Neuron

We tend to think of neurons as either excitatory or inhibitory, but certain neurons chemically inhibit their downstream targets while electrically exciting their neighbors. For example, in the cerebellum, molecular layer interneurons (MLIs) inhibit Purkinje cells (P-cells) via release of GABA but promote spiking in each other via gap junctions. What is gained by having an inhibitory neuron excite its neighbor? Here, we recorded activities of P-cells and MLIs as marmosets performed saccadic eye movements and found that spike timing in pairs of neighboring neurons of the same type exhibited a mathematical regularity: as firing rates increased, rate of spikes that were within 1ms of each other grew disproportionately while 2-4ms intervals were suppressed. To uncover the purpose of this coordination, during saccades we recorded thousands of neuron triplets in which two MLIs converged onto a single target P-cell. When the MLIs spiked within 1ms of each other, they produced superposition of their individual effects on their target; a deep inhibition followed by a post-inhibitory rebound. However, when the MLIs spiked 2-4ms apart, the two spikes interfered with each other, producing partial cancellation. Thus, electrical coupling between inhibitory neurons orchestrated their spike timing so that as firing rates increased, the temporal intervals that induced downstream superposition were promoted while the intervals that caused interference were suppressed. Main findingsO_LISpike timing among neighboring P-cells and MLIs exhibited a mathematical pattern. C_LIO_LIAs firing rates increased, the rate of 1ms spike intervals grew disproportionately while 2-4ms intervals remained at or below chance. C_LIO_LIThe 1ms intervals between pairs of MLIs produced superposition on the downstream P-cell, whereas 2-4ms intervals produced interference. C_LIO_LIIndividual P-cell spike timing exhibited reliance on an internal clock. When a P-cell generated a spike, ephaptic coupling reset the internal clock of its neighboring P-cell. C_LIO_LIThis made the two clocks run on a common time base, regulating timing of spike production among the pairs. C_LIO_LIElectrical coupling among neighboring inhibitory neurons produced constructive superposition of their individual inhibitions on their downstream neurons while simultaneously reducing spiking events that resulted in counterproductive competition. C_LI

Functional hyperemia, or matching blood flow to activity, is spatially accurate to direct the oxygen and nutrients to regionally firing neurons. The underlying signaling mechanisms of neurovascular coupling remain unclear, but are critical for brain function and establish the diagnostic power of BOLD-fMRI. Here, we described a mosaic of pericytes, the vasomotor capillary cells in the living retina. We then tested if this symmetric net of pericytes and surrounding neuroglia predicted a connectivity map in response to sensory stimuli. Surprisingly, we found that these connections were not only discriminatory across cell types, but also highly asymmetric spatially. First, pericytes connected predominantly to other neighboring pericytes and endothelial cells, and less to arteriolar smooth muscle cells, and not to surrounding neurons or glia. Second, focal, but not global stimulation evoked a directional vasomotor response by strengthening connections along the feeding vascular branch. This activity required local NO signaling and occurred by means of direct coupling via gap-junctions. By contrast, bath application of NO or diabetes, a common microvascular pathology, not only weakened the vascular signaling but also abolished its directionality. We conclude that the discriminatory nature of neurovascular interactions may thus establish spatial accuracy of blood delivery with the precision of the neuronal receptive field size, and is disrupted early in microvascular disease.\n\nHighlightsO_LIWithin a structurally symmetric mosaic, pericytes form discriminatory connections\nC_LIO_LIPericyte connectome tunes with a precision matching a neuronal receptive field\nC_LIO_LIFocal but not global input evokes a vasomotor response by strengthening the gap-junction mediated signaling towards a feeding vascular branch\nC_LIO_LIDisrupted functional connectivity map triggers loss of the functional hyperemia in diabetic neuropathy\nC_LI

Frontal cortex suppresses behavioral responses to distractor stimuli. One possible mechanism by which this occurs is by modulating sensory responses in sensory cortex. However, it is currently unknown how frontal cortex modulations of sensory cortex contribute to distractor response suppression. We trained mice to respond to target stimuli in one whisker field and ignore distractor stimuli in the opposite whisker field. During expert task performance, optogenetic inhibition of frontal cortex increased behavioral responses to distractor stimuli. During expert task performance, within sensory cortex we observed expanded propagation of target stimulus responses and contracted propagation of distractor stimulus responses. In contrast to current models of frontal cortex function, frontal cortex did not substantially modulate the response amplitude of preferred stimuli. Rather, frontal cortex specifically suppressed the propagation of distractor stimulus responses, thereby preventing target-preferring neurons from being activated by distractor stimuli. Single unit analyses revealed that wMC decorrelates target and distractor stimulus encoding in target-preferring S1 neurons, which likely improves selective target stimulus detection by downstream readers. Moreover, we observed proactive top-down modulation from frontal to sensory cortex, through the preferential activation of GABAergic neurons. Overall, our study provides important mechanistic details about how frontal cortex gates sensory propagation in sensory cortex to prevent behavioral responses to distractor stimuli. HighlightsO_LIPairing of frontal cortex optogenetic inhibition with sensory cortex recordings during a target-distractor Go/NoGo task. C_LIO_LIDuring expert task performance, we observed target stimulus response expansion and distractor stimulus response contraction. C_LIO_LIOptogenetic inhibition of frontal cortex increased false alarm rates and selectively increased the propagation of distractor evoked responses into target-aligned sensory cortex. C_LIO_LIEven before stimulus onset, frontal cortex preferentially drives GABAergic neurons in distractor-aligned sensory cortex. C_LI

Monoaminergic nuclei such as the serotonergic dorsal raphe nucleus (DRN) receive synaptic inputs containing functionally distinct streams of information, yet the dimensionality of the resulting output population code and its cellular underpinning are currently unknown. By combining electrophysiological and computational approaches, here we uncover separable neural encoding of two excitatory inputs conveying disjunct information to DRN 5-HT neurons - the lateral habenula (LHb) and medial prefrontal cortex (mPFC). Dual-color opsin strategies revealed that a population of 5-HT neurons receive inputs from both mPFC and LHb. Subthreshold excitatory postsynaptic potentials triggered by both inputs were largely indistinguishable, yet suprathreshold spiking behavior exhibited input-specific latencies and dispersion statistics. A support vector machine classifier demonstrated that input identity can be accurately decoded from spike timing, but not subthreshold events, of under ten 5-HT neurons. Upon examining the intrinsic cellular mechanisms in 5-HT neurons that couple EPSPs to spiking dynamics, we uncovered two likely candidate mechanisms: a low-threshold calcium conductance that selectively boosts slow excitatory inputs, and a subthreshold, voltage-dependent membrane noise that generates variation of spike latency and jitter. Stochastic simulations suggest that these two intrinsic properties of 5-HT neurons are sufficient to transform LHb and mPFC inputs into distinct output spiking patterns. These results reveal that hub-like networks like the DRN can segregate distinct informational streams by a cell-intrinsic mechanism. The resulting emergent population spike synchrony code provides a means for the DRN to widely broadcast these streams as a multiplexed signal. Significance statementPhylogenetically old neuromodulatory systems in the brain, such as the serotonergic dorsal raphe nucleus, are compact yet richly innervated structures. Here, we use the raphe as a testbed to ask how distinct informational sources to hub-like networks are processed or integrated into a coherent neural code. Using electrophysiological and computational methods, including biophysically grounded stochastic simulations, we find that intrinsic noise mechanisms in serotonergic neurons are critical to transform approximately matched subthreshold excitation into distinct spike timing profiles. Thus, cell-intrinsic noise mechanisms can effectively synthesize a spike synchrony code that, we hypothesize, multiplexes input information to hub-like networks at the population level even in the absence of strong local circuit interactions.

When meeting new individuals or encountering known individuals in new circumstances, we intuitively map out their relationships - not merely by direct experience, but by quickly inferring new connections based on prior relational knowledge. Using a novel task, we demonstrated that participants indeed employ knowledge of relational structures to facilitate learning of new relationships in a changing environment. Computational modelling revealed that participants leveraged relational knowledge to support inference, thus facilitating learning. Whole brain neuroimaging identified a uniquely robust representation of relational structure in the hippocampus. Neural networks trained on similar tasks demonstrated the emergence of relational structure representations, resembling those found in hippocampus. Lesioning network units sustaining such representations disrupted structure-based inference and predicted hippocampuss essential role. Transcranial ultrasound stimulation of human hippocampus, transiently modulating its activity without affecting overlying tissue, produced similar disruption effects, empirically confirming the causal necessity of hippocampal representations for structure-based inference in learning.

Animals exhibit behavior in the absence of external stimuli or explicit tasks. Is the initiation of such spontaneous behavior shaped by internal brain states in a predictable manner? If so, does it engage specific brain circuits independent of behavioral form? Here, we studied the initiation of uninstructed behaviors of head-fixed mice in two contexts: a virtual burrow and a running wheel. Across both contexts, mice spent most of the time in quiet wakefulness and spontaneously initiated bouts of egress (exiting the burrow), running, or grooming. We employed functional ultrasound imaging (fUS) to record whole-brain activity and to identify whether the initiation of spontaneous behavior could be predicted from hemodynamic signals. We first identified distinct hemodynamic patterns associated with each behavior and subsequently performed time-resolved decoding to predict behavioral transitions from fUS data. We found that whole-brain hemodynamic signals could decode spontaneous egress and running around 10 seconds before their onset, a timescale that cannot be accounted for by preceding behavioral changes alone. Furthermore, we found a network of regions, including the medial septum (MS), that decreased their signal several seconds before the onset of egress and running. Mimicking this decrease by inhibiting neurons in the MS via optogenetics increased the probability of egress, running, and grooming. Through this unbiased approach, our work sheds light on a whole-brain transition-prone state that precedes uninstructed behavior transitions.

In the primate brain the frontal lobes support complex functions, including social cognition. Understanding the functional organization of these regions requires an approach for rich functional characterization. Here we used a novel paradigm, the visual exploration of dynamic social and non-social video scenes, to characterize diverse functions in area F7 of dorsomedial premotor cortex in the macaque monkey (Macaca mulatta) previously suggested to be involved in the representation of social interactions. We found that neural populations within this area carry information about both visual events in the videos, like head turning, and higher-level social categories, like grooming. In addition to signaling visual events, the population also encoded the delivery of juice reward. Our novel free viewing paradigm and naturalistic stimuli elicited active visual exploration, and we found that a large fraction of F7 neurons responded to the subjects own saccadic eye movements. Information from these three different domains were not separated across distinct neural sub-populations, but distributed, such that many neurons carried sensory, reward, and motor information in a mixed format. Thus we uncover a hitherto unappreciated diversity of functions in region F7 within dorsomedial frontal cortex.

Reasoning about someones thoughts and intentions - i.e., forming a theory of mind - is an important aspect of social cognition that relies on association areas of the brain that have expanded disproportionately in the human lineage. We recently showed that these association zones comprise parallel distributed networks that, despite occupying adjacent and interdigitated regions, serve dissociable functions. One network is selectively recruited by theory of mind processes. What circuit properties differentiate these parallel networks? Here, we show that social cognitive association areas are intrinsically and selectively connected to regions of the anterior medial temporal lobe that are implicated in emotional learning and social behaviors, including the amygdala at or near the basolateral complex and medial nucleus. The results suggest that social cognitive functions emerge through coordinated activity between amygdala circuits and a distributed association network, and indicate the medial nucleus may play an important role in social cognition in humans.

Microscale biophysical alterations in neuronal dynamics can have profound implications for macroscale pathological outcomes in the brain. Despite the critical need to link neuronal perturbations to large-scale disease manifestations, few studies successfully bridge these hierarchical scales. Here, we bridge microscale biophysical variability within neuronal dynamics to macroscale disease-related phenotypes. We find that Drosophila models expressing tauopathy- and epilepsy-associated molecular mutations exhibit increased dynamic instability in the timing of action potential initiation, and microscale biophysical changes are manifested at the level of the macroscale global brain state. We show that variability in voltage-gated sodium channel currents during non-stationary channel inactivation may act as a microscale biophysical contributor to the increased dynamic instability observed in action potential timing. We also find that treatment with antiepileptic drugs stabilizes neuronal dynamics by modulating this variability in voltage-gated sodium channel currents. Finally, we show that neurons derived from human induced pluripotent stem cells (iPSCs) from patients with Alzheimers disease and epilepsy exhibit analogous dynamic instability, which is reversible by administration of antiepileptic medications. Our results highlight how subtle microscale neuronal instabilities propagate and are amplified to produce macroscopic pathological phenotypes, providing new biophysical insights into neurological disorders and potential strategies for therapeutic intervention. Significance StatementLinking microscale neuronal changes to macroscale disease phenotypes remains a key challenge in neuroscience biophysics. Here, we show that subtle biophysical instability, such as variability in action potential timing and increased noise in voltage-gated sodium channel activity, can destabilize neuronal network integrity and cause systemic pathology. Stabilizing neuronal dynamics with antiepileptic drugs reverses tau-induced instabilities in a Drosophila disease model. Similar neuronal instabilities occur in fly neurons expressing epilepsy-linked sodium channel mutations and in human iPSC-derived neurons from Alzheimers and epilepsy patients, revealing a shared cellular mechanism. These findings highlight that targeting microscale instabilities may offer a unifying therapeutic approach for complex neurological disorders.

A more complete understanding of the molecular mechanisms by which substance use is encoded in the brain could illuminate novel strategies to treat substance use disorders, including cocaine use disorder (CUD). We have previously discovered that Zfp189, which encodes a Kruppel-associated box zinc finger protein (KZFP) transcription factor (TF), differentially accumulates in nucleus accumbens (NAc) Drd1+ and Drd2+ medium spiny neurons (MSNs) over the course of cocaine exposure and is causal in producing MSN functional and behavioral changes to cocaine1. Here, we aimed to illuminate the brain cell-type specific molecular mechanisms through which this KZFP TF produces CUD-related brain changes, with emphasis on investigating transposable elements (TEs), since KZFPs like ZFP189 are known regulators of TEs2-6. First, we annotated TEs in existing single nuclei RNA-sequencing (snRNAseq) datasets of rodents that were exposed to either acute or repeated cocaine. We discovered that expression of NAc TEs was dramatically altered by cocaine experience, the most sensitive NAc cell-type was MSNs, and TEs in Drd1+ MSNs were considerably more dynamic over the course of cocaine exposure than TEs in Drd2+ MSNs. To determine the causality of this TE dysregulation within NAc MSNs in cocaine-induced brain changes, we virally delivered conditional synthetic ZFP189 TFs of our own design to Drd1+ or Drd2+ MSNs. These synthetic ZFP189 TFs are capable of directly activating (ZFP189VPR) or repressing (ZFP189WT) brain TEs2. We discover that behavioral and cell morphological adaptations to cocaine are produced by activating TEs with ZFP189VPR in Drd1+ MSNs or stabilizing TEs with ZFP189WT in Drd2+ MSNs, revealing a persistent opponent process balanced across MSN subtypes and weighted by TE stability and consequent gene expression within MSN subtype. We next performed snRNAseq of the whole NAc virally manipulated with ZFP189 TFs. We observed that, relative to ZFP189WT, NAc manipulated with ZFP189VPR impeded cocaine-induced gene expression in NAc cell-types, including both Drd1+ and Drd2+ MSNs. Within either MSN subtype, the consequence of normal ZFP189 function was to enhance immune-related gene expression, and ZFP189VPR impeded these gene expression profiles. We finally performed cocaine intravenous self-administration to determine the consequence of NAc ZFP189-mediated transcriptional control on cocaine use behaviors. We observed that ZFP189VPR impeded any increases in active lever responses following a period forced cocaine abstinence. This research demonstrates that KZFP-mediated transcriptional repression of TEs within NAc MSNs is a causal molecular step in enabling gene expression and subsequent cellular and behavioral responses to cocaine use, and the use of ZFP189VPR in this work demonstrates cell-type specific mechanistic strategies to block CUD-related brain adaptations, which may inform future CUD treatments.

Select prion diseases are characterized by widespread cerebral plaque-like deposits of amyloid fibrils enriched in heparan sulfate (HS), a major extracellular matrix component. HS facilitates fibril formation in vitro, yet how HS impacts fibrillar plaque growth within the brain is unclear. Here we found that prion-bound HS chains are highly sulfated, and that the sulfation is essential for HS accelerating prion conversion in vitro. Using conditional knockout mice to deplete the HS sulfation enzyme, Ndst1 (N-deacetylase, N-sulfotransferase), from neurons or astrocytes, we investigated how reducing HS sulfation impacts survival and prion aggregate distribution during a prion infection. Neuronal Ndst1-depleted mice survived longer and showed fewer and smaller parenchymal plaques, shorter fibrils, and increased vascular amyloid, consistent with enhanced aggregate transit toward perivascular drainage channels. The prolonged survival was strain-dependent, affecting mice infected with extracellular, plaque-forming, but not membrane bound, prion strains. Live PET imaging revealed rapid clearance of prion protein monomers into the CSF in mice expressing unsulfated HS, further suggesting that HS sulfate groups hinder transit of extracellular prion monomers. Our results directly show how a host cofactor slows the spread of prion protein through the extracellular space and identify an enzyme target to facilitate aggregate clearance. Author summaryPrions cause a rapidly progressive neurologic disease and death with no curative treatment available. Prion aggregates accumulate exponentially in the brain in affected individuals triggering neuronal loss and neuroinflammation. Yet the additional molecules that facilitate aggregation are largely unknown, and their identification may lead to new therapeutic targets. We have found that prions in the brain preferentially bind to a highly sulfated endogenous polysaccharide, known as heparan sulfate (HS). Here we use genetically modified mice that express poorly sulfated neuron-derived HS, and infect mice with different prions strains. We find that the mice infected with a plaque-forming prion strain show a prolonged survival and fewer plaques compared to the controls. We also found that the prion protein was efficiently transported in the interstitial fluid in mice having poorly sulfated HS, suggesting that the prion protein is more readily cleared from the brain. Our study provides insight into how HS retains prion aggregates in the brain to accelerate disease and indicates the specific HS biosynthetic enzymes to target for enhancing protein clearance.

Temporal control of action is key for a broad range of behaviors and is disrupted in human diseases such as Parkinsons disease and schizophrenia. A brain structure that is critical for temporal control is the dorsal striatum. Experience and learning can influence dorsal striatal neuronal activity, but it is unknown how these neurons change with experience in contexts which require precise temporal control of movement. We investigated this question by recording from medium-spiny neurons (MSNs) in the dorsal striatum of mice as they gained experience controlling their actions in time. We leveraged an interval timing task optimized for mice which required them to "switch" response ports after enough time had passed without receiving a reward. We report three main results. First, we found that time-related ramping activity and response-related activity increased with more experience. Second, temporal decoding by MSN ensembles improved with experience and was predominantly driven by time-related ramping activity. Finally, we found that some MSNs had differential modulation on error trials. These findings enhance our understanding of dorsal striatal temporal processing by demonstrating how MSN ensembles can evolve with experience. Our results can be linked to temporal habituation and illuminate striatal flexibility during interval timing, which may be relevant for human disease.

The ability to attend to specific moments in time is crucial for survival across species facilitating perception and motor performance by leveraging prior temporal knowledge for predictive processing. Despite its importance, the neural mechanisms underlying the utilization of macro-scale and meso-scale neural resources during temporal processing and their relationship to behavioural strategies and motor responses remain largely unexplored. To investigate the capacity for predictive temporal structure of multisensory stimuli to optimize motor behaviour, we established a behavioural paradigm, in which mice were trained to an auditory-cue and visual-target presented at expected or unexpected temporal delays. Using a combination of stimulus-evoked and resting-state functional magnetic resonance imaging, we examined task-related evoked activity in brain-wide networks and found that that the formation of temporal expectations relying on accumulated sensory information and combined multisensory input involves plasticity across large macro-scale cortical networks comprised of primary sensory systems, sensory association areas including posterior parietal cortex, retrosplenial cortex, prefrontal top-down executive control centres of the brain, as well as hippocampal networks. Additionally, employing in vivo two-photon calcium imaging, we explored local single-cell dynamics within the posterior parietal cortex during this task and found that temporal expectation could be decoded directly from neuronal activity within this brain region. Overall, our study provides insights into the neural correlates underlying the formation of multisensory temporal expectations in the mouse brain and highlights the recruitment of neural resources across temporally-driven statistical learning processes.

Neurons that are active during action execution and action observation (i.e. Action Observation/Execution Neurons, AOENs) are distributed across the brain in a network of parietal, motor, and prefrontal areas. In a previous study, we showed that most AOENs in ventral premotor area F5c, where they were discovered three decades ago, responded in a highly phasic way during the observation of a grasping action, did not require the perception of causality or a meaningful action, and even responded to static frames of the action videos. To assess whether these characteristics are shared with AOENs in other areas of the AOE network, we performed the first large-scale neural recordings during action execution and action observation in multiple frontal areas including dorsal premotor (PMd) area F2, primary motor (M1) cortex, ventral premotor area F5p, frontal eye field (FEF) and 45B. In all areas, AOENs displayed highly phasic responses during specific epochs of the action video and strong responses to simple movements of an object, similar to F5c. In addition, the population dynamics in PMv, PMd and M1 showed a shared representation between action execution and action observation, with an overlap that was as large as the overlap between action execution and passive viewing of simple translation movements. These results pose important constraints on the interpretation of action observation responses in frontal cortical areas.

Flexible computation is a hallmark of intelligent behavior. Yet, little is known about how neural networks contextually reconfigure for different computations. Humans are able to perform a new task without extensive training, presumably through the composition of elementary processes that were previously learned. Cognitive scientists have long hypothesized the possibility of a compositional neural code, where complex neural computations are made up of constituent components; however, the neural substrate underlying this structure remains elusive in biological and artificial neural networks. Here we identified an algorithmic neural substrate for compositional computation through the study of multitasking artificial recurrent neural networks. Dynamical systems analyses of networks revealed learned computational strategies that mirrored the modular subtask structure of the task-set used for training. Dynamical motifs such as attractors, decision boundaries and rotations were reused across different task computations. For example, tasks that required memory of a continuous circular variable repurposed the same ring attractor. We show that dynamical motifs are implemented by clusters of units and are reused across different contexts, allowing for flexibility and generalization of previously learned computation. Lesioning these clusters resulted in modular effects on network performance: a lesion that destroyed one dynamical motif only minimally perturbed the structure of other dynamical motifs. Finally, modular dynamical motifs could be reconfigured for fast transfer learning. After slow initial learning of dynamical motifs, a subsequent faster stage of learning reconfigured motifs to perform novel tasks. This work contributes to a more fundamental understanding of compositional computation underlying flexible general intelligence in neural systems. We present a conceptual framework that establishes dynamical motifs as a fundamental unit of computation, intermediate between the neuron and the network. As more whole brain imaging studies record neural activity from multiple specialized systems simultaneously, the framework of dynamical motifs will guide questions about specialization and generalization across brain regions.

Working memory is the ability to briefly remember and manipulate information after it becomes unavailable to the senses. The mechanisms supporting working memory coding in the primate brain remain controversial. Here we demonstrate that microcircuits in layers 2/3 of the primate lateral prefrontal cortex dynamically represent memory content in a naturalistic task through sequential activation of single neurons. We simultaneously recorded the activity of hundreds of neurons in the lateral prefrontal cortex of macaque monkeys during a naturalistic visuospatial working memory task set in a virtual environment. We found that the sequential activation of single neurons encoded trajectories to target locations held in working memory. Neural sequences were not a mere successive activation of cells with memory fields at specific spatial locations, but an abstract representation of the subjects trajectory to the target. Neural sequences were less correlated to target trajectories during perception and were not found during working memory tasks lacking the spatiotemporal structure of the naturalistic task. Finally, ketamine administration distorted neural sequences, selectively decreasing working memory performance. Our results indicate that neurons in the lateral prefrontal cortex causally encode working memory in naturalistic conditions via complex and temporally precise activation patterns.

Connections from the basolateral amygdala (BLA) to medial prefrontal cortex (PFC) regulate memory and emotion and become disrupted in neuropsychiatric disorders. We hypothesized that the diverse roles attributed to interactions between the BLA and PFC reflect multiple circuits nested within a wider network. To assess these circuits, we first used anatomy to show that the rostral BLA (rBLA) and caudal BLA (cBLA) differentially project to prelimbic (PL) and infralimbic (IL) subregions of the PFC, respectively. We then combined in vivo silicon probe recordings and optogenetics to show that rBLA primarily engages PL, whereas cBLA mainly influences IL. Using ex vivo whole-cell recordings and optogenetics, we then assessed which neuronal subtypes are targeted, showing that rBLA preferentially drives layer 2 (L2) cortico-amygdalar (CA) neurons in PL, whereas cBLA drives layer 5 (L5) pyramidal tract (PT) cells in IL. Lastly, we used soma-tagged optogenetics to explore the local circuits linking superficial and deep layers of PL, showing how rBLA can also impact L5 PT cells. Together, our findings delineate how subregions of the BLA target distinct networks within the PFC to have different influence on prefrontal output.

Adaptive value-guided decision-making requires weighing up the costs and benefits of pursuing an available opportunity. Though neurons across frontal cortical-basal ganglia circuits have been repeatedly shown to represent decision-related parameters, it is unclear whether and how this information is coordinated. To address this question, we performed large-scale single unit recordings simultaneously across 5 medial/orbital frontal and basal ganglia regions as rats decided whether to pursue varying reward payoffs available at different effort costs. We found that single neurons encoding combinations of the canonical decision variables (reward, effort and choice) were represented within all recorded brain regions. Co-active cell assemblies - ensembles of neurons that repeatedly co-activated within short time windows (<25ms) within and across structures - were able to provide representations of the same decision variables through the synchronisation of individual neurons with different coding properties. Together, these findings demonstrate a hierarchical encoding structure for cost-benefit computations, where individual neurons with diverse encoding properties are coordinated into larger, low-dimensional spaces within and across brain regions that can signal decision parameters on the millisecond timescale.

Nanoscale protein organization within the active zone (AZ) and post-synaptic density (PSD) influences synaptic transmission. Nanoclusters of presynaptic Munc13-1 are associated with readily releasable pool size and neurotransmitter vesicle priming, while postsynaptic PSD-95 nanoclusters coordinate glutamate receptors across from release sites to control their opening probability. Nanocluster number, size, and protein density vary between synapse types and with development and plasticity, supporting a wide range of functional states at the synapse. Whether or how the receptors themselves control this critical architecture remains unclear. One prominent PSD molecular complex is the NMDA receptor (NMDAR). NMDARs coordinate several modes of signaling within synapses, giving them the potential to influence synaptic organization through direct protein interactions or through signaling. We found that loss of NMDARs results in larger synapses that contain smaller, denser, and more numerous PSD-95 nanoclusters. Intriguingly, NMDAR loss also generates retrograde reorganization of the active zone, resulting in denser, more numerous Munc13-1 nanoclusters, more of which are aligned with PSD-95 nanoclusters. Together, these changes to synaptic nanostructure predict stronger AMPA receptor-mediated transmission in the absence of NMDARs. Notably, while prolonged antagonism of NMDAR activity increases Munc13-1 density within nanoclusters, it does not fully recapitulate these trans-synaptic effects. Thus, our results confirm that NMDARs play an important role in maintaining pre- and postsynaptic nanostructure and suggest that both decreased NMDAR expression and suppressed NMDAR activity may exert distinct effects on synaptic function, yet through unique architectural mechanisms. Significance StatementSynaptic transmission is shaped by the trans-synaptic coordination of molecular ensembles required for neurotransmitter release and receptor retention, but how receptors themselves influence this critical architecture remains unclear. Using state-of-the-art super-resolution microscopy, we report that loss of NMDA receptors from excitatory synapses alters both pre- and postsynaptic nano-organizational features. Notably, pharmacological antagonism of NMDA receptors also alters presynaptic features, but without fully mimicking effects of the knockout. This suggests that both NMDA receptor activity and presence at the synapse exert retrograde influence on active zone organization. Because numerous disease and activity states decrease expression or function of NMDA receptors, our results suggest that distinct nanostructural states contribute to the unique functional status of synapses in these disorders.

GlyT2-positive interneurons, Golgi and Lugaro cells, reside in the input layer of the cerebellar cortex in a key position to influence information processing. Here, we examine the contribution of GlyT2-positive interneurons to network dynamics in Crus 1 of mouse lateral cerebellar cortex during free whisking. We recorded neuronal population activity using NeuroPixels probes before and after chemogenetic downregulation of GlyT2-positive interneurons. Under resting conditions, cerebellar population activity reliably encoded whisker movements. Reductions in the activity of GlyT2-positive cells produced mild increases in neural activity which did not significantly impair these sensorimotor representations. However, reduced Golgi and Lugaro cell inhibition did increase the temporal alignment of local population network activity at the initiation of movement. These network alterations had variable impacts on behaviour, producing both increases and decreases in whisking velocity. Our results suggest that inhibition mediated by GlyT2-positive interneurons primarily governs the temporal patterning of population activity, which in turn is required to support downstream cerebellar dynamics and behavioural coordination. SIGNIFICANCE STATEMENTThe cerebellum has a simple and conserved structure which has tantalised neurobiologists wishing to understand its function. Here we look at the role of granule cell layer inhibitory interneurons, Golgi and Lugaro cells, in the cerebellar cortex. We selectively turned down the activity of these cells in the awake cerebellum to characterise their influence on network activity and behaviour. We show that downregulation of Golgi and Lugaro cells has very little influence on sensorimotor representations in the cerebellum (i.e., what is represented), but instead modulates the timing of cortical population activity (i.e., when information is represented). Our results indicate that inhibitory interneurons in the granule cell layer are necessary to appropriately pace changes in cerebellar activity to match ongoing behaviour.