Search bioRxiv⌕ Search

Biology subjects

Fukai, T.

Publications and source records attributed to Fukai, T..

At least 19 recordsLinked to original sources

Improved spatial memory in a modular network mimicking the prefrontal-thalamo-hippocampal triangular circuit

The hippocampus (HPC), prefrontal cortex (PFC), and thalamic nuclei, such as reuniens (Re), form a reciprocally connected circuit that plays a critical role in processing hippocampus-dependent memory. Accumulating evidence suggests that this triangular modular circuit is crucial for performing cognitive tasks that require context-dependent memory, which belong to a class of behavioral tasks difficult for animals to learn. Experiments are gradually revealing what behavioral information these brain regions represent, but how the triangular circuit gives rise to the observed divisions of labor remains unknown. It is also unclear whether the triangular modular circuit brings any advantage in solving such tasks. Here, we addressed these questions by constructing a prefrontal-thalamo-hippocampal circuit model comprising interconnected long-short-term memory (LSTM) units and training it on contextual memory-dependent spatial navigation tasks. Our model revealed the critical roles of the distinct brain modules. The HPC module encoded spatial information, whereas the PFC module represented the spatiotemporal task structure in a context-dependent manner. The Re module integrated task-relevant information to facilitate learning in the PFC and HPC modules, dynamically harmonizing these modules. The thalamic coordination of the other modules enhanced the systems robustness in learning to navigate complex environments. This division of labor between the HPC, PFC, and Re modules was not specified a priori but emerged through learning, showing an interesting coincidence with the task-related activities of the prefrontal-thalamo-hippocampal circuit. Our results demonstrate that the multi-modular network structure is crucial for robust processing of context-dependent memory.

neuroscience↗

Myeloid DRP1 Sulfenylation Drives Reparative Macrophage Polarization and Neovascularization in Ischemic Muscle

Reparative macrophage polarization and macrophage-derived reactive oxygen species (ROS) are required for ischemia-induced revascularization in peripheral artery disease (PAD). Our previous study showed that mitochondrial fission protein DRP1 promotes reparative polarization and metabolic reprogramming in macrophages and post-ischemic neovascularization. However, the redox-dependent mechanism governing DRP1 activation in this context remains elusive. Here, using a mouse hindlimb ischemia (HLI) model of PAD, we identify cysteine sulfenylation (CysOH) of DRP1 as a critical redox modification induced in ischemic bone marrow (BM)-derived cells. BM chimeric mice reconstituted with CRISPR/Cas9-generated "redox-dead" DRP1-C631A knock-in mutant (Drp1C/A) BM exhibited markedly reduced limb perfusion recovery and CD31 capillary density in ischemic muscles following HLI. These defects were associated with enhanced Ly6G neutrophil accumulation, pro-inflammatory F4/80CD80 M1 macrophages and reduced anti-inflammatory F4/80CD206 M2 macrophages in ischemic muscle. Mechanistically, using an in vitro PAD model, hypoxia-serum starvation (HSS) rapidly induced cytosolic ROS production and DRP1-CysOH formation in wild type macrophages. In contrast, Drp1C/A macrophages failed to undergo DRP1-CysOH-dependent mitochondrial fission under HSS, resulting in aberrant metabolic reprogramming characterized by enhanced glycolysis and mitochondrial ROS, pro-inflammatory p-NF-{kappa}B and M1-genes, and suppressed anti-inflammatory p-AMPK and M2-genes. Thus, our findings establish DRP1 sulfenylation as a previously unrecognized redox-sensing mechanism that links ischemia-induced ROS to reparative macrophage reprogramming and revascularization, identifying a novel therapeutic target for PAD.

cell biology↗

A microcircuit model for initiation and reward-dependent termination of hippocampal replay

Sharp-wave ripples (SWRs) serve as a key network state in which the hippocampus replays spatiotemporal patterns that reflect animals experiences. However, how the hippocampal circuitry controls the generation, duration, and termination of these events remains unclear. To clarify how behaviorally salient locations are encoded into replay, we constructed a biologically plausible model of area CA3, including three classes of inhibitory neurons -- parvalbumin-positive basket cells, cholecystokinin-positive basket cells (CCKBC), and theta-OFF, ripple-ON cells (TORO). In our model, replay and SWRs emerge from TORO-mediated release of CCKBC inhibition onto pyramidal cells, as hypothesized by experiments. Furthermore, our model suggests that short-term depression at TORO-CCKBC synapses controls replay duration and identifies a mechanism through which replay overrepresents reward-associated locations. Our model predicts that replays terminating at these locations are shorter, which we confirm in experimental data. Overall, this study provides a mechanistic framework for SWRs and replay dynamics in the hippocampus.

neuroscience↗

Intra- and Interhemispheric Signatures of Criticality at the Onset of Synchronization

The cerebral cortex must flexibly alternate between locally segregated activity that supports specialization and long-range interactions that enable integration. How cortical networks balance these competing demands remains unclear. We propose that fluctuations around a critical point between ordered and disordered phases provide a natural framework to understand coordinated neuronal activity across scales. Using simultaneous spiking recordings from the left and right prefrontal cortex (PFC) of freely behaving rats, we found that signatures of criticality emerged at the onset of neuronal synchronization, both locally within individual hemispheres and globally across the combined population. Over time, cortical activity explored a continuum of intra-and inter-hemispheric synchrony levels, including states in which neurons were locally desynchronized yet maintained interhemispheric coupling. A computational model operating near its critical regime reproduced these empirical patterns, capturing the characteristic relationship between local and long-range coordination. These results suggest that cortical networks achieve flexible transitions between local and global computation by fluctuating around a critical regime.

neuroscience↗

The Connectome Modulates Critical Brain Dynamics Across Local and Global Scales

Neuronal activity in the brain has been hypothesized to operate near criticality-a dynamical regime poised between order and disorder that maximizes information processing, adaptability, and dynamic range. While criticality has been extensively studied at local scales (within neuronal populations) and at global scales (across interacting brain regions), the interplay between these levels remains poorly understood. Here, we propose a multiscale computational framework that bridges local and global criticality within a single, mechanistic model. At the mesoscopic level, individual brain regions are represented by neural mass models tuned near the transition between asynchronous and synchronous regimes. These regions are then coupled via an empirically derived mouse connectome to investigate how structural connectivity shapes the emergence of large-scale coordination. We show that (i) local near critical dynamics for an isolated brain region can be faithfully reproduced within a mean-field model framework, (ii) local distance to criticality is modulated by long-range coupling, (iii) whole-brain simulations reveal non-linear gradients of timescales and heterogeneous shifts towards/away from local criticality, and (iv) global criticality, manifested in scale-free avalanche distributions and optimal functional connectivity, emerges when local populations are locally tuned near criticality and coupled within an optimal range. These results demonstrate that local and global criticality are dynamically intertwined but not directly aligned, and that their relationship depends on the underlying structural connectivity. Our multiscale modeling framework provides a tractable tool for generating testable hypotheses on how brain criticality co-arises across scales and how it may be modulated in health and disease.

neuroscience↗

Neddylation Regulates Mitochondrial Dynamics and Turnover in the Adult Heart

BACKGROUNDDisruption of mitochondrial homeostasis drives cardiomyopathy and heart failure, yet upstream regulatory mechanisms remain poorly defined. Neddylation, a reversible post-translational conjugation of the ubiquitin-like protein NEDD8 by E1/E2/E3 enzymes, is essential for cardiac morphogenesis, but its role in the adult heart is unknown. METHODSWe assessed the relevance of neddylation to human cardiac disease by gene set enrichment analysis of ischemic (ICM) and non-ischemic cardiomyopathy (NICM) datasets and by immunoblotting and qPCR of ventricular tissue from patients with ICM or dilated cardiomyopathy (DCM). In adult mice, we induced cardiomyocyte-restricted deletion of the NEDD8-activating enzyme 1 (NAE1) by tamoxifen injection and monitored cardiac function at baseline and after transverse aortic constriction (TAC). Bulk RNA-seq 4 weeks post-tamoxifen was combined with bioenergetic, biochemical, and ultrastructural analyses. To assess mitochondrial dynamics, we generated NAE1/MFN2 and NAE1/DRP1 double-knockout mice. Cullin activity, mitochondrial ubiquitination, and mitophagy were measured in hearts and cultured cardiomyocytes. RESULTSNeddylation pathways were dysregulated in human ICM and NICM datasets and in failing ICM/DCM myocardium. Cardiomyocyte-specific NAE1 deletion caused systolic dysfunction and heart failure by 10 weeks post-tamoxifen, culminating in premature death and exacerbating TAC-induced pressure-overload heart failure. At 4 weeks, NAE1 loss repressed metabolic and mitochondrial bioenergetic programs, reduced ATP production, and impaired respiration. Electron microscopy revealed elongated mitochondria and accumulated mitophagic vesicles, with dysregulation of DRP1, MFN2, PINK1, LC3-II, and p62. DRP1/NAE1 co-deletion accelerated systolic failure relative to either single knockout, whereas MFN2/NAE1 co-deletion did not alter early disease progression, implicating pathogenic mitochondrial hyperfusion. Genetic NAE1 depletion in vivo and pharmacologic NAE1 inhibition in vitro impaired mitophagic vesicle formation and flux, inactivated cullin scaffold proteins, reduced mitochondrial ubiquitination, and blunted mitophagic clearance. CONCLUSIONSCardiac neddylation preserves adult heart function by coordinating mitochondrial fusion-fission dynamics and sustaining cullin-dependent ubiquitination and turnover of damaged mitochondria. These findings identify neddylation as a key regulator of mitochondrial quality control and link its disruption to human cardiomyopathy. Therapeutically, targeting the neddylation-cullin axis may limit mitochondrial dysfunction, enhance mitophagy, and improve energetic reserve in failing hearts, while neddylation signatures in patient myocardium may help guide stratification and precision therapy for cardiomyopathy. Clinical PerspectiveO_ST_ABSWhat Is New?C_ST_ABS* Demonstrates for the first time that the NEDD8-activating enzyme (NAE1)driven neddylation pathway is indispensable for maintaining mitochondrial quality control in the adult heart. * Links loss of neddylation to mitochondrial hyperfusion, impaired mitophagy, and rapid progression to heart failure. * Reveals that neddylation promotes cullin-RING ligase-mediated ubiquitination of damaged mitochondria, coupling mitochondrial dynamics with turnover. What Are the Clinical Implications?* Restoring or enhancing cardiac neddylation may represent a novel therapeutic avenue for cardiomyopathies characterized by mitochondrial dysfunction. * Pharmacologic agents that bolster DRP1-dependent fission or activate cullin neddylation could potentially normalize mitochondrial dynamics and improve myocardial energetics. * Conversely, systemic neddylation inhibitors now in oncology trials warrant careful cardiac monitoring, as they may precipitate mitochondrial injury and heart failure. * Circulating or tissue markers of neddylation might help stratify patients at heightened risk for mitochondrial-driven cardiac disease and guide precision therapy.

physiology↗

Memory-specific E-I balance supports diverse replay and mitigates catastrophic forgetting

The hippocampus is the brains central locus for memory processing. In a widely accepted hypothesis, the hippocampus stores short-term memories in attractor states, which are then consolidated in the neocortex as long-term memories. Hippocampal replay activities play a pivotal role in memory consolidation, but memories are only transiently, not persistently, replayed, casting doubt on the attractor memory hypothesis. Concepts like memory capacity, the upper bound on the number of storable stable memories in a neural network, may also need to be revised if their offline transient activation is more essential for memory consolidation. Here, we explore the biologically plausible mechanism of offline memory processing by asking a recurrent spiking network to replay reliably as many stored assemblies as possible. We demonstrate the importance of memory-assembly-specific inhibitory plasticity for replaying diverse memory assemblies. Furthermore, our results highlight the role of transient memory states in mitigating catastrophic forgetting.

neuroscience↗

Pre-stimulus Brain States Predict and Control Variability in Stimulation Responses

Does the ongoing brain state determine how it responds to localized electrical stimulation? This fundamental question has major implications for neuroscience and medicine, as stimulation outcomes remain highly variable even when identical parameters (how) and target sites (where) are used. Such unpredictability undermines reproducibility, limits clinical reliability, and forces current protocols to rely on empirical trial-and-error rather than principled, evidence-based strategies. Mounting evidence suggests that the brains state prior to stimulation-a crucial when factor-shapes responses, yet the most reliable predictive markers remain unknown. Here, we systematically characterize the links between pre-stimulus (spontaneous) activity and post-stimulus (evoked) responses using simultaneous high-density EEG and stereotactic EEG from 36 epilepsy patients across[~] 320 sessions (>10,000 individual stimulations). We show that large-scale neural dynamics robustly predict stimulation outcomes, with a subset of measures-particularly network synchronization, functional connectivity, and spatiotemporal signal diversity-consistently forecasting responses across sessions. Whole-brain activity enhanced prediction compared to local assessments, and predictability varied across networks, being strongest in sensorimotor and visual regions. These findings establish a quantitative framework for state-dependent brain stimulation: by timing interventions to optimal pre-stimulus states, variability can be reduced and reproducibility enhanced. Our results directly address the fundamental question of where and when to stimulate, providing a pathway toward evidence-based protocols with improved therapeutic precision.

neuroscience↗

Novel Role of Copper Transporter CTR1 and Therapeutic Potential of Copper Chelators in Retinal Ischemia-Reperfusion Injury

BackgroundRetinal ischemia contributes to vision loss in ischemic and diabetic retinopathies through oxidative stress, neurovascular injury, and inflammation. Copper (Cu), while essential, can be toxic in excess and is regulated by Cu transporters such as CTR1. However, the role of CTR1 in ischemic retinopathy remains unclear. Methods and ResultsRetinal ischemia-reperfusion (IR) injury was induced by elevating intraocular pressure to 110 mmHg for 40 minutes in the right eye of Ctr1 heterozygous (Ctr1/-) and wild-type (WT) mice. In WT mice, IR triggered rapid CTR1 upregulation and increased retinal Cu levels (measured by ICP-MS). IR injury caused retinal ganglion cell loss, inner retinal thinning, vascular degeneration, and apoptosis, all of which were significantly attenuated in Ctr1/- mice. Ctr1/- mice also exhibited reduced microglial (Iba1) and glial cells (GFAP) activation and preserved visual function, as assessed by electroretinography. Mechanistically, IR-induced reactive oxygen species (O2-) production (DHE staining), upregulation of NADPH oxidase components (NOX2, p47phox), and NF-{kappa}B activation were markedly suppressed in Ctr1/- mice. Treatment with the Cu chelator tetrathiomolybdate (TTM) similarly reduced retinal thinning, neurovascular damage, apoptosis, gliosis, and oxidative stress after IR injury. ConclusionsCTR1 plays a central role in mediating Cu-dependent oxidative stress, neurovascular degeneration, and inflammation following retinal IR injury. Targeting the CTR1- Cu axis may represent a novel therapeutic strategy for ischemic retinopathy.

cell biology↗

Endothelial Cu Uptake Transporter CTR1 Senses Disturbed Flow to Promote Atherosclerosis through Cuproptosis

Endothelial cells (ECs) lining blood vessels sense disturbed blood flow (D-flow), which drives mitochondrial dysfunction and atherosclerosis. Copper (Cu) is an essential micronutrient, and its disruption of homeostasis has been implicated in atherosclerosis. Cellular Cu levels are tightly controlled by Cu transport proteins including the Cu importer CTR1. Cuproptosis is a recently discovered form of regulated cell death triggered by mitochondrial Cu accumulation, but its endogenous stimulants and role in atherosclerosis remain unknown. Using EC-specific CTR1-deficient mice and cultured ECs, we show that endothelial CTR1 responds to D-flow by increasing mitochondrial Cu levels through its interaction with the mitochondrial Cu transporter SLC25A3 at caveolae/lipid rafts. This leads to the aggregation of lipoylated mitochondrial proteins, mitochondrial dysfunction, and cuproptosis, thereby exacerbating atherosclerosis. Importantly, mitochondria-targeted Cu-chelating nanoparticles effectively mitigate D-flow-induced cuproptosis and atherosclerosis, highlighting the endothelial CTR1-SLC25A3-mitochondrial Cu axis as a potential therapeutic target.

cell biology↗

Compensation of Hyperexcitability with Simulation-Based Inference

The activity of healthy neuronal networks is tightly regulated, and a shift towards hyperexcitability can cause various problems, such as epilepsies, memory deficits, and motor disorders. Numerous cellular, synaptic, and intrinsic mechanisms of hyperexcitability and compensatory mechanisms to restore healthy activity have been proposed. However, quantifying multiple compensatory mechanisms and their dependence on specific pathophysiological mechanisms has proven challenging, even in computational models. We use simulation-based inference to quantify the interactions of putative compensatory mechanisms in a spiking neuronal network model. Various parameters of the model can compensate for changes in other parameters to maintain baseline activity, and we estimated their compensatory potential. Furthermore, specific causes of hyperexcitability - interneuron loss, excitatory recurrent synapses, and principal cell depolarization - have distinct compensatory mechanisms that can restore normal excitability. Our results show that spiking neuronal network simulators could generate hypotheses about the mechanisms of pathophysiological network mechanisms.

neuroscience↗

Altered Copper Transport in Oxidative Stress-Dependent Brain Endothelial Barrier Dysfunction Associated with Alzheimer's Disease

Oxidative stress and blood-brain barrier (BBB) disruption due to brain endothelial barrier dysfunction contribute to Alzheimers Disease (AD), which is characterized by beta-amyloid (A{beta}) accumulation in senile plaques. Copper (Cu) is implicated in AD pathology and its levels are tightly controlled by several Cu transport proteins. However, their expression and role in AD, particularly in relation to brain endothelial barrier function remains unclear. In this study, we examined the expression of Cu transport proteins in the brains of AD mouse models as well as their involvement in A{beta}42-induced brain endothelial barrier dysfunction. We found that the Cu uptake transporter CTR1 was upregulated, while the Cu exporter ATP7A and/or ATP7B were downregulated in the hippocampus of AD mouse models, and in A{beta}42-treated human brain microvascular endothelial cells (hBMECs). In the 5xFAD AD mouse model, Cu levels (assessed by ICP-MS) were elevated in the hippocampus. Moreover, A{beta}42-induced reactive oxygen species (ROS) production, ROS-dependent loss in barrier function in hBMEC (measured by transendothelial electrical resistance), and tyrosine phosphorylation of VE-cadherin were all inhibited by either a membrane permeable Cu chelator or by knocking down CTR1 expression. These findings suggest that dysregulated expression of Cu transport proteins may lead to intracellular Cu accumulation in the AD brain, and that A{beta}42 promotes ROS-dependent brain endothelial barrier dysfunction and VE-Cadherin phosphorylation in a CTR1-Cu-dependent manner. Our study uncovers the critical role of Cu transport proteins in oxidative stress-related loss of BBB integrity in AD. HighlightsO_LIUpregulation of the Cu importer CTR1 and downregulation of the Cu exporter ATP7A in the hippocampus of AD mouse models C_LIO_LIA{beta}42 increases CTR1 expression while reduces ATP7A and ATP7B levels in human brain microvascular ECs. C_LIO_LIA{beta}42 triggers increased reactive oxygen species (ROS) production in human brain microvascular ECs through a CTR1- and Cu-dependent manner. C_LIO_LIA{beta}42 induces endothelial barrier dysfunction in human brain microvascular ECs through a CTR1-Cu-ROS-pendent manner. C_LI

neuroscience↗

Astrocyte Regulation of Synaptic Plasticity Balances Robustness and Flexibility of Cell Assemblies

Cell assemblies are believed to represent the substrate of memory. Although long-term plasticity likely enables the formation of cell assemblies, how other factors, such as astrocytes and short-term plasticity (STP), affect their properties is poorly understood. To close this gap, we investigated cell assembly dynamics in a recurrent network model mimicking the hippocampal area CA3. As shown in experiment, recurrent connections in our model obey a symmetric spike-timing-dependent plasticity (STDP), in which weight change may or may not depend on the releasable amount of neurotransmitter. The former case involves an interplay between STDP and STP. In addition, we implicitly modeled the effect of astrocyte NMDA receptors by manipulating the breadth of the distribution of neurotransmitter release probability in STP. Both STP-dependent and STP-independent STDP enabled spontaneous cell assembly formation. Under the former, however, cell assemblies tend to be smaller and more responsive to external stimulation, improving the networks memory capacity and enabling flexible network restructuring. Furthermore, astrocyte regulation of the STP-dependent STDP facilitates stimulus-driven reorganization of neural networks without destroying existing assembly structure, thus balancing cell assemblies flexibility and robustness. Our findings elucidate the computational advantages of interaction between STP and STDP and highlight astrocytes possible regulatory role in memory formation.

neuroscience↗

Dual roles of idling moments in past and future memories

Every day, we experience new daily episodes and store new memories. Although memories are stored in corresponding engram cells, how different sets of engram cells are selected for current and next episodes, and how they create their memories, remains unclear. We report that in mice, hippocampal CA1 neurons show an organized synchronous activity in prelearning home cage sleep that correlates with the learning ensembles only in engram cells, termed preconfigured ensembles. Moreover, after learning, a subset of nonengram cells develops population activity, which is constructed during postlearning offline periods through synaptic depression and scaling, and then emerges to represent engram cells for new learning. Together, our findings indicate that during offline periods there are two parallel processes occurring: conserving of past memories through reactivation, and preparation for upcoming ones through offline synaptic plasticity mechanisms.

neuroscience↗

Endothelial Drp1 Couples VEGF-induced Redox Signaling with Glycolysis Through Cysteine Oxidation to Drive Angiogenesis

Angiogenesis plays a vital role for postnatal development and tissue repair following ischemia. Reactive oxygen species (ROS) generated by NADPH oxidases (NOXes) and mitochondria act as signaling molecules that promote angiogenesis in endothelial cells (ECs) which mainly relies on aerobic glycolysis for ATP production. However, the connections linking redox signaling with glycolysis are not well understood. The GTPase Drp1 is a member of the dynamin superfamily that moves from cytosol to mitochondria through posttranslational modifications to induce mitochondrial fission. The role of Drp1 in ROS-dependent VEGF signaling and angiogenesis in ECs has not been previously described. Here, we identify an unexpected function of endothelial Drp1 as a redox sensor, transmitting VEGF-induced H2O2 signals to enhance glycolysis and angiogenesis. Loss of Drp1 expression in ECs inhibited VEGF-induced angiogenic responses. Mechanistically, VEGF rapidly induced the NOX4-dependent sulfenylation (CysOH) of Drp1 on Cys644, promoting disulfide bond formation with the metabolic kinase AMPK and subsequent sulfenylation of AMPK at Cys299/304 via the mitochondrial fission-mitoROS axis. This cysteine oxidation of AMPK, in turn, enhanced glycolysis and angiogenesis. In vivo, mice with EC-specific Drp1 deficiency or CRISPR/Cas9-engineered "redox-dead" (Cys to Ala) Drp1 knock-in mutations exhibited impaired retinal angiogenesis and post-ischemic neovascularization. Our findings uncover a novel role for endothelial Drp1 in linking VEGF-induced mitochondrial redox signaling to glycolysis through a cysteine oxidation-mediated Drp1-AMPK redox relay, driving both developmental and reparative angiogenesis.

cell biology↗

Recurrent Interneuron Connectivity does not Support Synchrony in a Biophysical Dentate Gyrus Model

Synchronous activity of neuronal networks is found in many brain areas and correlates with cognition and behavior. Gamma synchrony is particularly strong in the dentate gyrus, which is thought to process contextual information in the hippocampus. Several network mechanisms for synchrony generation have been proposed and studied computationally. One such mechanism relies solely on recurrent inhibitory interneuron connectivity, but it requires a large enough number of synapses. Here, we incorporate connectivity data of the dentate gyrus into a biophysical computational model to test its ability to generate synchronous activity. We find that recurrent interneuron connectivity is insufficient to induce a synchronous network state. This applies to an interneuron ring network and the broader dentate gyrus circuitry. In the asynchronous state, recurrent interneuron connectivity can have small synchronizing effects but can also desynchronize the network for specific types of synaptic input. Our results show that synchronizing mechanisms relying solely on interneurons are unlikely to be biologically plausible in the dentate gyrus.

neuroscience↗

Decomposed frontal corticostriatal ensemble activity changes across trials, revealing distinct features relevant to outcome-based decision making

The frontal cortex-striatum circuit plays a pivotal role in adaptive goal-directed behaviours. However, the mediation of decision-related signals through cross-regional transmission between the medial frontal cortex and the striatum by neuronal ensembles remains unclear. We analysed neuronal ensemble activity obtained through simultaneous multiunit recordings in the secondary motor cortex (M2) and dorsal striatum (DS) while the rats performed an outcome-based choice task. Tensor component analysis (TCA), an unsupervised dimensionality reduction approach at the single-trial level, was adopted for concatenated ensembles of M2 and DS neurons. We identified distinct three spatiotemporal neural dynamics (TCA components) at the single-trial level specific to task-relevant variables. Choice-position selective neural dynamics was correlated with the trial-to-trial fluctuation of behavioural variables. This analytical approach unveiled choice-pattern selective neural dynamics distinguishing whether the incoming choice was a repetition or switch from the previous choice. Other neural dynamics was selective to outcome. Choice-pattern selective within-trial activity increased before response choice, whereas outcome selective within-trial activity increased following response. These results suggest that the concatenated ensembles of M2 and DS process distinct features of decision-related signals at various points in time. The M2 and DS may collaboratively monitor action outcomes and determine the subsequent choice, whether to repeat or switch, for coordinated action selection.

neuroscience↗

Few-shot pattern detection by transient boosting of somato-dendritic coupling

Neurons are thought to detect salient patterns amidst noise in continuous information streams, but their rapidity tends to be overlooked. Consequently, theoretical neuron models lack key mechanistic features that are suggested to underlie biological neuron rapid learning of input patterns. To unravel these features, we propose a class of models endowed with biologically-plausible predictive learning rules. In these models, an error signal propagates somatic spiking activity to dendrites, facilitating unsupervised learning of repeatedly coactivated presynaptic-neuron communities. Spike-triggered transient boosting of dendritic coupling bestows plausibility and improves the signal-to-noise ratio of learning dramatically. We demonstrate that our plasticity rule enables neurons to swiftly establish a behavioral timescale reward-place association in spatial navigation tasks and showcase how cell assemblies pre-configured in recurrent networks learn multiple patterns within a few repetitions robustly. Our results shed light on the self-supervising function of backpropagating action potentials for pattern learning and its acceleration by pre-existing cell assemblies.

neuroscience↗