finally, areas for further study that might further the understanding of the Ch system in neurodegeneration are emphasized.

Hippocampal remapping, in which place cells form distinct activity maps across different environments, is a well-established phenomenon with a range of theoretical interpretations. Some theories propose that remapping helps to minimize interference between competing spatial memories, whereas others link it to shifts in an underlying latent state representation. However, how these interpretations of remapping relate to one another, and what types of activity changes they are compatible with, remains unclear. To unify and elucidate the mechanisms behind remapping, we here adopt a neural coding and population geometry perspective. Assuming that hippocampal population activity can be understood through a linearly-decodable latent space, we show that there are three possible mechanisms to induce remapping: (i) a true change in the mapping between neural and latent space, (ii) modulation of activity due to non-spatial mixed selectivity of place cells, or (iii) neural variability in the null space of the latent space that reflects a redundant code. We simulate and visualize examples of these remapping types in a network model, and relate the resultant remapping behavior to various models and experimental findings in the literature. Overall, our work serves as a unifying framework with which to visualize, understand, and compare the wide array of theories and experimental observations about remapping, and may serve as a testbed for understanding neural response variability under various experimental conditions.

Sleep entails profound changes in the brain and body, marked by altered states of consciousness and reduced somatic and autonomic motor activity. Regarding "how" sleep is regulated, whole-brain screening revealed large sleep-control networks spanning the forebrain, midbrain, and hindbrain. We unify diverse experimental evidence under a "motor theory," in which the sleep-control mechanism is integral to somatic and autonomic motor circuits. Regarding the "why" question, sleep deprivation impairs cognition, emotion, metabolism, and immunity. We propose catecholamine (dopamine, noradrenaline, and adrenaline) inactivation as the fundamental biological process underlying sleep's numerous benefits. Beyond brain arousal and motor activity, catecholamines regulate metabolism and immunity; their sleep-dependent suppression yields wide-ranging advantages, promoting repair and rejuvenation. Furthermore, catecholaminergic neurons are metabolically vulnerable; their need for rest and recovery may drive homeostatic sleep pressure. Together, the motor theory offers a unifying framework for sleep control, while the catecholamine hypothesis posits a core mechanism mediating sleep's multifaceted benefits.

Dysfunction of the basal ganglia is implicated in a wide range of neurological and psychiatric disorders. Our understanding of the operation of the basal ganglia is largely derived on data from studies conducted on mice, which are frequently used as model organisms for various clinical conditions. The striatum, the largest compartment of the basal ganglia, consists of 90-95% striatal projection neurons (SPNs). It is therefore crucial to establish if human and mouse SPNs have distinct or similar properties, as this has implications for the relevance of mouse models for understanding the human striatum. To address this, we compared the general organization of the somato-dendritic tree of SPNs, the dimensions of the dendrites, the density and size of spines (spine surface area), and ion channel subtypes in human and mouse SPNs. Our findings reveal that human SPNs are significantly larger, but otherwise the organisation of the dendritic tree (dendrogram) with an average of approximately 5 primary dendrites, is similar in both species. Additionally in both humans and mice, over 90% of the spines are located on the terminal branches of each dendrite. Human spines are somewhat larger (4.3 versus 3.1 μm2) and the terminal dendrites have a uniform diameter in both humans and mice, although somewhat broader in the latter (1.0 versus 0.6 μm). The composition of ion channels is also largely conserved. These data have been used to simulate human SPNs building on our previous detailed simulation of mouse SPNs. We conclude that the human SPNs essentially appear as enlarged versions of the mouse SPNs. This similarity suggests that both species process information in a comparable manner, supporting the relevance of mouse models for studying the human striatum.

Compulsive actions are typically thought to reflect the dominance of habits over goal-directed action. To investigate this, we mimicked the striatal neuroinflammation that is frequently exhibited in individuals with compulsive disorders in rats, by injecting the endotoxin lipopolysaccharide into the posterior dorsomedial striatum, and assessed the consequences for behavioural control. Surprisingly, this manipulation caused rats to acquire and maintain goal-directed actions under conditions that would otherwise produce habits. Immunohistochemical analyses indicated that these behaviours were a result of astrocytic proliferation. To probe this further, we chemogenetically activated the Gi-pathway in striatal astrocytes, which altered the firing properties of nearby medium spiny neurons and modulated goal-directed action control. Together, results show that striatal neuroinflammation is sufficient to bias action selection toward excessive goal-directed control via dysregulated astrocyte function. If translatable, our findings suggest that, contrary to conventional views, individuals with striatal neuroinflammation might be more prone to maladaptive goal-directed actions than habits, and future interventions should aim to restore appropriate action control.

The striatum plays a central role in action selection and reinforcement learning, integrating cortical inputs with dopaminergic signals encoding reward prediction errors. While dopamine modulates synaptic plasticity underlying value learning, the mechanisms that enable selective reinforcement of behaviorally relevant stimulus-action associations-the structural credit assignment problem-remain poorly understood, especially in environments with multiple competing stimuli and actions. Here, we present a computational model in which acetylcholine (ACh), released by striatal cholinergic interneurons, acts as a channel-specific gating signal that restricts plasticity to brief temporal windows following action execution. The model implements a biologically plausible three-factor learning rule requiring presynaptic activity, postsynaptic depolarization, and phasic dopamine, with plasticity gated by cholinergic pauses that temporally align with behaviorally relevant events. This mechanism ensures that only synapses involved in the selected behavior are eligible for modification. Through systematic evaluation across tasks with distractors and contingency reversals, we show that ACh-gated learning promotes synaptic specificity, suppresses cross-channel interference, and yields increasingly competitive performance relative to Q-learning in complex tasks, reflecting the scalability of the proposed learning mechanism. Moreover, the model reveals distinct roles for striatal pathways: direct pathway (D1) neurons maintain stimulus-specific responses, while indirect pathway (D2) neurons are progressively recruited to suppress outdated associations during policy adaptation. These findings provide a mechanistic account of how coordinated cholinergic and dopaminergic signaling can support scalable and efficient reinforcement learning in the striatum, consistent with experimental observations of pathway-specific plasticity.

Measuring synaptic efficacy and defining the rules for induction of synaptic plasticity at identified connections in the mammalian brain is essential for understanding how synapses contribute to learning and memory. This requires new approaches to selectively evoke presynaptic activity and measure postsynaptic responses with high spatiotemporal resolution and high sensitivity over long periods in vivo. Here we develop an all-optical approach to probe synaptic plasticity at identified cerebellar synapses in awake, behaving mice. We developed and applied JEDI-2Psub, a genetically encoded voltage indicator with increased sensitivity around resting membrane potentials, to record subthreshold and suprathreshold activity in Purkinje cell (PC) dendrites while selectively activating their granule cell (GrC) inputs using optogenetics and their climbing fiber (CF) inputs using sensory stimulation. We measured synaptic potentials and complex spike signals across the dendrites of multiple neighboring PCs, enabling us to examine correlations in voltage signals within and between neurons. We show how pairing GrC activity with sensory-evoked CF inputs can trigger long-term plasticity of inhibitory responses in PCs. These results provide a blueprint for defining the rules for plasticity induction at identified synapses in awake animals during behavior.

Episodic memories are initially encoded in the hippocampus and subsequently undergo systems consolidation into the neocortex. The nature of memories stored in the hippocampus and neocortex differs, with the cortex encoding memories in more generalized forms. Although several brain regions encode social information, the specific cortical regions and circuits involved in the consolidation of social memories and the nature of the information encoded in the cortex remain unclear. Using in vivo Ca imaging and optogenetic manipulations, we found that infralimbic (IL) neurons projecting to the nucleus accumbens shell (IL) store consolidated social memories in male mice. Inactivating IL neurons that responded to a familiar conspecific impaired the recognition of other familiar mice including littermates, demonstrating that these neuronal activities support social familiarity. Furthermore, inactivating hippocampal ventral CA1 neurons projecting to the IL region disrupted the consolidation of memory for newly familiarized mice while sparing the recognition of littermates. These findings demonstrate the critical role of hippocampal-cortical interactions in the consolidation of social memory.

Every explored environment is represented in the hippocampus by the activity of distinct populations of pyramidal cells (PCs) that typically fire at specific locations called their place fields (PFs). New PFs are constantly born even in familiar surroundings (during representational drift), and many rapidly emerge when the animal explores a new or altered environment (during global or partial remapping). Behavioral time scale synaptic plasticity (BTSP), a plasticity mechanism based on prolonged somatic action potential (AP) bursts induced by dendritic Ca/NMDA plateau potentials, was recently proposed as the main cellular mechanism underlying new PF formations (PFFs), but it is unclear whether burst-associated large somatic [Ca] transients are always necessary and/or sufficient for PFF. To address this issue, here we performed in vivo two-photon [Ca] imaging of hippocampal CA1 PCs in head-restrained mice to investigate somatic [Ca] dynamics underlying PFFs in familiar and novel virtual environments. Our results demonstrate that although many PFs are formed by BTSP-like events, PFs also emerge with initial [Ca] dynamics that do not match any of the characteristics of BTSP. BTSP- and non-BTSP-like new PFFs occur spontaneously in familiar environments, during neuronal representational switches, and instantaneously in new environments. Our data also reveal that solitary [Ca] transients with larger amplitudes than those evoking BTSP-like PFFs frequently occur without inducing PFs, demonstrating that large [Ca] transients per se are not sufficient for PFF.

Dopaminergic neurons (DANs) in the substantia nigra pars lateralis (SNL) project to the tail of striatum, where they contribute to threat behaviors. Auditory cortex contributes to threat conditioning, but whether it directly modulates DANs is unclear. Here, we show that SNL DANs fire irregularly, achieve rapid maximal firing rates, exhibit distinct ionic conductances, and receive predominantly excitatory input. This contrasts with substantia nigra pars compacta (SNc) DANs that fire regularly and receive mainly inhibitory input, establishing SNL DANs as a physiologically distinct dopaminergic subpopulation. Functional mapping revealed robust excitatory input from auditory and temporal association cortices to SNL DANs, but not SNc DANs. In behavioral experiments, inhibiting neurotransmitter release from either SNL DANs or cortical afferents to SNL resulted in impaired auditory threat conditioning. Thus, our work reveals robust functional corticonigral projections to SNL DANs which directly regulate threat behaviors.

Dopamine midbrain (DA) neurons are involved in a wide array of key brain functions including movement control and reward-based learning. They are also critical for major brain disorders such as Parkinson Disease or schizophrenia. DA neurons projecting to distinct striatal territories are diverse with regards to their molecular makeup and cellular physiology, which are likely to contribute to the observed differences in temporal dopamine dynamics. Among these regions, the dorsolateral striatum (DLS) displays the fastest dopamine dynamics, which might control the moment-to-moment vigor and variability of voluntary movements. However, the underlying mechanisms for these DLS-specific fast DA fluctuations are unresolved. Here, we show that DLS-projecting DA neurons in the substantia nigra (SN) possess a unique biophysical profile allowing immediate 10-fold accelerations in discharge frequency via rebound bursting. By using a combination of patch-clamp recordings in projection-defined DA SN subpopulations from adult male mice and developing matching projection-specific computational models, we demonstrate that a strong interaction of Ca3 and SK channels specific for DLS-projecting Aldh1a1-positive DA SN (DLS-DA) neurons controls the gain of fast rebound bursting, while K4 and HCN channels mediate timing of rebound excitability. In addition, GIRK channels activated by D2- and GABA-receptors prevent rebound bursting in these DLS-DA neurons. Furthermore, our in vivo patch-clamp recordings and matching in vivo computational models provide evidence that these unique rebound properties might be preserved in the intact brain, where they might endow specific computational properties well suited for the generation of fast dopamine dynamics present in the dorsolateral striatum. DLS-projecting DA neurons in the SN exhibit unique rebound bursting that enables rapid, 10-fold increases in firing frequency. This firing fingerprint is driven by Ca3 and SK channel interactions, modulating burst gain, and fine-tuned by K4 and HCN channels controlling rebound timing. GIRK channels, activated by D2- and GABA-receptors, inhibit this bursting. In vivo patch-clamp recordings provide evidence that these rebound dynamics might be preserved in the intact brain, potentially supporting the fast dopamine fluctuations crucial for controlling movement vigor and variability in the DLS. These findings provide insights into the mechanisms underlying fast DA dynamics and their role in motor function, with implications for brain disorders like Parkinson disease and schizophrenia.

Similar to motor skill learning in mammals, vocal learning in songbirds requires a set of interconnected brain areas that make up an analogous basal ganglia-thalamocortical circuit known as the anterior forebrain pathway (AFP). Although neural activity in the AFP has been extensively investigated during awake singing, very little is known about its neural activity patterns during other behavioral states. Here, we used chronically implanted Neuropixels probes to investigate spontaneous neural activity in the AFP during natural sleep and awake periods in male zebra finches. We found that during sleep, neuron populations in the pallial region LMAN (lateral magnocellular nucleus of the nidopallium) spontaneously exhibited synchronized bursts that were characterized by a negative sharp deflection in the local field potential (LFP) and a transient increase in gamma power. LMAN population bursts occurred primarily during non-rapid eye movement (NREM) sleep and were highly reminiscent of sharp-wave ripple (SWR) activity observed in rodent hippocampus. We also examined the functional connectivity within the AFP by calculating the pairwise LFP coherence. As expected, delta and theta band coherence within LMAN and Area X was higher during sleep compared to awake periods. Contrary to our expectations, we did not observe strong coherence between LMAN and Area X during sleep, suggesting that the input from LMAN into Area X is spatially restricted. Overall, these results provide the first description of spontaneous neural dynamics within the AFP across behavioral states. Although cortical and basal ganglia circuits are known to be required for learning in both mammals and birds, little is known about the ongoing spontaneous activity patterns within these circuits, or how they are modulated by behavioral state. Here we prove the first description of cortical-basal ganglia network activity during sleep and awake periods in birds. Within the pallial area LMAN, we observed population-wide bursting events that were highly reminiscent of hippocampal sharp-wave ripple (SWR) activity, suggesting that large-scale population events have diverse functions across vertebrates.

Spiny projection neurons (SPNs) in the dorsal striatum play crucial roles in locomotion control and value-based decision-making. SPNs, which include both direct-pathway striatonigral and indirect-pathway striatopallidal neurons, can be further classified into subtypes based on distinct transcriptomic profiles and cell body distribution patterns. However, how these SPN subtypes regulate spontaneous locomotion in the context of environmental valence remains unclear. Using Sepw1-Cre transgenic mice, which label a specific SPN subtype characterized by a patchy distribution of cell bodies in the dorsal striatum, we found that these patchy striatonigral neurons constrain motor vigor in response to valence differentials. In a modified light/dark box test, mice exhibited differential walking speeds between the light and dark zones. Genetic ablation of these patchy SPNs disrupted restful slowing in the dark zone and increased zone discrimination by speed. In vivo recordings linked the activity of these neurons to zone occupancy, speed, and deceleration, with a specific role in mediating deceleration. Furthermore, chemogenetic activation of patchy SPNs-and optical activation of striatonigral neurons in particular-reduced locomotion and attenuated speed-based zone discrimination. These findings reveal that a subtype of patchy striatonigral neurons regulates implicit walking speed selection based on innate valence differentials.