50 research outputs found

    Developmental depression-to-facilitation shift controls excitation-inhibition balance

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    Changes in the short-term dynamics of excitatory synapses over development have been observed throughout cortex, but their purpose and consequences remain unclear. Here, we propose that developmental changes in synaptic dynamics buffer the effect of slow inhibitory long-term plasticity, allowing for continuously stable neural activity. Using computational modeling we demonstrate that early in development excitatory short-term depression quickly stabilises neural activity, even in the face of strong, unbalanced excitation. We introduce a model of the commonly observed developmental shift from depression to facilitation and show that neural activity remains stable throughout development, while inhibitory synaptic plasticity slowly balances excitation, consistent with experimental observations. Our model predicts changes in the input responses from phasic to phasic-and-tonic and more precise spike timings. We also observe a gradual emergence of short-lasting memory traces governed by short-term plasticity development. We conclude that the developmental depression-to-facilitation shift may control excitation-inhibition balance throughout development with important functional consequences

    Distributional coding of associative learning in discrete populations of midbrain dopamine neurons

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    Midbrain dopamine neurons are thought to play key roles in learning by conveying the difference between expected and actual outcomes. Recent evidence suggests diversity in dopamine signaling, yet it remains poorly understood how heterogeneous signals might be organized to facilitate the role of downstream circuits mediating distinct aspects of behavior. Here, we investigated the organizational logic of dopaminergic signaling by recording and labeling individual midbrain dopamine neurons during associative behavior. Our findings show that reward information and behavioral parameters are not only heterogeneously encoded but also differentially distributed across populations of dopamine neurons. Retrograde tracing and fiber photometry suggest that populations of dopamine neurons projecting to different striatal regions convey distinct signals. These data, supported by computational modeling, indicate that such distributional coding can maximize dynamic range and tailor dopamine signals to facilitate specialized roles of different striatal regions

    Functional consequences of pre- and postsynaptic expression of synaptic plasticity

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    Growing experimental evidence shows that both homeostatic and Hebbian synaptic plasticity can be expressed presynaptically as well as postsynaptically. In this review, we start by discussing this evidence and methods used to determine expression loci. Next, we discuss functional consequences of this diversity in pre- and postsynaptic expression of both homeostatic and Hebbian synaptic plasticity. In particular, we explore the functional consequences of a biologically tuned model of pre- and postsynaptically expressed spike-timing-dependent plasticity complemented with postsynaptic homeostatic control. The pre- and postsynaptic expression in this model predicts 1) more reliable receptive fields and sensory perception, 2) rapid recovery of forgotten information (memory savings) and 3) reduced response latencies, compared to a model with postsynaptic expression only. Finally we discuss open questions that will require a considerable research effort to better elucidate how the specific locus of expression of homeostatic and Hebbian plasticity alters synaptic and network computations

    Functional consequences of pre- and postsynaptic expression of synaptic plasticity

    Get PDF
    Growing experimental evidence shows that both homeostatic and Hebbian synaptic plasticity can be expressed presynaptically as well as postsynaptically. In this review, we start by discussing this evidence and methods used to determine expression loci. Next, we discuss the functional consequences of this diversity in pre- and postsynaptic expression of both homeostatic and Hebbian synaptic plasticity. In particular, we explore the functional consequences of a biologically tuned model of pre- and postsynaptically expressed spike-timing-dependent plasticity complemented with postsynaptic homeostatic control. The pre- and postsynaptic expression in this model predicts (i) more reliable receptive fields and sensory perception, (ii) rapid recovery of forgotten information (memory savings), and (iii) reduced response latencies, compared with a model with postsynaptic expression only. Finally, we discuss open questions that will require a considerable research effort to better elucidate how the specific locus of expression of homeostatic and Hebbian plasticity alters synaptic and network computations.This article is part of the themed issue 'Integrating Hebbian and homeostatic plasticity'

    Portuguese recommendations for the use of ultrasound in rheumatology

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    © 2001-2021 Sociedade Portuguesa de Reumatologia.Introduction: Ultrasound (US) is a relatively cheap, easily available and reliable method to improve the care of rheumatic patients. However, its use in rheumatology practice is very heterogeneous and needs to be standardized. Objectives: To develop recommendations for the use of US in rheumatic diseases endorsed by the Portuguese Society of Rheumatology. Methods: A systematic literature review of the available recommendations on the use of ultrasound in rheumatic diseases was performed and presented in a Portuguese Society of Rheumatology meeting to a subgroup of rheumatologists and rheumatology trainees with special interest in the subject. The most important topics to be addressed were selected and assigned to subgroups for literature review and draft recommendations. Following an iterative process of consensus, the final recommendations were developed, and their level of agreement voted anonymously online. A recommendation was approved when the average level of agreement was ≥ 7.5 in a 10-point Likert scale. Results: Fourteen recommendations were produced regarding nine rheumatology topics: rheumatoid arthritis, spondyloarthritis, connective tissue diseases, polymyalgia rheumatica, vasculitis, crystal-deposition diseases, soft tissue rheumatism, osteoarthritis and ultrasound-guided procedures. Conclusion: We developed an up-to-date guidance in the form of recommendations for the use of US in nine different areas of rheumatology. As ultrasound is an important imaging modality with increasing use in the rheumatology setting, and there are frequent technological advances in the ultrasound machines and probes, in parallel with continuous associated research, these recommendations should be regularly updated.info:eu-repo/semantics/publishedVersio

    Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity

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    Long-term modifications of neuronal connections are critical for reliable memory storage in the brain. However, their locus of expression—pre- or postsynaptic—is highly variable. Here we introduce a theoretical framework in which long-term plasticity performs an optimization of the postsynaptic response statistics toward a given mean with minimal variance. Consequently, the state of the synapse at the time of plasticity induction determines the ratio of pre- and postsynaptic modifications. Our theory explains the experimentally observed expression loci of the hippocampal and neocortical synaptic potentiation studies we examined. Moreover, the theory predicts presynaptic expression of long-term depression, consistent with experimental observations. At inhibitory synapses, the theory suggests a statistically efficient excitatory-inhibitory balance in which changes in inhibitory postsynaptic response statistics specifically target the mean excitation. Our results provide a unifying theory for understanding the expression mechanisms and functions of long-term synaptic transmission plasticity
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