• Title/Summary/Keyword: IPSC

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Presynatic Expression of HCN Channel Subunits in Cerebellar Basket Cells

  • Yi, Jee-Hyun;Park, Kyung-Joon;Kang, Shin-Jung;Shin, Ki-Soon
    • Animal cells and systems
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    • v.11 no.2
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    • pp.199-204
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    • 2007
  • HCN (hyperpolarization-activated cyclic nucleotide-gated) channels, whose gene family consists of four subunits (HCN1-4), mediate depolarizing cation currents and contribute to controlling neuronal excitability. In the present study, immunohistochemical and electrophysiological approaches were used to elucidate the role of HCN channels in the cerebellum. Immunohistochemical labeling for HCN1 and HCN2 channels revealed localized expression of both channels at pinceau, the specialized structure of presynaptic axon terminals of basket cells. To determine the functional role of the presynaptic HCN channels, spontaneous inhibitory postsynaptic currents (IPSCs) were recorded from Purkinje cells, the main synaptic targets of basket cells in the cerebellum. While activation of HCN channels by 8-bromo-cAMP increased amplitude of spontaneous IPSCs, blockade of the activated HCN channels by subsequent ZD7288 application reduced the amplitude of spontaneous IPSCs to the level far below the control. Our results imply that modulation of HCN1 and HCN2 channels in presynaptic terminals of basket cells regulates neurotransmitter release, thereby controlling the excitability of Purkinje cells.

뉴로모픽 시스템용 시냅스 트랜지스터의 최근 연구 동향

  • Nam, Jae-Hyeon;Jang, Hye-Yeon;Kim, Tae-Hyeon;Jo, Byeong-Jin
    • Ceramist
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    • v.21 no.2
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    • pp.4-18
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    • 2018
  • Lastly, neuromorphic computing chip has been extensively studied as the technology that directly mimics efficient calculation algorithm of human brain, enabling a next-generation intelligent hardware system with high speed and low power consumption. Three-terminal based synaptic transistor has relatively low integration density compared to the two-terminal type memristor, while its power consumption can be realized as being so low and its spike plasticity from synapse can be reliably implemented. Also, the strong electrical interaction between two or more synaptic spikes offers the advantage of more precise control of synaptic weights. In this review paper, the results of synaptic transistor mimicking synaptic behavior of the brain are classified according to the channel material, in order of silicon, organic semiconductor, oxide semiconductor, 1D CNT(carbon nanotube) and 2D van der Waals atomic layer present. At the same time, key technologies related to dielectrics and electrolytes introduced to express hysteresis and plasticity are discussed. In addition, we compared the essential electrical characteristics (EPSC, IPSC, PPF, STM, LTM, and STDP) required to implement synaptic transistors in common and the power consumption required for unit synapse operation. Generally, synaptic devices should be integrated with other peripheral circuits such as neurons. Demonstration of this neuromorphic system level needs the linearity of synapse resistance change, the symmetry between potentiation and depression, and multi-level resistance states. Finally, in order to be used as a practical neuromorphic applications, the long-term stability and reliability of the synapse device have to be essentially secured through the retention and the endurance cycling test related to the long-term memory characteristics.