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      Dual‐Modal Optoelectronic Synaptic Devices with Versatile Synaptic Plasticity

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          Short-term synaptic plasticity.

          Synaptic transmission is a dynamic process. Postsynaptic responses wax and wane as presynaptic activity evolves. This prominent characteristic of chemical synaptic transmission is a crucial determinant of the response properties of synapses and, in turn, of the stimulus properties selected by neural networks and of the patterns of activity generated by those networks. This review focuses on synaptic changes that result from prior activity in the synapse under study, and is restricted to short-term effects that last for at most a few minutes. Forms of synaptic enhancement, such as facilitation, augmentation, and post-tetanic potentiation, are usually attributed to effects of a residual elevation in presynaptic [Ca(2+)]i, acting on one or more molecular targets that appear to be distinct from the secretory trigger responsible for fast exocytosis and phasic release of transmitter to single action potentials. We discuss the evidence for this hypothesis, and the origins of the different kinetic phases of synaptic enhancement, as well as the interpretation of statistical changes in transmitter release and roles played by other factors such as alterations in presynaptic Ca(2+) influx or postsynaptic levels of [Ca(2+)]i. Synaptic depression dominates enhancement at many synapses. Depression is usually attributed to depletion of some pool of readily releasable vesicles, and various forms of the depletion model are discussed. Depression can also arise from feedback activation of presynaptic receptors and from postsynaptic processes such as receptor desensitization. In addition, glial-neuronal interactions can contribute to short-term synaptic plasticity. Finally, we summarize the recent literature on putative molecular players in synaptic plasticity and the effects of genetic manipulations and other modulatory influences.
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            Synaptic computation.

            Neurons are often considered to be the computational engines of the brain, with synapses acting solely as conveyers of information. But the diverse types of synaptic plasticity and the range of timescales over which they operate suggest that synapses have a more active role in information processing. Long-term changes in the transmission properties of synapses provide a physiological substrate for learning and memory, whereas short-term changes support a variety of computations. By expressing several forms of synaptic plasticity, a single neuron can convey an array of different signals to the neural circuit in which it operates.
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              From few to many: illumination cone models for face recognition under variable lighting and pose

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                Author and article information

                Contributors
                Journal
                Advanced Functional Materials
                Adv Funct Materials
                Wiley
                1616-301X
                1616-3028
                January 2022
                September 29 2021
                January 2022
                : 32
                : 1
                : 2107973
                Affiliations
                [1 ]State Key Laboratory of Silicon Materials & School of Materials Science and Engineering Zhejiang University Hangzhou Zhejiang 310027 China
                [2 ]School of Materials Science and Engineering Henan Institute of Advanced Technology Zhengzhou University Zhengzhou Henan 450001 China
                [3 ]Institute of Advanced Semiconductors Hangzhou Innovation Center Hangzhou Zhejiang 311215 China
                Article
                10.1002/adfm.202107973
                39cb4f9e-29b3-407b-8b81-51f1b298483b
                © 2022

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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